Refine
Year of publication
Document Type
- Part of a Book (249)
- Article (200)
- Conference Proceeding (150)
- Book (39)
- Other (11)
- Working Paper (11)
- Part of Periodical (10)
- Preprint (10)
- Doctoral Thesis (2)
- Course Material (1)
Language
- English (686) (remove)
Is part of the Bibliography
- yes (686) (remove)
Keywords
- Korpus <Linguistik> (203)
- Deutsch (184)
- Interaktion (74)
- Konversationsanalyse (69)
- Gesprochene Sprache (52)
- Computerlinguistik (43)
- Forschungsdaten (40)
- Annotation (38)
- Englisch (34)
- Wörterbuch (34)
Publicationstate
- Veröffentlichungsversion (401)
- Zweitveröffentlichung (136)
- Postprint (88)
- Ahead of Print (5)
- Preprint (3)
- Erstveröffentlichung (1)
Reviewstate
- Peer-Review (431)
- (Verlags)-Lektorat (106)
- Peer-review (10)
- Peer-Revied (5)
- Verlags-Lektorat (5)
- Qualifikationsarbeit (Dissertation, Habilitationsschrift) (2)
- (Verlags-)Lektorat (1)
- (Verlags-)lektorat (1)
- Abschlussarbeit (Bachelor, Master, Diplom, Magister) (Bachelor, Master, Diss.) (1)
- Peer review (1)
Publisher
"What makes this so complicated?" On the value of disorienting dilemmas in language instruction
(2017)
This thesis is a corpus linguistic investigation of the language used by young German speakers online, examining lexical, morphological, orthographic, and syntactic features and changes in language use over time. The study analyses the language in the Nottinghamer Korpus deutscher YouTube‐Sprache ("Nottingham corpus of German YouTube language", or NottDeuYTSch corpus), one of the first large corpora of German‐language comments taken from the videosharing website YouTube, and built specifically for this project. The metadatarich corpus comprises c.33 million tokens from more than 3 million comments posted underneath videos uploaded by mainstream German‐language youthorientated YouTube channels from 2008‐2018.
The NottDeuYTSch corpus was created to enable corpus linguistic approaches to studying digital German youth language (Jugendsprache), having identified the need for more specialised web corpora (see Barbaresi 2019). The methodology for compiling the corpus is described in detail in the thesis to facilitate future construction of web corpora. The thesis is situated at the intersection of Computer‐Mediated Communication (CMC) and youth language, which have been important areas of sociolinguistic scholarship since the 1980s, and explores what we can learn from a corpus‐driven, longitudinal approach to (online) youth language. To do so, the thesis uses corpus linguistic methods to analyse three main areas:
1. Lexical trends and the morphology of polysemous lexical items. For this purpose, the analysis focuses on geil, one of the most iconic and productive words in youth language, and presents a longitudinal analysis, demonstrating that usage of geil has decreased, and identifies lexical items that have emerged as potential replacements. Additionally, geil is used to analyse innovative morphological productiveness, demonstrating how different senses of geil are used as a base lexeme or affixoid in compounding and derivation.
2. Syntactic developments. The novel grammaticalization of several subordinating conjunctions into both coordinating conjunctions and discourse markers is examined. The investigation is supported by statistical analyses that demonstrate an increase in the use of non‐standard syntax over the timeframe of the corpus and compares the results with other corpora of written language.
3. Orthography and the metacommunicative features of digital writing. This analysis identifies orthographic features and strategies in the corpus, e.g. the repetition of certain emoji, and develops a holistic framework to study metacommunicative functions, such as the communication of illocutionary force, information structure, or the expression of identities. The framework unifies previous research that had focused on individual features, integrating a wide range of metacommunicative strategies within a single, robust system of analysis.
By using qualitative and computational analytical frameworks within corpus linguistic methods, the thesis identifies emergent linguistic features in digital youth language in German and sheds further light on lexical and morphosyntactic changes and trends in the language of young people over the period 2008‐2018. The study has also further developed and augmented existing analytical frameworks to widen the scope of their application to orthographic features associated with digital writing.
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.
A "polyglottal" speech synthesis - modifications for a replica of Kempelen's speaking machine
(2019)
In the management of cooperation, the fit of a requested action with what the addressee is presently doing is a pervasively relevant consideration. We present evidence that imperative turns are adapted to, and reflexively create, contexts in which the other person is committed to the course of action advanced by the imperative. This evidence comes from systematic variation in the design of imperative turns, relative to the fittedness of the imperatively mandated action to the addressee’s ongoing trajectory of actions, what we call the “dine of commitment”. We present four points on this dine: Responsive imperatives perform an operation on the deontic dimension of what the addressee has announced or already begun to do (in particular its permissibility); local-project imperatives formulate a new action advancing a course of action in which the addressee is already actively engaged; global-project-imperatives target a next task for which the addressee is available on the grounds of their participation in the overall event, and in the absence of any competing work; and competitive imperatives draw on a presently otherwise engaged addressee on the grounds of their social commitment to the relevant course of actions. These four turn shapes are increasingly complex, reflecting the interactional work required to bridge the increasing distance between what the addressee is currently doing, and what the imperative mandates. We present data from German and Polish informal and institutional settings.
This manual introduces a conversation analytically informed coding scheme for episodes involving the direct social sanctioning of problem behavior in informal social interaction which was developed in the project Norms, Rules, and Morality across Languages (NoRM-aL) at the Leibniz-Institute for the German Language. It outlines the background for its development, delimits the phenomena to which the coding scheme can be applied and provides instructions for its use.
The scheme asks for basic information about the recording and the participants involved in the episode, before taking stock of different features of the sanctioning episode as a whole. This is followed by sets of specific coding questions about the sanctioning move itself (such as its timing and composition) and the reaction it engenders. The coding enables researchers to get a bird’s eye view on recurrent features of such episodes in larger quantities of data and allows for comparisons across different languages and informal settings.
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 a short insight into a new project at the "Institute for the German Language” (IDS) (Mannheim). It gives an insight into some basic ideas for a corpus-based dictionary of spoken German, which will be developed and compiled by the new project "The Lexicon of spoken German” (Lexik des gesprochenen Deutsch, LeGeDe). The work is based on the "Research and Teaching Corpus of Spoken German” (Forschungs- und Lehrkorpus Gesprochenes Deutsch, FOLK), which is implemented in the "Database for Spoken German” (Datenbank für Gesprochenes Deutsch, DGD). Both resources, the database and the corpus, have been developed at the IDS.
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 discusses a specific subclass of English it-clefts posited in the theoretical literature, so-called predicational clefts. The main point of the paper is to show that there is no need to postulate such a separate class. Predicational clefts look special because of the narrow focus on the adjective within an indefinite pivot, but their special properties can all be derived from this narrow focus in a focus analysis in which it-clefts express contrasting focus. Contrasting focus means that besides the assertion of the proposition expressed in the cleft, there is one contrasting proposition which is excluded. The focus on the adjective in apparent predicational clefts gives rise to a narrow set of relevant alternatives, all of which differ only in the adjectival property within the pivot. The analysis developed here can account for many of the observations for apparent predicational clefts. Other properties are shown to be not conclusive. Thus, predicational clefts need not be considered a special subclass beyond their special focus characteristics.
In this paper, a method for measuring synchronic corpus (dis-)similarity put forward by Kilgarriff (2001) is adapted and extended to identify trends and correlated changes in diachronic text data, using the Corpus of Historical American English (Davies 2010a) and the Google Ngram Corpora (Michel et al. 2010a). This paper shows that this fully data-driven method, which extracts word types that have undergone the most pronounced change in frequency in a given period of time, is computationally very cheap and that it allows interpretations of diachronic trends that are both intuitively plausible and motivated from the perspective of information theory. Furthermore, it demonstrates that the method is able to identify correlated linguistic changes and diachronic shifts that can be linked to historical events. Finally, it can help to improve diachronic POS tagging and complement existing NLP approaches. This indicates that the approach can facilitate an improved understanding of diachronic processes in language change.
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.
We present an approach to an aspect of managing complex access scenarios to large and heterogeneous corpora that involves handling user queries that, intentionally or due to the complexity of the queried resource, target texts or annotations outside of the given user’s permissions. We first outline the overall architecture of the corpus analysis platform KorAP, devoting some attention to the way in which it handles multiple query languages, by implementing ISO CQLF (Corpus Query Lingua Franca), which in turn constitutes a component crucial for the functionality discussed here. Next, we look at query rewriting as it is used by KorAP and zoom in on one kind of this procedure, namely the rewriting of queries that is forced by data access restrictions.
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.
Bringing together a team of global experts, this is the first volume to focus on the ways in which meanings are ascribed to actions in social interaction. It builds on the research traditions of Conversation Analysis and Pragmatics, and highlights the role of interactional, social, linguistic, multimodal, and epistemic factors in the formation and ascription of action-meanings. It shows how inference and intention ascription are displayed and drawn upon by participants in social interaction. Each chapter reveals practices, processes, and uses of action ascription, based on the analysis of audio and video recordings from nine different languages. Action ascription is conceptualised in this volume as not merely a cognitive process, but a social action in its own right that is used for managing interactional concerns and guiding the subsequent course of social interaction. It will be essential reading for academic researchers and advanced students interested in the relationship between language, behaviour and social interaction.
Action ascription can be understood from two broad perspectives. On one view, it refers to the ways in which actions constitute categories by which members make sense of their world, and forms a key foundation for holding others accountable for their conduct. On another view, it refers to the ways in which we accountably respond to the actions of others, thereby accomplishing sequential versions of meaningful social experience. In short, action ascription can be understood as matter of categorisation of prior actions or responding in ways that are sequentially fitted to prior actions, or both. In this chapter, we review different theoretical approaches to action ascription that have developed in the field, as well as the key constituents and resources of action ascription that have been identified in conversation analytic research, before going on to discuss how action ascription can itself be considered a form of social action.
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.
This paper presents a dictionary writing system developed at the Institute for the German Language in Mannheim (IDS) for an ongoing international lexicographical project that traces the way of German loanwords in the East Slavic languages Russian, Belarusian and Ukrainian that were possibly borrowed via Polish. The results will be published in the Lehnwortportal Deutsch (LWP, lwp.ids-mannheim.de), a web portal for loanword dictionaries with German as the common donor language. The system described here is currently in use for excerpting data from a large range of historical and contemporary East Slavic monolingual dictionaries. The paper focuses on the tools that help in merging excerpts that are etymologically related to one and the same Polish etymon. The merging process involves eliminating redundancies and inconsistencies and, above all, mapping word senses of excerpted entries onto a common cross-language set of ‘metasenses’. This mapping may involve literally hundreds of excerpted East Slavic word senses, including quotations, for one ‘underlying’ Polish etymon.
Allusion
(2023)
Terminological resources play a central role in the organization and retrieval of scientific texts. Both simple keyword lists and advanced modelings of relationships between terminological concepts can make a most valuable contribution to the analysis, classification, and finding of appropriate digital documents, either on the web or within local repositories. This seems especially true for long-established scientific fields with elusive theoretical and historical branches, where the use of terminology within documents from different origins is often far from being consistent. In this paper, we report on the progress of a linguistically motivated project on the onomasiological re-modeling of the terminological resources for the grammatical information system grammis. We present the design principles and the results of their application. In particular, we focus on new features for the authoring backend and discuss how these innovations help to evaluate existing, loosely structured terminological content, as well as to efficiently deal with automatic term extraction. Furthermore, we introduce a transformation to a future SKOS representation. We conclude with a positioning of our resources with regard to the Knowledge Organization discourse and discuss how a highly complex information environment like grammis benefits from the re-designed terminological KOS.
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.
This thesis consists of the following three papers that all have been published in international peer-reviewed journals:
Chapter 3: Koplenig, Alexander (2015c). The Impact of Lacking Metadata for the Measurement of Cultural and Linguistic Change Using the Google Ngram Data Sets—Reconstructing the Composition of the German Corpus in Times of WWII. Published in: Digital Scholarship in the Humanities. Oxford: Oxford University Press. [doi:10.1093/llc/fqv037]
Chapter 4: Koplenig, Alexander (2015b). Why the quantitative analysis of dia-chronic corpora that does not consider the temporal aspect of time-series can lead to wrong conclusions. Published in: Digital Scholarship in the Humanities. Oxford: Oxford University Press. [doi:10.1093/llc/fqv030]
Chapter 5: Koplenig, Alexander (2015a). Using the parameters of the Zipf–Mandelbrot law to measure diachronic lexical, syntactical and stylistic changes – a large-scale corpus analysis. Published in: Corpus Linguistics and Linguistic Theory. Berlin/Boston: de Gruyter. [doi:10.1515/cllt-2014-0049]
Chapter 1 introduces the topic by describing and discussing several basic concepts relevant to the statistical analysis of corpus linguistic data. Chapter 2 presents a method to analyze diachronic corpus data and a summary of the three publications. Chapters 3 to 5 each represent one of the three publications. All papers are printed in this thesis with the permission of the publishers.
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.
This paper discusses computational linguistic methods for the semi-automatic analysis of modality interdependencies (the combination of complex resources such as speaking, writing, and visualizing; MID) in professional crosssituational interaction settings. The overall purpose of the approach is to develop models, methods, and a framework for the description and analysis of MID forms and functions. The paper describes work in progress—the development of an annotation framework that allows annotating different data and file formats at various levels, to relate annotation levels and entries independently of the given file format, and to visualize patterns.
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
As a consequence of a recent curation project, the Dortmund Chat Corpus is available in CLARIN-D research infrastructures for download and querying. In a legal expertise it had been recommended that standard measures of anonymisation be applied to the corpus before its republication. This paper reports about the anonymisation campaign that was conducted for the corpus. Anonymisation has been realised as categorisation, and the taxonomy of anonymisation categories applied is introduced and the method of applying it to the TEI files is demonstrated. The results of the anonymisation campaign as well as issues of quality assessment are discussed. Finally, pseudonymisation as an alternative to categorisation as a method of the anonymisation of CMC data is discussed, as well as possibilities of an automatisation of the process.
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.
Assessment
(2023)
Most broadly, an assessment is a type of social action by which an interactant expresses an evaluative stance towards someone or something (e.g., an object, an event, an action, an experience, a state of affairs, a place, a circumstance, etc.). The target of an assessment is typically called the ‘assessable’.
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.
Frimer et al. (2015) claim that there is a linear relationship between the level of prosocial language and the level of public disapproval of US Congress. A re-analysis demonstrates that this relationship is the result of a misspecified model that does not account for first-order autocorrelated disturbances. A Stata script to reproduce all presented results is available as an appendix.
In this paper, we describe preliminary results from an ongoing experiment wherein we classify two large unstructured text corpora—a web corpus and a newspaper corpus—by topic domain (or subject area). Our primary goal is to develop a method that allows for the reliable annotation of large crawled web corpora with meta data required by many corpus linguists. We are especially interested in designing an annotation scheme whose categories are both intuitively interpretable by linguists and firmly rooted in the distribution of lexical material in the documents. Since we use data from a web corpus and a more traditional corpus, we also contribute to the important field of corpus comparison and corpus evaluation. Technically, we use (unsupervised) topic modeling to automatically induce topic distributions over gold standard corpora that were manually annotated for 13 coarse-grained topic domains. In a second step, we apply supervised machine learning to learn the manually annotated topic domains using the previously induced topics as features. We achieve around 70% accuracy in 10-fold cross validations. An analysis of the errors clearly indicates, however, that a revised classification scheme and larger gold standard corpora will likely lead to a substantial increase in accuracy.
In this paper we present the results of an automatic classification of Russian texts into three levels of difficulty. Our aim is to build a study corpus of Russian, in which a L2 student is able to select texts of a desired complexity. We are building on a pilot study, in which we classified Russian texts into two levels of difficulty. In the current paper, we apply the classification to an extended corpus of 577 labelled texts. The best-performing combination of features achieves an accuracy of 0,74 within at most one level difference.
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.
Bilingual Kindergarten programmes. The interaction of language management and language attitudes
(2015)
It was recently suggested in a study published in Nature Human Behaviour that the historical loosening of American culture was associated with a trade-off between higher creativity and lower order. To this end, Jackson et al. generate a linguistic index of cultural tightness based on the Google Books Ngram corpus and use this index to show that American norms loosened between 1800 and 2000. While we remain agnostic toward a potential loosening of American culture and a statistical association with creativity/order, we show here that the methods used by Jackson et al. are neither suitable for testing the validity of the index nor for establishing possible relationships with creativity/order.
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.
Usenet is a large online resource containing user-generated messages (news articles) organised in discussion groups (newsgroups) which deal with a wide variety of different topics. We describe the download, conversion, and annotation of a comprehensive German news corpus for integration in DeReKo, the German Reference Corpus hosted at the Institut für Deutsche Sprache in Mannheim.
Enabling appropriate access to linguistic research data, both for many researchers and for innovative research applications, is a challenging task. In this chapter, we describe how we address this challenge in the context of the German Reference Corpus DeReKo and the corpus analysis platform KorAP. The core of our approach, which is based on and tightly integrated into the CLARIN infrastructure, is to offer access at different levels. The graduated access levels make it possible to find a low-loss compromise between the possibilities opened up and the costs incurred by users and providers for each individual use case, so that, viewed over many applications, the ratio between effort and results achieved can be effectively optimized. We also report on experiences with the current state of this approach.
This paper presents C-WEP, the Collection of Writing Errors by Professionals Writers of German. It currently consists of 245 sentences with grammatical errors. All sentences are taken from published texts. All authors are professional writers with high skill levels with respect to German, the genres, and the topics. The purpose of this collection is to provide seeds for more sophisticated writing support tools as only a very small proportion of those errors can be detected by state-of-the-art checkers. C-WEP is annotated on various levels and freely available.
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.
Formal learning in higher education creates its own challenges for didactics, teaching, technology, and organization. The growing need for well-educated employees requires new ideas and tools in education. Within the ROLE project, three personal learning environments based on ROLE technology were used to accompany “traditional” teaching and learning activities at universities. The test beds at the RWTH Aachen University in Germany, the School of Continuing Education of Shanghai Jiao Tong University in China, and the Uppsala University in Sweden differ in learning culture, the number of students and their individual background, synchronous versus distant learning, etc. The big range of test beds underlines the flexibility of ROLE technology. For each test bed, the learning scenario is presented and analyzed as well as the particular ROLE learning environment. The evaluation methods are described and the research results discussed in detail. The learned lessons provide an easy way to benefit from the ROLE research work which demonstrates the potential for new ideas based on flexible e-learning concepts and tools in “traditional” education.
Catching the common cause: extraction and annotation of causal relations and their participants
(2017)
In this paper, we present a simple, yet effective method for the automatic identification and extraction of causal relations from text, based on a large English-German parallel corpus. The goal of this effort is to create a lexical resource for German causal relations. The resource will consist of a lexicon that describes constructions that trigger causality as well as the participants of the causal event, and will be augmented by a corpus with annotated instances for each entry, that can be used as training data to develop a system for automatic classification of causal relations. Focusing on verbs, our method harvested a set of 100 different lexical triggers of causality, including support verb constructions. At the moment, our corpus includes over 1,000 annotated instances. The lexicon and the annotated data will be made available to the research community.
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.
The book investigates the diachronic dimension of contact-induced language change based on empirical data from Pennsylvania German (PG), a variety of German in long-term contact with English. Written data published in local print media from Pennsylvania (USA) between 1868 and 1992 are analyzed with respect to semantic changes in the argument structure of verbs, the use of impersonal constructions, word order changes in subordinate clauses and in prepositional phrase constructions.
The research objective is to trace language change based on diachronic empirical data, and to assess whether existing models of language contact make provisions to cover the long-term developments found in PG. The focus of the study is thus twofold: first, it provides a detailed analysis of selected semantic and syntactic changes in Pennsylvania German, and second, it links the empirical findings to theoretical approaches to language contact.
Previous investigations of PG have drawn a more or less static, rather than dynamic, picture of this contact variety. The present study explores how the dynamics of language contact can bring about language mixing, borrowing, and, eventually, language change, taking into account psycholinguistic processes in (the head of) the bilingual speaker.
This paper studies how the turn-design of a highly recurrent type of action changes over time. Based on a corpus of video-recordings of German driving lessons, we consider one type of instructions and analyze how the same instructional action is produced by the same speaker (the instructor) for the same addressee (the student) in consecutive trials of a learning task. We found that instructions become increasingly shorter, indexical and syntactically less complex; interactional sequences become more condensed and activities designed to secure mutual understanding become rarer. This study shows how larger temporal frameworks of interpersonal interactional histories which range beyond the interactional sequence impinge on the recipient-design of turns and the deployment of multimodal resources in situ.
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.
CLARIAH-DE cross-service search - prospects and benefits of merging subject-specific services
(2021)
CLARIAH-DE combines services and offerings of CLARIN-D and DARIAH-DE. This includes various search applications which are made directly available to researchers. These search applications are presented in this working paper based on their main characteristics and compared with a focus on possible harmonizations. Opportunities and risks of different forms of technical integration are highlighted. Identified challenges can be explained in particular considering the background of different organizational and technical frameworks as well as highly specific and discipline-dependent requirements. The integration work that has already been carried out and the experiences gained with regard to future work and possible integration of further applications are also discussed. The experiences made in CLARIAH-DE can especially be of interest for other projects in the field of digital research infrastructures.
This poster summarizes the results of the CLARIAH-DE Work Package 3: Skills Training and Promotion of Junior Researchers.
For a research field that is characterised by rapid technical development, CLARIAH-DE has to include the promotion of data literacy necessary for the efficient use of this digital research infrastructure as part of its objective. To develop, consolidate and refine a common programme in this area, work package 3 set itself the following sub goals:
- Consolidation of the activities from the previous projects into a joint service
- Cataloguing and reflecting on the methods and tools used in the research field, with the aim of identifying remaining gaps
- Skills training of, individual support for and the promotion of junior researchers
This poster summarizes the results of the CLARIAH-DE Work Package 5 - Community Engagement: Outreach/Dissemination and Liaison.
Work package 5 engages with the community through dissemination activities, outreach and liaison. The work package set itself the following sub goals:
- Combining the existing dissemination and outreach activities of CLARIN-D and DARIAH-DE in a meaningful way and elaborating on them. In some cases this meant continuity, in other cases a new appearance for resources.
- Providing a web portal as a gateway to the CLARIAH-DE project.
- Creating a common identity and corporate identity and maintaining the established level of trust users already put into CLARIN-D and DARIAH-DE.
- Providing a social media presence as well as a physical presence at workshops, conferences and other meetings in the Digital Humanities.
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.
CLARIN, the "Common Language Resources and Technology Infrastructure", has established itself as a major player in the field of research infrastructures for the humanities. This volume provides a comprehensive overview of the organization, its members, its goals and its functioning, as well as of the tools and resources hosted by the infrastructure. The many contributors representing various fields, from computer science to law to psychology, analyse a wide range of topics, such as the technology behind the CLARIN infrastructure, the use of CLARIN resources in diverse research projects, the achievements of selected national CLARIN consortia, and the challenges that CLARIN has faced and will face in the future.
The book will be published in 2022, 10 years after the establishment of CLARIN as a European Research Infrastructure Consortium by the European Commission (Decision 2012/136/EU).
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.
The paper presents best practices and results from projects dedicated to the creation of corpora of computer-mediated communication and social media interactions (CMC) from four different countries. Even though there are still many open issues related to building and annotating corpora of this type, there already exists a range of tested solutions which may serve as a starting point for a comprehensive discussion on how future standards for CMC corpora could (and should) be shaped like.
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.