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This conference booklet provides information about 10th International Contrastive Linguistics Conference (ICLC-10) that took place in Mannheim, Germany, from 18 to 21 July 2023. It contains
– a description of the conference aims,
– details on the conference venue,
– information on committees,
– the conference program,
– the abstracts of the keynotes, oral and poster presentations, and
– an author index.
Song lyrics can be considered as a text genre that has features of both written and spoken discourse, and potentially provides extensive linguistic and cultural information to scientists from various disciplines. However, pop songs play a rather subordinate role in empirical language research so far - most likely due to the absence of scientifically valid and sustainable resources. The present paper introduces a multiply annotated corpus of German lyrics as a publicly available basis for multidisciplinary research. The resource contains three types of data for the investigation and evaluation of quite distinct phenomena: TEI-compliant song lyrics as primary data, linguistically and literary motivated annotations, and extralinguistic metadata. It promotes empirically/statistically grounded analyses of genre-specific features, systemic-structural correlations and tendencies in the texts of contemporary pop music. The corpus has been stratified into thematic and author-specific archives; the paper presents some basic descriptive statistics, as well as the public online frontend with its built-in evaluation forms and live visualisations.
This report presents a corpus of articulations recorded with Schlieren photography, a recording technique to visualize aeroflow dynamics for two purposes. First, as a means to investigate aerodynamic processes during speech production without any obstruction of the lips and the nose. Second, to provide material for lecturers of phonetics to illustrates these aerodynamic processes. Speech production was recorded with 10 kHz frame rate for statistical video analyses. Downsampled videos (500 Hz) were uplodad to a youtube channel for illustrative purposes. Preliminary analyses demonstrate potential in applying Schlieren photography in research.
In this paper, we will present a first attempt to classify commonly confused words in German by consulting their communicative functions in corpora. Although the use of so-called paronyms causes frequent uncertainties due to similarities in spelling, sound and semantics, up until now the phenomenon has attracted little attention either from the perspective of corpus linguistics or from cognitive linguistics. Existing investigations rely on structuralist models, which do not account for empirical evidence. Still, they have developed an elaborate model based on formal criteria, primarily on word formation (cf. Lăzărescu 1999). Looking from a corpus perspective, such classifications are incompatible with language in use and cognitive elements of misuse.
This article sketches first lexicological insights into a classification model as derived from semantic analyses of written communication. Firstly, a brief description of the project will be provided. Secondly, corpus-assisted paronym detection will be focused. Thirdly, in the main section the paper concerns the description of the datasets for paronym classification and the classification procedures. As a work in progress, new insights will continually be extended once spoken and CMC data are added to the investigations.
This paper investigates the conditions that govern the choice between the German neuter singular relative pronouns das ‘that’ and was ‘what’. We show that das requires a lexical head noun, while in all other cases was is usually the preferred option; therefore, the distribution of das and was is most successfully captured by an approach that does not treat was as an exception but analyzes it as the elsewhere case that applies when the relativizer fails to pick up a lexical gender feature from the head noun. We furthermore show how the non-uniform behavior of different types of nominalized adjectives (positives allow both options, while superlatives trigger was) can be attributed to semantic differences rooted in syntactic structure. In particular, we argue that superlatives select was due to the presence of a silent counterpart of the quantifier alles ‘all’ that is part of the superlative structure.
This paper presents the prototype of a lexicographic resource for spoken German in interaction, which was conceived within the framework of the LeGeDe-project (LeGeDe=Lexik des gesprochenen Deutsch). First of all, it summarizes the theoretical and methodological approaches that were used for the initial planning of the resource. The headword candidates were selected by analyzing corpus-based data. Therefore, the data of two corpora (written and spoken German) were compared with quantitative methods. The information that was gathered on the selected headword candidates can be assigned to two different sections: meanings and functions in interaction.
Additionally, two studies on the expectations of future users towards the resource were carried out. The results of these two studies were also taken into account in the development of the prototype. Focusing on the presentation of the resource’s content, the paper shows both the different lexicographical information in selected dictionary entries, and the information offered by the provided hyperlinks and external texts. As a conclusion, it summarizes the most important innovative aspects that were specifically developed for the implementation of such a resource.
In this paper, an exploratory data-driven method is presented that extracts word-types from diachronic corpora that have undergone the most pronounced change in frequency of occurrence in a given period of time. Combined with statistical methods from time series analysis, the method is able to find meaningful patterns and relationships in diachronic corpora, an idea that is still uncommon in linguistics. This indicates that the approach can facilitate an improved understanding of diachronic processes.
We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Expression and Target Extraction from Political Speeches (STEPS), the only existing German dataset for opinion role extraction of its size. Our analysis discusses the individual properties of the three components, subjective expressions, sources and targets and their relations towards each other. Our observations should help practitioners and researchers when building a system to extract opinion roles from German data.
This paper argues that there is a correlation between functional and purely grammatical patterning in language, yet the nature of this correlation has to be explored. This claim is based on the results of a corpus-driven study of the Slavic aspect, drawing on the socalled Distributional Hypothesis. According to the East-West Theory of the Slavic aspect, there is a broad east-west isogloss dividing the Slavic languages into an eastern group and a western group. There are also two transitional zones in the north and south, which share some properties with each group (Dickey 2000; Barentsen 1998, 2008). The East-West Theory uses concepts of cognitive grammar such as totality and temporal definiteness, and is based on various parameters of aspectual usage in discourse, including contexts such as habituals, general factuals, historical (narrative) present, performatives, sequenced events in the past etc. The purpose of the above-mentioned study is to challenge the semantic approach to the Slavic aspect by comparing the perfective and imperfective verbal aspect on the basis of purely grammatical co-occurrence patterns (see also Janda & Lyashevskaya 2011). The study focused on three Slavic languages: Russian, which, following the East-West Theory, belongs to the eastern group, Czech, which belongs to the western group, and Polish, which is considered as transitional in its aspectual patterning.
We present a testsuite for POS tagging German web data. Our testsuite provides the original raw text as well as the gold tokenisations and is annotated for parts-of-speech. The testsuite includes a new dataset for German tweets, with a current size of 3,940 tokens. To increase the size of the data, we harmonised the annotations in already existing web corpora, based on the Stuttgart-Tübingen Tag Set. The current version of the corpus has an overall size of 48,344 tokens of web data, around half of it from Twitter. We also present experiments, showing how different experimental setups (training set size, additional out-of-domain training data, self-training) influence the accuracy of the taggers. All resources and models will be made publicly available to the research community.
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written language by training a language model on more than 6500 different documents as represented in 41 multilingual text collections consisting of ~ 3.5 billion words or ~ 9.0 billion characters and covering 2069 different languages that are spoken as a native language by more than 90% of the world population. We statistically infer the entropy of each language model as an index of what we call average prediction complexity. We compare complexity rankings across corpora and show that a language that tends to be more complex than another language in one corpus also tends to be more complex in another corpus. In addition, we show that speaker population size predicts entropy. We argue that both results constitute evidence against the equi-complexity hypothesis from an information-theoretic perspective.
We present a new resource for German causal language, with annotations in context for verbs, nouns and adpositions. Our dataset includes 4,390 annotated instances for more than 150 different triggers. The annotation scheme distinguishes three different types of causal events (CONSEQUENCE, MOTIVATION, PURPOSE). We also provide annotations for semantic roles, i.e. of the cause and effect for the causal event as well as the actor and affected party, if present. In the paper, we present inter-annotator agreement scores for our dataset and discuss problems for annotating causal language. Finally, we present experiments where we frame causal annotation as a sequence labelling problem and report baseline results for the prediciton of causal arguments and for predicting different types of causation.
Classical null hypothesis significance tests are not appropriate in corpus linguistics, because the randomness assumption underlying these testing procedures is not fulfilled. Nevertheless, there are numerous scenarios where it would be beneficial to have some kind of test in order to judge the relevance of a result (e.g. a difference between two corpora) by answering the question whether the attribute of interest is pronounced enough to warrant the conclusion that it is substantial and not due to chance. In this paper, I outline such a test.
In a number of languages, agreement in specificational copular sentences can or must be with the second of the two nominals, even when it is the first that occupies the canonical subject position. Béjar & Kahnemuyipour (2017) show that Persian and Eastern Armenian are two such languages. They then argue that ‘NP2 agreement’ occurs because the nominal in subject position (NP1) is not accessible to an external probe. It follows that actual agreement with NP1 should never be possible: the alternative to NP2 agreement should be ‘default’ agreement. We show that this prediction is false. In addition to showing that English has NP1, not default, agreement, we present new data from Icelandic, a language with rich agreement morphology, including cases that involve ‘plurale tantum’ nominals as NP1. These allow us to control for any confound from the fact that typically in a specificational sentence with two nominals differing in number, it is NP2 that is plural. We show that even in this case, the alternative to agreement with NP2 is agreement with NP1, not a default. Hence, we conclude that whatever the correct analysis of specificational sentences turns out to be, it must not predict obligatory failure of NP1 agreement.
We present a study on gaps in spoken language interaction as a potential candidate for syntactic boundaries. On the basis of an online annotation experiment, we can show that there is an effect of gap duration and gap type on its likelihood of being a syntactic boundary. We discuss the potential of these findings for an automation of the segmentation process.
A Supervised learning approach for the extraction of opinion sources and targets from German text
(2019)
We present the first systematic supervised learning approach for the extraction of opinion sources and targets on German language data. A wide choice of different features is presented, particularly syntactic features and generalization features. We point out specific differences between opinion sources and targets. Moreover, we explain why implicit sources can be extracted even with fairly generic features. In order to ensure comparability our classifier is trained and tested on the dataset of the STEPS shared task.
We question the growing consensus in the literature that European Americans behave as a homogenous pan-ethnic coalition of voters. Seemingly below the radar of scholarship on voting groups in American politics, we identify a group of white voters that behaves differently from others: German Americans, the largest ethnic group, regionally concentrated in the ‘Swinging Midwest’. Using county level voting returns, ancestry group information from the American Community Survey (ACS), current survey data and historical census data going back as early as 1910, we provide evidence for a partisan and a non-partisan pathway that motivated German Americans to vote for Trump in 2016: a historically grown association with the Republican Party and an acquired taste for isolationist attitudes that mobilizes non-partisan German Americans to support isolationist candidates. Our findings indicate that European American experiences of migration and integration still echo into the political arena of today.
A syntax-based scheme for the annotation and segmentation of German spoken language interactions
(2018)
Unlike corpora of written language where segmentation can mainly be derived from orthographic punctuation marks, the basis for segmenting spoken language corpora is not predetermined by the primary data, but rather has to be established by the corpus compilers. This impedes consistent querying and visualization of such data. Several ways of segmenting have been proposed,
some of which are based on syntax. In this study, we developed and evaluated annotation and segmentation guidelines in reference to the topological field model for German. We can show that these guidelines are used consistently across annotators. We also investigated the influence of various interactional settings with a rather simple measure, the word-count per segment and unit-type. We observed that the word count and the distribution of each unit type differ in varying interactional settings and that our developed segmentation and annotation guidelines are used consistently across annotators. In conclusion, our syntax-based segmentations reflect interactional properties that are intrinsic to the social interactions that participants are involved in. This can be used for further analysis of social interaction and opens the possibility for automatic segmentation of transcripts.
Travel guides and travel reports constitute an important source for the generation and spread of popular geopolitical epistemes and assumptions. With regard to colonial attitudes and their possible perpetuation, it is therefore of great interest what kind of information such texts convey regarding (post)colonial places, and how they contextualize it. The paper compares descriptions of Qingdao (Tsingtau), a German colonized territory between 1897 and 1914, in travel guides and related material from colonial and postcolonial times and in different European languages. It investigates what differences can be found between these descriptions in relation to time, language, and medium (print or online) of publication. Of particular interest is the question whether, and in what ways, colonial perspectives are perpetuated in present-day (especially German) travel literature.
The Lehnwortportal Deutsch (2012 seqq.) serves as an integrated online information system on German lexical borrowings into other languages, synthesizing an increasing number of lexicographical dictionaries and providing basic cross-resource search options. The paper discusses the far-reaching revision of the system’s conceptual, lexicographical and technological underpinnings currently under way, focussing on their relevance for multilingual loanword lexicography.
In this paper we present an experimental semantic search function, based on word embeddings, for an integrated online information system on German lexical borrowings into other languages, the Lehnwortportal Deutsch (LWPD). The LWPD synthesizes an increasing number of lexicographical resources and provides basic cross-resource search options. Onomasiological access to the lexical units of the portal is a highly desirable feature for many research questions, such as the likelihood of borrowing lexical units with a given meaning (Haspelmath & Tadmor, 2009; Zeller, 2015). The search technology is based on multilingual pre-trained word embeddings, and individual word senses in the portal are associated with word vectors. Users may select one or more among a very large number of search terms, and the database returns lexical items with word sense vectors similar to these terms. We give a preliminary assessment of the feasibility, usability and efficacy of our approach, in particular in comparison to search options based on semantic domains or fields.
In this paper, we present an overview of freely available web applications providing online access to spoken language corpora. We explore and discuss various solutions with which the corpus providers and corpus platform developers address the needs of researchers who are working with spoken language. The paper aims to contribute to the long-overdue exchange and discussion of methods and best practices in the design of online access to spoken language corpora.
This paper addresses long-term archival for large corpora. Three aspects specific to language resources are focused, namely (1) the removal of resources for legal reasons, (2) versioning of (unchanged) objects in constantly growing resources, especially where objects can be part of multiple releases but also part of different collections, and (3) the conversion of data to new formats for digital preservation. It is motivated why language resources may have to be changed, and why formats may need to be converted. As a solution, the use of an intermediate proxy object called a signpost is suggested. The approach will be exemplified with respect to the corpora of the Leibniz Institute for the German Language in Mannheim, namely the German Reference Corpus (DeReKo) and the Archive for Spoken German (AGD).
Besides English, Afrikaans is considered “the [Germanic] language which deviates grammatically the farthest from the others” (Harbert 2007: 17). But how exactly do we measure “grammatical deviation”, and how deviant is Afrikaans really if we compare it not just to other standard languages but also to non-standard varieties? The present contribution aims to address those questions combining functional-typological and dialectometric perspectives. We first select data for 28 Germanic varieties showing vastly different speaker numbers, grades of standardisation and amounts of language contact. Based on 48 (micro)typological variables from syntax, morphology and phonology, we perform cluster analysis and multidimensional scaling and present ways of visualizing and interpreting the results. Inter alia, the analyses show a major divide between Continental West Germanic and North Germanic (as might be expected) and they also identify a number of outliers, including English and pidgin and creole languages such as Russenorsk or Rabaul Creole German. Afrikaans appears to cluster with the other West Germanic languages rather than the outliers. Within West Germanic, however, it does indeed emerge as rather deviant and, according to our metric, it is, for example, typologically closer to other high-contact varieties such as Yiddish than it is to Dutch.
In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/ cllt.2005.1.2.277. http://www.degruyter.com/view/j/cllt.2005.1.issue-2/cllt.2005. 1.2.277/cllt.2005.1.2.277.xml: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.
In the first volume of Corpus Linguistics and Linguistic Theory, Gries (2005. Null-hypothesis significance testing of word frequencies: A follow-up on Kilgarriff. Corpus Linguistics and Linguistic Theory 1(2). doi:10.1515/cllt.2005.1.2.277. http://www.degruyter.com/view//cllt.2005.1.issue-2/cllt.2005.1.2.277/cllt.2005.1.2.277.xml: 285) asked whether corpus linguists should abandon null-hypothesis significance testing. In this paper, I want to revive this discussion by defending the argument that the assumptions that allow inferences about a given population – in this case about the studied languages – based on results observed in a sample – in this case a collection of naturally occurring language data – are not fulfilled. As a consequence, corpus linguists should indeed abandon null-hypothesis significance testing.
Allusion
(2023)
Distributional models of word use constitute an indispensable tool in corpus based lexicological research for discovering paradigmatic relations and syntagmatic patterns (Belica et al. 2010). Recently, word embeddings (Mikolov et al. 2013) have revived the field by allowing to construct and analyze distributional models on very large corpora. This is accomplished by reducing the very high dimensionality of word cooccurrence contexts, the size of the vocabulary, to few dimensions, such as 100-200. However, word use and meaning can vary widely along dimensions such as domain, register, and time, and word embeddings tend to represent only the most prevalent meaning. In this paper we thus construct domain specific word embeddings to allow for systematically analyzing variations in word use. Moreover, we also demonstrate how to reconstruct domain specific co-occurrence contexts from the dense word embeddings.
The grammatical information system grammis combines descriptive texts on German grammar with dictionaries of specific word classes and grammatical terminology. In this paper, we describe the first attempts at analyzing user behavior for an online grammar of the German language and the implementation of an analysis and data extraction tool based on Matomo, a web analytics tool. We focus on the analysis of the keywords the users search for, either within grammis or via an external search platform like Google, and the analysis of the interaction between the text components within grammis and the integrated dictionaries. The overall results show that about 50% of the searches are for grammatical terms, and that the users shift from texts to dictionaries, mainly by using the integrated links to the dictionary of terminology within the texts. Based on these findings, we aim to improve grammis by extending its integrated dictionaries.
The workshop presents ATHEN 1 (Annotation and Text Highlighting Environment), an extensible desktop-based annotation environment which supports more than just regular annotation. Besides being a general purpose annotation environment, ATHEN supports indexing and querying support of your data as well as the ability to automatically preprocess your data with Meta information. It is especially suited for those who want to extend existing general purpose annotation tools by implementing their own custom features, which cannot be fulfilled by other available annotation environments. On the according gitlab, we provide online tutorials, which demonstrate the use of specific features of ATHEN
It is well known that the distribution of lexical and grammatical patterns is size- and register-sensitive (Biber 1986, and later publications). This fact alone presents a challenge to many corpus-oriented linguistic studies focusing on a single language. When it comes to cross-linguistic studies using corpora, the challenge becomes even greater due to the lack of high-quality multilingual corpora (Kupietz et al. 2020; Kupietz/Trawiński 2022), which are comparable with respect to the size and the register. That was the motivation for the creation of the European Reference Corpus EuReCo, an initiative started in 2013 at the Leibniz Institute for the German Language (IDS) together with several European partners (Kupietz et al. 2020). EuReCo is an emerging federated corpus, with large virtual comparable corpora across various languages and with an infrastructure supporting contrastive research. The core of the infrastructure is KorAP (Diewald et al. 2016), a scalable open-source platform supporting the analysis and visualisation of properties of texts annotated by multiple and potentially conflicting information layers, and supporting several corpus query languages. Until recently, EuReCo consisted of three monolingual subparts: the German Reference Corpus DeReKo (Kupietz et al. 2018), the Reference Corpus of Contemporary Romanian Language (Barbu Mititelu/Tufiş/Irimia 2018), and the Hungarian National Corpus (Váradi 2002). The goal of the present submission is twofold. On the one hand, it reports about the new component of EuReCo: a sample of the National Corpus of Polish (Przepiórkowski et al. 2010). On the other hand, it presents the results of a new pilot study using the newly extended EuReCo. This pilot study investigates selected Polish collocations involving light verbs and their prepositional / nominal complements (Fig. 1) and extends the collocation analyses of German, Romanian and Hungarian (Fig. 2) discussed in Kupietz/Trawiński (2022).
Repeating the movements associated with activities such as drawing or sports typically leads to improvements in kinematic behavior: these movements become faster, smoother, and exhibit less variation. Likewise, practice has also been shown to lead to faster and smoother movement trajectories in speech articulation. However, little is known about its effect on articulatory variability. To address this, we investigate the extent to which repetition and predictability influence the articulation of the frequent German word “sie” [zi] (they). We find that articulatory variability is proportional to speaking rate and the duration of [zi], and that overall variability decreases as [zi] is repeated during the experiment. Lower variability is also observed as the conditional probability of [zi] increases, and the greatest reduction in variability occurs during the execution of the vocalic target of [i]. These results indicate that practice can produce observable differences in the articulation of even the most common gestures used in speech.
This paper presents the results of a survey on dictionary use in Europe, the largest survey of dictionary use to date with nearly 10,000 participants in nearly thirty countries. The paper focuses on the comparison of the results of the Slovenian participants with the results of the participants from other European countries. The comparisons are made both with the European averages, and with the results from individual countries, in order to determine in which aspects Slovenian participants share similarities with other dictionary users (and non-users) around Europe, and in which aspects they differ. The findings show that in many ways the Slovenian users are similar to their European counterparts, with some noticeable exceptions, including (much) stronger preference for digital dictionaries over print ones, above-average reliance on other people when dictionary does not contain the relevant information, and the largest difference between the price of a dictionary and the amount willing to spend on it.
We use a convolutional neural network to perform authorship identification on a very homogeneous dataset of scientific publications. In order to investigate the effect of domain biases, we obscure words below a certain frequency threshold, retaining only their POS-tags. This procedure improves test performance due to better generalization on unseen data. Using our method, we are able to predict the authors of scientific publications in the same discipline at levels well above chance.
Alleviating pain is good and abandoning hope is bad. We instinctively understand how words like alleviate and abandon affect the polarity of a phrase, inverting or weakening it. When these words are content words, such as verbs, nouns, and adjectives, we refer to them as polarity shifters. Shifters are a frequent occurrence in human language and an important part of successfully modeling negation in sentiment analysis; yet research on negation modeling has focused almost exclusively on a small handful of closed-class negation words, such as not, no, and without. A major reason for this is that shifters are far more lexically diverse than negation words, but no resources exist to help identify them. We seek to remedy this lack of shifter resources by introducing a large lexicon of polarity shifters that covers English verbs, nouns, and adjectives. Creating the lexicon entirely by hand would be prohibitively expensive. Instead, we develop a bootstrapping approach that combines automatic classification with human verification to ensure the high quality of our lexicon while reducing annotation costs by over 70%. Our approach leverages a number of linguistic insights; while some features are based on textual patterns, others use semantic resources or syntactic relatedness. The created lexicon is evaluated both on a polarity shifter gold standard and on a polarity classification task.
This paper describes a rule-based approach to detect direct speech without the help of any quotation markers. As datasets fictional and non-fictional texts were used. Our evaluation shows that the results appear stable throughout different datasets in the fictional domain and are comparable to the results achieved in related work.
In this paper we use methods for creating a large lexicon of verbal polarity shifters and apply them to German. Polarity shifters are content words that can move the polarity of a phrase towards its opposite, such as the verb “abandon” in “abandon all hope”. This is similar to how negation words like “not” can influence polarity. Both shifters and negation are required for high precision sentiment analysis. Lists of negation words are available for many languages, but the only language for which a sizable lexicon of verbal polarity shifters exists is English. This lexicon was created by bootstrapping a sample of annotated verbs with a supervised classifier that uses a set of data- and resource-driven features. We reproduce and adapt this approach to create a German lexicon of verbal polarity shifters. Thereby, we confirm that the approach works for multiple languages. We further improve classification by leveraging cross-lingual information from the English shifter lexicon. Using this improved approach, we bootstrap a large number of German verbal polarity shifters, reducing the annotation effort drastically. The resulting German lexicon of verbal polarity shifters is made publicly available.
This study builds on a large body of work on the use of linguistic forms for requests in social interaction. Using Conversation Analysis / Interactional Linguistics, this study explores the use of two recurrent linguistic formats for requesting in spoken German – simple interrogatives ('do you do ..?') and kannst du VP? ('can you do..?') interrogatives. Based on a corpus of video-recorded, naturally occurring data of mundane data, this study demonstrates one of the interactional factors that is relevant for the choice between alternative interrogative request formats in spoken German – recipient's embodied availability before and during the request initiation. It is shown that simple interrogatives are used to request an action from a recipient who is either available or involved in their own project, which, however, does not have to be suspended or interrupted for the compliance with the request. In contrast, kannst du VP? interrogatives occur in environments in which the recipient is already engaged in a project that must be suspended in order to grant the request.
Germany’s diverse history in the 20th century raises the question of how social upheavals were constituted in and through political discourse. By analysing basic concepts, the research network “The 20th century in basic concepts” (based at the Leibniz institutes IDS, ZfL, ZZF) aims to identify continuities and discontinuities in political and social discourse. In this way, historical sediments of the present are to be uncovered and those challenges identified that emerged in the course of the 20th century and continue to shape political discourse until the present.
Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society
(2020)
This paper proposes, implements and evaluates a novel, corpus-based approach for identifying categories indicative of the impact of research via a deductive (top-down, from theory to data) and an inductive (bottom-up, from data to theory) approach. The resulting categorization schemes differ in substance. Research outcomes are typically assessed by using bibliometric methods, such as citation counts and patterns, or alternative metrics, such as references to research in the media. Shortcomings with these methods are their inability to identify impact of research beyond academia (bibliometrics) and considering text-based impact indicators beyond those that capture attention (altmetrics). We address these limitations by leveraging a mixed-methods approach for eliciting impact categories from experts, project personnel (deductive) and texts (inductive). Using these categories, we label a corpus of project reports per category schema, and apply supervised machine learning to infer these categories from project reports. The classification results show that we can predict deductively and inductively derived impact categories with 76.39% and 78.81% accuracy (F1-score), respectively. Our approach can complement solutions from bibliometrics and scientometrics for assessing the impact of research and studying the scope and types of advancements transferred from academia to society.
The present submission reports on a pilot project conducted at the Institute for the German Language (IDS), aiming at strengthening the connection between ISO TC37SC4 “Language Resource Management” and the CLARIN infrastructure. In terminology management, attempts have recently been made to use graph-theoretical analyses to get a better understanding of the structure of terminology resources. The project described here aims at applying some of these methods to potentially incomplete concept fields produced over years by numerous researchers serving as experts and editors of ISO standards. The main results of the project are twofold. On the one hand, they comprise concept networks dynamically generated from a relational database and browsable by the user. On the other, the project has yielded significant qualitative feedback that will be offered to ISO. We provide the institutional context of this endeavour, its theoretical background, and an overview of data preparation and tools used. Finally, we discuss the results and illustrate some of them.
German is a language with complex morphological processes. Its long and often ambiguous word forms present a bottleneck problem in natural language processing. As a step towards morphological analyses of high quality, this paper introduces a morphological treebank for German. It is derived from the linguistic database CELEX which is a standard resource for German morphology. We build on its refurbished, modernized and partially revised version. The derivation of the morphological trees is not trivial, especially for such cases of conversions which are morpho-semantically opaque and merely of diachronic interest. We develop solutions and present exemplary analyses. The resulting database comprises about 40,000 morphological trees of a German base vocabulary whose format and grade of detail can be chosen according to the requirements of the applications. The Perl scripts for the generation of the treebank are publicly available on github. In our discussion, we show some future directions for morphological treebanks. In particular, we aim at the combination with other reliable lexical resources such as GermaNet.
Canadian heritage German across three generations: A diary-based study of language shift in action
(2019)
It is well known that migration has an effect on language use and language choice. If the language of origin is maintained after migration, it tends to change in the new contact setting. Often, migrants shift to the new majority language within few generations. The current paper examines a diary corpus containing data from three generations of one German-Canadian family, ranging from 1867 to 1909, and covering the second to fourth generation after immigration. The paper analyzes changes that can be observed between the generations, with respect to the language system as well as to the individuals’ decision on language choice. The data not only offer insight into the dynamics of acquiring a written register of a heritage language, and the eventual shift to the majority language. They also allow us to identify different linguistic profiles of heritage speakers within one community. It is discussed how these profiles can be linked to the individuals’ family backgrounds and how the combination of these backgrounds may have contributed to giving up the heritage language in favor of the majority language.
This contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials.
This paper reports on an ongoing international project of compiling a freely accessible online Dictionary of German Loans in Polish Dialects. The dictionary will be the first comprehensive lexicographic compendium of its kind, serving as a complement to existing resources on German lexical loans in the literary or standard language. The empirical results obtained in the project will shed new light on the distribution of German loanwords among different dialects, also in comparison to the well-documented situation in written Polish. The dictionary will have a strong focus on the dialectal distribution of Polish dialectal variants for a given German etymon, accessible through interactive cartographic representations and corresponding search options. The editorial process is realized with dedicated collaborative web tools. The new resource will be published as an integrated part of an online information system for German lexical borrowings in other languages, the Lehnwortportal Deutsch, and is therefore highly cross-linked with other loanword dictionaries on Polish as well as Slavic and further European languages.
CLARIN contractual framework for sharing language data: the perspective of personal data protection
(2020)
The article analyses the responsibility for ensuring compliance with the General Data Protection Regulation (GDPR) in research settings. As a general rule, organisations are considered the data controller (responsible party for the GDPR compliance). Research constitutes a unique setting influenced by academic freedom. This raises the question of whether academics could be considered the controller as well. However, there are some court cases and policy documents on this issue. It is not settled yet. The analysis serves a preliminary analytical background for redesigning CLARIN contractual framework for sharing data.
We present web services which implement a workflow for transcripts of spoken language following the TEI guidelines, in particular ISO 24624:2016 “Language resource management – Transcription of spoken language”. The web services are available at our website and will be available via the CLARIN infrastructure, including the Virtual Language Observatory and WebLicht.
We present web services implementing a workflow for transcripts of spoken language following TEI guidelines, in particular ISO 24624:2016 "Language resource management - Transcription of spoken language". The web services are available at our website and will be available via the CLARIN infrastructure, including the Virtual Language Observatory and WebLicht.
This paper deals with different types of verbal complementation of the German verb verdienen. It focuses on constructions that have been undergoing a grammaticalization process and thus express deontic modality, as in Sie verdient geliebt zu werden (ʽShe deserves to be lovedʼ) and Sie verdient zu leben (ʽShe deserves to liveʼ) (Diewald, Dekalo & Czicza 2021). These constructions are connected to parallel complementation types with passive and active infinitives containing a correlate es, as in Sie verdient es, geliebt zu werden and Sie verdient es, zu leben, as well as finite clauses with the subordinator dass with and without correlative es, as in Sie verdient, dass sie geliebt wird and Sie verdient es, dass sie geliebt wird. This paper attempts to show a close comparative investigation of these six types of constructions based on their relevant semantic and syntactic properties in terms of clause linkage (Lehmann 1988). We analyze the relevant data retrieved from the DWDS corpus of the 20th century and present an expanded grammaticalization path for verdienen-constructions. The finite complementation with dass is regarded as an example of a separate structural option called “elaboration”. Concerning the use of correlative es, it is shown that it does not have any substantial effect on the grammaticalization of modal verdienen-constructions.
CMC Corpora in DeReKo
(2017)
We introduce three types of corpora of computer-mediated communication that have recently been compiled at the Institute for the German Language or curated from an external project and included in DeReKo, the German Reference Corpus, namely Wikipedia (discussion) corpora, the Usenet news corpus, and the Dortmund Chat Corpus. The data and corpora have been converted to I5, the TEI customization to represent texts in DeReKo, and are researchable via the web-based IDS corpus research interfaces and in the case of Wikipedia and chat also downloadable from the IDS repository and download server, respectively.
Since 2013 representatives of several French and German CMC corpus projects have developed three customizations of the TEI-P5 standard for text encoding in order to adapt the encoding schema and models provided by the TEI to the structural peculiarities of CMC discourse. Based on the three schema versions, a 4th version has been created which takes into account the experiences from encoding our corpora and which is specifically designed for the submission of a feature request to the TEI council. On our poster we would present the structure of this schema and its relations (commonalities and differences) to the previous schemas.
In this Paper, we describe a schema and models which have been developed for the representation of corpora of computer-mediated communicatin (CMC corpora) using the representation framework provided by the Text Encoding Initiative (TEI). We characterise CMC discourse as dialogic, sequentially organised interchange between humans and point out that many features of CMC are not adequately handled by current corpus encoding schemas and tools. We formulate desiderata for a representation of CMC in encoding schemes and argue why the TEI is a suitable framework for the encoding of CMC corpora. We propose a model of basic CMC units (utterances, posts, and nonverbal activities) and the macro- and micro-level structures of interactions in CMC environments. Based on these models, we introduce CMC-core, a TEI customisation for the encoding of CMC corpora, which defines CMC-specific encoding features on the four levels of elements, model classes, attribute classes, and modules of the TEI infrastructure. The description of our customisation is illustrated by encoding examples from corpora by researchers of the TEI SIG CMC, representing a variety of CMC genres, i.e. chat, wiki talk, twitter, blog, and Second Life interactions. The material described, i.e. schemata, encoding examples, and documentation, is available from the of the TEI CMC SIG Wiki and will accompany a feature request to the TEI council in late 2019.
CMDI Explorer
(2021)
We present CMDI Explorer, a tool that empowers users to easily explore the contents of complex CMDI records and to process selected parts of them with little effort. The tool allows users, for instance, to analyse virtual collections represented by CMDI records, and to send collection items to other CLARIN services such as the Switchboard for subsequent processing. CMDI Explorer hence adds functionality that many users felt was lacking from the CLARIN tool space.
This paper discusses changes of lexicographic traditions with respect to approaches to meaning descriptions towards more cognitive perspectives. I will uncover how cognitive aspects can be incorporated into meaning descriptions based on corpus-driven analysis. The new German Online dictionary “Paronyme − Dynamisch im Kontrast” (Storjohann 2014; 2016) is concerned with easily confused words such as effektiv/effizient, sensibel/sensitiv. It is currently in the process of being developed and it aims at adopting a more conceptual and encyclopaedic approach to meaning by incorporating cognitive features. As a corpus-guided reference work it strives to adequately reflect ideas such as conceptual structure, categorisation and knowledge. Contrastive entries emphasise aspects of usage, comparing conceptual categories and indicate the (metonymic) mapping of knowledge. Adaptable access to lexicographic details and variable search options offer different foci and perspectives on linguistic information, and authentic examples reflect prototypical structures. Some of the cognitive features are demonstrated with the help of examples. Firstly, I will outline how patterns of usage imply conceptual categories as central ideas instead of sufficiently logical criteria of semantic distinction. In this way, linguistic findings correlate better with how users conceptualise language. Secondly, it is pointed out how collocates are treated as family members and fillers in contexts. Thirdly, I will demonstrate how contextual structure and functions are included summarising referential information. Details are drawn from corpus data, they are usage-based linguistic patterns illustrating conversational interaction and semantic negotiations in contemporary public discourse. Finally, I will outline consultation routines which activate different facets of structural knowledge, e.g. through changes of the ordering of information or through the visualisation of semantic networks.
This paper discusses how cognitive aspects can be incorporated into lexicographic meaning descriptions based on corpus-driven analysis. The new German Online dictionary “Paronyme − Dynamisch im Kontrast” is concerned with easily confused words such as effektiv/effizient, sensibel/sensitiv. It is currently in the process of being developed and it aims at adopting a more conceptual and encyclopedic approach to meaning. Contrastive entries emphasize usage, comparing conceptual categories and indicating the mapping of knowledge. Adaptable access to lexicographic details offers different perspectives on information, and authentic examples reflect prototypical structures.
Some of the cognitive features are demonstrated with the help of examples. Firstly, I will outline how patterns of usage imply conceptual categories as central ideas instead of sufficiently logical criteria of semantic distinction. In this way, linguistic findings correlate better with how users conceptualize language. Secondly, it is pointed out how collocates are family members and fillers in contexts. Thirdly, I will demonstrate how contextual structure and function are included by summarizing referential information. Details are drawn from corpus data; they are usage-based patterns illustrating conversational interaction and semantic negotiation in contemporary public discourse. Finally, I will show flexible consultation routines where the focus on structural knowledge changes.
Collaborative work in NFDI
(2023)
The non-profit association National Research Data Infrastructure (NFDI) promotes science and research through a National Research Data Infrastructure. Its aim is to develop and establish an overarching research data management (RDM) for Germany and to increase the efficiency of the entire German science system. After a two-and-a-half year build up phase, the process of adding new consortia, each representing a different data domain, has ended in March 2023. NFDI now has 26 disciplinary consortia (and one additional basic service collaboration). Now the full extent of cross-consortial interaction is beginning to show.
Many studies on dictionary use presuppose that users do indeed consult lexicographic resources. However, little is known about what users actually do when they try to solve language problems on their own. We present an observation study where learners of German were allowed to browse the web freely while correcting erroneous German sentences. In this paper, we are focusing on the multi-methodological approach of the study, especially the interplay between quantitative and qualitative approaches. In one example study, we will show how the analysis of verbal protocols, the correction task and the screen recordings can reveal the effects of intuition, language (learning) awareness, and determination on the accuracy of the corrections. In another example study, we will show how preconceived hypotheses about the problem at hand might hinder participants from arriving at the correct solution.
This paper discusses changes in lexicographic traditions with respect to contrastive dictionary entries and dynamic, on-demand e-lexicographic descriptions. The new German online dictionary Paronyme - Dyna- misch im Kontrast is concerned with easily confused words (paronyms), such as effektivtefficient and sensibel/ sensitiv. New approaches to the empirical analysis and lexicographic presentation of words such as these are required, and this dictionary is committed to overcoming the discrepancy between traditional practice and insights from language use. As a corpus-guided reference work, it strives to adequately reflect not only authentic use in situations of actual communication, but also cognitive ideas such as conceptual structure, categorization and knowledge. Looking up easily confused lexical items requires contrastive entries where users can instantly compare meaning, contexts and reference. Adaptable access to lexicographic details and variable search options offer different foci and perspectives on linguistic information, and authentic examples reflect prototypical structures. These are essential in order to meet all the different interests of users. This paper will illustrate the contrastive structure of the new e-dictionary and demonstrate which information can be compared. It also focusses on various dynamic modes of dictionary consultation, which enable users to shift perspectives on paronyms accordingly.
Are borrowed neologisms accepted more slowly into the German language than German words resulting from the application of word formation rules? This study addresses this question by focusing on two possible indicators for the acceptance of neologisms: a) frequency development of 239 German neologisms from the 1990s (loanwords as well as new words resulting from the application of word formation rules) in the German reference corpus DeReKo and b) frequency development in the use of pragmatic markers (‘flags’, namely quotation marks and phrases such as sogenannt ‘so-called’) with these words. In the second part of the article, a psycholinguistic approach to evaluating the (psychological) status of different neologisms and non-words in an experimentally controlled study and plans to carry out interviews in a field test to collect speakers’ opinions on the acceptance of the analysed neologisms are outlined. Finally, implications for the lexicographic treatment of both types of neologisms are discussed.
Using video-recordings from one day of a theater project for young adults, this paper investigates how the meaning of novel verbal expressions is interactionally constituted and elaborated over the interactional history of a series of activities. We examine how the theater director introduces and instructs the group in the Chekhovian technique of acting, which is based on “imagining with the body,” and how the imaginary elements of the technique are “brought into existence” in the language of the instructions. By tracking shifts in the instructor’s use of the key expressions invisible/imaginary/inner body or movement through a series of exercises, we demonstrate how they are increasingly treated as real and perceivable bodily conduct. The analyses focus on the instructor’s attribution of factual and agentive properties to these expressions, and the changes that these properties undergo over the series of instructions. This case demonstrates the significance of longitudinal processes for the establishment of shared meaning in social interaction. The study thereby contributes to the field of interactional semantics and to longitudinal studies of social interaction.
When formulating a request for an object, speakers can choose among different grammatical resources that would all serve the overall purpose. This paper examines the social contexts indexed and created by the choice of the turn format can I have x to request a shared good (the pepper grinder, a tissue from a box on the table, etc.) in British English informal interaction. The analysis is based on a video corpus of approximately 25 h of everyday interaction among family and friends. In its home environment, a request in the format can I have x treats the other as being in control over the relevant material object, a control that is the contingent outcome of ongoing courses of action. This contingent control over a shared good produces an obligation to make it available. This analysis is supported by an examination of similarly formatted request turns in other languages, of can I have x in another interactional environment (after a relevant offer has been made) in British English, and of deviant cases. The results highlight the intimate connection of request format selection to the present engagements of (prospective) request recipients.
Contrasting and turn transition: Prosodic projection with the parallel-opposition constructions
(2009)
The parallel-opposition construction has not yet been widely described as an independent construction type. This article reports on its realization in everyday British-English conversation. In particular, it focusses on prosodic projection in the lexically and syntactically unmarked first component of this syntactic pattern, and thus adds to the body of research investigating the organization of turn-taking in the context of bi-clausal constructions with which the first part lacks explicit lexical hints to their continuation. It is shown that the parallel-opposition construction, next to specific semantic–pragmatic, syntactic and lexical features, also exhibits a relatively fixed range of prosodic features in the first conjunct, among these narrow focus, continuing intonation and/or the avoidance of intonation-unit boundary signals. These are used to project continuation of an otherwise complete utterance and, thus, to secure the floor for the expression of contrast. In addition, the detailed analysis of apparently deviant cases, which takes into account the on-line production of syntax, shows that a lack of prosodically projective features in the first component of the parallel-opposition construction can be explained by the strategic, retrospective use of the construction to resolve problems in turn transition.
Contrastive analysis of climate-related neologisms registered in GermanN and French Wikipedia
(2023)
Neologisms represent new social norms, tendencies, controversies and attitudes. They denote new or changed concepts which are constantly being negotiated between different members of the discourse community (Wodak 2022 and Catalano/Waugh (eds.) 2020). Neologisms help to identify new communicative patterns and narratives which illustrate different strings of discourse in everyday life. In recent years, many neologisms relating to the subject of the environment and climate have been emerging around the world mainly due to dominant discussions on climate change and the movement “Fridays for Future”. In German, for example, neologisms such as Klimakleber, klimaresilient and globaler Streik and in French neologisms such as éco-anxiété, justice climatique and écocitoyen could be observed. These neologisms occur in many domains of life, for example in politics, media and also in advertising, which means that “l’importance croissante des enjeux environnementaux dans les discours politiques, médiatiques et publicitaires” (Balnat/Gérard 2022, p. 22) can be identified. However, it is not only the occurrence of environment- or climate-related topics that is increasing, but also the rising polarisation of the public debate. The polarisation within public discourse is based on the fact that there are opposing positions which are represented by new or recently relevant terms such as activistes du climat (or Klimaaktivisten) and climatosceptiques (or Klimaskeptiker) (Balnat/Gérard 2022, p. 22). Due to different identifications with one or the other side, one can also speak of an “affrontement idéologique” (Balnat/Gérard 2022, p. 23). 1 The explosive nature and the high complexity of the debate on climate and the environmental issues mean that many words are naturally unfamiliar to people. This is especially true with regard to neologisms. In addition, it is often not only the new word itself but also the signified concept that is initially unknown. When people then look up words, they often do so on the Internet. Wikipedia as a “free encyclopedia” (Wikipedia 2023) is particularly well suited as an object of study with regard to neologisms, since factual knowledge is given special attention there. Furthermore, this reference guide is perceived as a regular source of agreed and common knowledge on all sorts of subjects. Hence, the descriptions found here represent social agreement on controversial terms and discussions to some degree. In this paper, German and French neologisms from the subject area of climate and environment will be examined primarily in Wikipedia, but also in the neighbouring resource Wiktionary,2 which is “a collaborative project to produce a free-content multilingual dictionary” (Wiktionary 2023). Since Wikipedia and Wiktionary are available in French and in German, 21010. International Contrastive Linguistics Conference (ICLC) both are equally suitable for the contrastive analysis. Thus, Wikipedia articles which are accessible in both languages (e.g. Klimanotstand and État d›urgence climatique) or Wikipedia articles about similar events and phenomena (e.g. Letzte Generation and Dernière Rénovation) will be compared. For example, we will have a closer look at other new terms specifying different thematic aspects of the discourse of climate and environment. We will mainly refer to those lexical items which can be found in the respective articles in both languages. Special emphasis will be on overlaps and differences, thematic foci, speaker’s positions and evaluative terms.
This introduction summarizes general issues combining lexicography and neology in the context of the Globalex Workshop on Lexicography and Neology series. We present each of the six papers composing this Special Issue, featuring two Slavic languages (Czech and Slovak) and two Romance ones (Brazilian Portuguese and Spanish in its European and Latin American varieties) and their diverse lexicographic research and representation, in specialized dictionaries of neologisms or general language ones, in monolingual, bilingual and multilingual lexical resources, and in print and digital dictionaries.
We present an approach to making existing CLARIN web services usable for spoken language transcriptions. Our approach is based on a new TEI-based ISO standard for such transcriptions. We show how existing tool formats can be transformed to this standard, how an encoder/decoder pair for the TCF format enables users to feed this type of data through a WebLicht tool chain, and why and how web services operating directly on the standard format would be useful.
Telephone-based remote interpreting has come into widespread use in multilingual encounters, all the more so in times of refugee crises and the large influx of asylum-seekers into Europe. Nevertheless, the linguistic practices in this mode of communication have not yet been examined comprehensively. This article therefore investigates selected aspects of turn-taking and clarification sequences during semi-authentic telephone-interpreted counselling sessions for refugees (Arabic–German). A quantitative analysis reveals that limited audibility makes it more difficult for interpreters to claim their turn successfully; in most cases, however, turn-taking occurs smoothly. The trouble sources that trigger queries are mainly content-related and interpreters vary greatly in the ways they deal with such difficulties. Contrary to what one might expect, the study shows that coordination fails only rarely during telephone-based remote interpreting.
Our paper examines how bodily behavior contributes to the local meaning of OKAY. We explore the interplay between OKAY as response to informings and narratives and accompanying multimodal resources in German multi-party interaction. Based on informal and institutional conversations, we describe three different uses of OKAY with falling intonation and the recurrent multimodal patterns that are associated with them and that can be characterized as ‘multimodal gestalts’. We show that: 1. OKAY as a claim to sufficient understanding is typically accompanied by upward nodding; 2. OKAY after change-of-state tokens exhibits a recurrent pattern of up- and downward nodding with distinctive timing; and 3. OKAY closing larger activities is associated with gaze-aversion from the prior speaker.
In my talk, I present an empirical approach to detecting and describing proverbs as frozen sentences with specific functions in current language use. We have developed this approach in the EU project ‘SprichWort’ (based on the German Reference Corpus). The first chapter illustrates selected aspects of our complex, iterative procedure to validate proverb candidates. Based on our corpus-driven lexpan methodology of slot analysis I then discuss semantic restrictions of proverb patterns. Furthermore, I show different degrees of proverb quality ranging from genuine proverbs to non-proverb realizations of the same abstract pattern. On the one hand, the corpus validation reveals that proverbs are definitely perceived and used as relatively fixed entities and often as sentences. On the other hand, proverbs are not only interpreted as an interesting unique phenomenon but also as part of the whole lexicon, embedded in networks of different lexical items.
The present paper outlines the projected second part of the Corpus Query Lingua Franca (CQLF) family of standards: CQLF Ontology, which is currently in the process of standardization at the International Standards Organization (ISO), in its Technical Committee 37, Subcommittee 4 (TC37SC4) and its national mirrors. The first part of the family, ISO 24623-1 (henceforth CQLF Metamodel), was successfully adopted as an international standard at the beginning of 2018. The present paper reflects the state of the CQLF Ontology at the moment of submission for the Committee Draft ballot. We provide a brief overview of the CQLF Metamodel, present the assumptions and aims of the CQLF Ontology, its basic structure, and its potential extended applications. The full ontology is expected to emerge from a community process, starting from an initial version created by the authors of the present paper.
Corpus REDEWIEDERGABE
(2020)
This article presents the corpus REDEWIEDERGABE, a German-language historical corpus with detailed annotations for speech, thought and writing representation (ST&WR). With approximately 490,000 tokens, it is the largest resource of its kind. It can be used to answer literary and linguistic research questions and serve as training material for machine learning. This paper describes the composition of the corpus and the annotation structure, discusses some methodological decisions and gives basic statistics about the forms of ST&WR found in this corpus.
In the past two decades, more and more dictionary usage studies have been published, but most of them deal with questions related to what users appreciate about dictionaries, which dictionaries they use and what type of information they need in specific situations — presupposing that users actually consult lexicographic resources. However, language teachers and lecturers in linguistics often have the impression that students do not use enough high-quality dictionaries in their everyday work. With this in mind, we launched an international cooperation project to collect empirical data to evaluate what it is that students actually do while attempting to solve language problems. To this end, we applied a new methodological setting: screen recording in conjunction with a thinking-aloud task. The collected empirical data offers a broad insight into what users really do while they attempt to solve language-related tasks online.
We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo. For collocation analysis along the syntagmatic axis we employ traditional association measures based on co-occurrence counts as well as predictive association measures derived from the output weights of skipgram word embeddings. For inspecting the semantic neighbourhood of words along the paradigmatic axis we visualize the high dimensional word embeddings in two dimensions using t-stochastic neighbourhood embeddings. Together, these visualizations provide a complementary, explorative approach to analysing very large corpora in addition to corpus querying. Moreover, we discuss count-based and predictive models w.r.t. scalability and maintainability in very large corpora.
The annual microcensus provides Germany’s most important official statistics. Unlike a census it does not cover the whole population, but a representative 1%-sample of it. In 2017, the German microcensus asked a question on the language of the population, i.e. ‘Which language is mainly spoken in your household?’ Unfortunately, the question, its design and its position within the whole microcensus’ questionnaire feature several shortcomings. The main shortcoming is that multilingual repertoires cannot be captured by it. Recommendations for the improvement of the microcensus’ language question: first and foremost the question (i.e. its wording, design, and answer options) should make it possible to count multilingual repertoires.
Except for some recent advances in spoken language lexicography (cf. Verdonik & Sepesy Maučec 2017, Hansen & Hansen 2012, Siepmann 2015), traditional lexicographic work is mainly oriented towards the written language. In this paper, we describe a method we used to identify relevant headword candidates for a lexicographic resource for spoken language that is currently being developed at the Institute for the German Language (IDS, Mannheim). We describe the challenges of the headword selection for a dictionary of spoken language, and having made considerations regarding our headword concept, we present the corpus-based procedures that we used in order to facilitate the headword selection. After presenting the results regarding the selection of one-word lemmas, we discuss the opportunities and limitations of our approach.
The recognizability of a stretch of conduct as social action depends on details of turn construction as well as the turn’s context. We examine details of turn construction as they enter into actions offering interpretations of prior talk. Such actions either initiate repair or formulate a conclusion from prior talk. We focus on how interpretation markers (das heißt [“that means”] vs. du meinst [“you mean”]) and interpretation formats (phrasal vs. clausal turn completions) each make their invariant contribution to specific interpreting practices. Interpretation marker and turn format go hand in hand, which leads to distinct patterns of interpreting practices: Das heißt+clause is especially apt for formulations, du meinst+phrase for repair. The results suggest that details of turn construction can systematically enter into the constitution of social action. Data are in German with English translation.
In this chapter, we overview the specificity of comparisons made within the perspective of Conversation Analysis (CA), and we position them in relation to other fields. We introduce the analytical mentality, methodology, and procedures of CA, and we show how we used it for the analysis of OKAY in this volume.
"Reproducibility crisis" and "empirical turn" are only two keywords when it comes to providing reasons for research data management. Research data is omnipresent and with the more and more automatic data processing procedures, they become even more important. However, just because new methods require data and produce data, this does not mean that data are easily accessible, reusable or even make a difference in the CV of a researcher, even if a large portion of research goes into data creation, acquisition, preparation, and analysis. In this talk I will present where we find data in the research process, where we may find appropriate support for data management and advocate for a procedure for including it in research publications and resumes.
This presentation relies on work within the BMBF-funded project CLARIN-D. It also builds on work within the German National Research Data Infrastructure (NFDI) consortium Text+, DFG project number 460033370.
In the NLP literature, adapting a parser to new text with properties different from the training data is commonly referred to as domain adaptation. In practice, however, the differences between texts from different sources often reflect a mixture of domain and genre properties, and it is by no means clear what impact each of those has on statistical parsing. In this paper, we investigate how differences between articles in a newspaper corpus relate to the concepts of genre and domain and how they influence parsing performance of a transition-based dependency parser. We do this by applying various similarity measures for data point selection and testing their adequacy for creating genre-aware parsing models.
We present a method to identify and document a phenomenon on which there is very little empirical data: German phrasal compounds occurring in the form of as a single token (without punctuation between their components). Relying on linguistic criteria, our approach implies to have an operational notion of compounds which can be systematically applied as well as (web) corpora which are large and diverse enough to contain rarely seen phenomena. The method is based on word segmentation and morphological analysis, it takes advantage of a data-driven learning process. Our results show that coarse-grained identification of phrasal compounds is best performed with empirical data, whereas fine-grained detection could be improved with a combination of rule-based and frequency-based word lists. Along with the characteristics of web texts, the orthographic realizations seem to be linked to the degree of expressivity.
The automatic recognition of idioms poses a challenging problem for NLP applications. Whereas native speakers can intuitively handle multiword expressions whose compositional meanings are hard to trace back to individual word semantics, there is still ample scope for improvement regarding computational approaches. We assume that idiomatic constructions can be characterized by gradual intensities of semantic non-compositionality, formal fixedness, and unusual usage context, and introduce a number of measures for these characteristics, comprising count-based and predictive collocation measures together with measures of context (un)similarity. We evaluate our approach on a manually labelled gold standard, derived from a corpus of German pop lyrics. To this end, we apply a Random Forest classifier to analyze the individual contribution of features for automatically detecting idioms, and study the trade-off between recall and precision. Finally, we evaluate the classifier on an independent dataset of idioms extracted from a list of Wikipedia idioms, achieving state-of-the art accuracy.
We discuss the modal uses of the Hausa exclusive particle sai (≈ only). We argue that the distribution of sai in modal environments provides evidence for the following claims on the composition of modal meaning that have been independently made in the literature: i) Future-oriented modality involves a prospective aspect operator that can be realized covertly in some languages (e.g. English, Kratzer 2012b) and overtly in others (e.g. Gitksan, Matthewson 2012, 2013). ii) Necessity interpretations arise from exhaustifying possibilities, i.e. an exhaustivity operator applying to existential modality (e.g. Kaufmann 2012 for the case of imperatives and Leffel 2012 for a relevant analysis of necessity meaning in Masalit). We show that future-oriented necessity in Hausa decomposes into EXH((PROSP)), with sai contributing exhaustivity.
In this paper, we present our work-inprogress to automatically identify free indirect representation (FI), a type of thought representation used in literary texts. With a deep learning approach using contextual string embeddings, we achieve f1 scores between 0.45 and 0.5 (sentence-based evaluation for the FI category) on two very different German corpora, a clear improvement on earlier attempts for this task. We show how consistently marked direct speech can help in this task. In our evaluation, we also consider human inter-annotator scores and thus address measures of certainty for this difficult phenomenon.
This article examines a recurrent format that speakers use for defining ordinary expressions or technical terms. Drawing on data from four different languages - Flemish, French, German, and Italian - it focuses on definitions in which a definiendum is first followed by a negative definitional component (‘definiendum is not X’), and then by a positive definitional component (‘definiendum is Y’). The analysis shows that by employing this format, speakers display sensitivity towards a potential meaning of the definiendum that recipients could have taken to be valid. By negating this meaning, speakers discard this possible, yet unintended understanding. The format serves three distinct interactional purposes: (a) it is used for argumentation, e.g. in discussions and political debates, (b) it works as a resource for imparting knowledge, e.g. in expert talk and instructions, and (c) it is employed, in ordinary conversation, for securing the addressee's correct understanding of a possibly problematic expression. The findings contribute to our understanding of how epistemic claims and displays relate to the turn-constructional and sequential organization of talk. They also show that the much quoted ‘problem of meaning’ is, first and foremost, a participant's problem.
We introduce a method for error detection in automatically annotated text, aimed at supporting the creation of high-quality language resources at affordable cost. Our method combines an unsupervised generative model with human supervision from active learning. We test our approach on in-domain and out-of-domain data in two languages, in AL simulations and in a real world setting. For all settings, the results show that our method is able to detect annotation errors with high precision and high recall.
We examine the new task of detecting derogatory compounds (e.g. curry muncher). Derogatory compounds are much more difficult to detect than derogatory unigrams (e.g. idiot) since they are more sparsely represented in lexical resources previously found effective for this task (e.g. Wiktionary). We propose an unsupervised classification approach that incorporates linguistic properties of compounds. It mostly depends on a simple distributional representation. We compare our approach against previously established methods proposed for extracting derogatory unigrams.
Automatic division of spoken language transcripts into sentence-like units is a challenging problem, caused by disfluencies, ungrammatical structures and the lack of punctuation. We present experiments on dividing up German spoken dialogues where we investigate the impact of task setup and data representation, encoding of context information as well as different model architectures for this task.
We discuss the impact of data bias on abusive language detection. We show that classification scores on popular datasets reported in previous work are much lower under realistic settings in which this bias is reduced. Such biases are most notably observed on datasets that are created by focused sampling instead of random sampling. Datasets with a higher proportion of implicit abuse are more affected than datasets with a lower proportion.
Digital humanities research under United States and European copyright laws. Evolving frameworks
(2021)
This chapter summarizes the current state of copyright laws in the United States and European Union that most affect Digital Humanities research, namely the fair use doctrine in the US and research exceptions in Europe, including the Directive on Copyright in the Digital Single Market, which has been finally adopted in 2019. This summary begins with a description of recent copyright advances most relevant to DH research, and finishes with an analysis of a significant remaining legal hurdle which DH researchers face: how do fair use and research exceptions deal with the critical issue of circumventing technological protection measures (TPM, a.k.a. DRM). Our discussion of the lawful means of obtaining TPM-protected material may contribute to both current DH research and planning decisions and inform future stakeholders and lawmakers of the need to allow TPM circumvention for academic research.
A constructicon, i.e., a structured inventory of constructions, essentially aims at documenting functions of lexical and grammatical constructions. Among other parameters, so-called constructional collo-profiles, as introduced by Herbst (2018, 2020), are conclusive for determining constructional meanings. They provide information on how relevant individual words are for construction slots, they hint at usage preferences of constructions and serve as a helpful indicator for semantic peculiarities of constructions. However, even though collo-profiles constitute an indispensable component of constructicon entries, they pose major challengers for constructicographers: For a constructicographic enterprise it is not feasible to conduct collostructional analyses for hundreds or even thousands of constructions. In this article, we introduce a procedure based on the large language model BERT that allows to predict collo-profiles without having to extensively annotate instances of constructions in a given corpus. Specifically, by discussing the constructions X macht Y ADJP (‘x makes Y ADJ’, e.g. he drives him crazy) and N1 PREP N1 (e.g., bumper to bumper, constructions over constructions), we show how the developed automated system generates collo-profiles based on a limited number of annotated instances. Finally, we place collo-profiles alongside other dimensions of constructional meanings included in the German Constructicon.
We present evidence for the analysis of the vowels in English <say> and <so> as biphonemic diphthongs /ɛi/ and /əu/, based on neutralization patterns, regular alternations, and foot structure. /ɛi/ and /əu/ are hence structurally on a par with the so called “true diphthongs” /ɑi/, /ɐu/, /ɔi/, but also share prosodic organization with the monophthongs /i/ and /u/. The phonological evidence is supported by dynamic measurements based on the American English TIMIT database.
Calculations of F2-slopes proved to be especially suited to distinguish the relevant groups in accordance with their phonologically motivated prosodic organizations.
Directing, negotiating and planning: 'Aus Spiel' ('for play') in children's pretend joint play
(2021)
We are interested in how children organize joint pretend play. In this kind of play, children create an invented world by transforming matters of the real world into matters of a fictional world (e.g., pretending to be a 'giant' or treating a particular spatial area as a 'witch's kitchen'). Since there are no rules and no script, every next step in the game is an improvisation designed here and now. Children engaged in free play have equal rights to determine what should happen next. For that reason, they have to negotiate next steps. We are interested in a particular expression that children often use in joint play: aus Spaß/Spiel ('for fun' or 'for play', similar to 'let's pretend'). Based on a corpus of five hours of video recordings of two pairs of twins (the younger children are between 3 and 5 years old, the older ones are 8 years old), we show that children regularly use aus Spiel while playing as a method for shaping the activity. Inventing new events, children try to get their co-players to accept them and act accordingly. In that context, issues of (dis-)alignment and deontic rights become relevant. Here, we are interested in the interactional work that aus Spiel-('let's pretend')-turns do and how co-players respond.
Negation is an important contextual phenomenon that needs to be addressed in sentiment analysis. Next to common negation function words, such as not or none, there is also a considerably large class of negation content words, also referred to as shifters, such as the verbs diminish, reduce or reverse. However, many of these shifters are ambiguous. For instance, spoil as in spoil your chance reverses the polarity of the positive polar expression chance while in spoil your loved ones, no negation takes place. We present a supervised learning approach to disambiguating verbal shifters. Our approach takes into consideration various features, particularly generalization features.
Using multimodal conversation analysis, we investigate how novices learning the “inner body” acting technique in the context of a community theater project share their experiences of the bodily exercises through verbal and embodied conduct. We focus on how verbal description and bodily enactment of the experience mutually elaborate each other, and how the experienced sensorimotor and affective qualities are made to be witnessed and recognized by the others. Participants describe their experiences without naming qualities. Instead, a display of the experienced qualities is made accessible to others through coordinating the unfolding talk and bodily conduct. In particular, we show how grammatical and action projection is fulfilled by interconnected verbal and embodied conduct, with body movement and posture giving off ineffable experiential qualities. The moving body appears both as a source of the experience and as a resource for depicting perceived qualities to others; additional resources (non-specific person reference and gaze aversion) contribute to organizing the subjective and intersubjective layers of the reflection of the experiences. The study contributes to and extends recent research on sensoriality in interaction by focusing on phenomena of proprioception and interoception. The data are two cases drawn from 60 h of video-recordings made in the context of a devised community theater project. The data are in Finnish with English translations.
We study German affixoids, a type of morpheme in between affixes and free stems. Several properties have been associated with them – increased productivity; a bleached semantics, which is often evaluative and/or intensifying and thus of relevance to sentiment analysis; and the existence of a free morpheme counterpart – but not been validated empirically. In experiments on a new data set that we make available, we put these key assumptions from the morphological literature to the test and show that despite the fact that affixoids generate many low-frequency formations, we can classify these as affixoid or non-affixoid instances with a best F1-score of 74%.