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"Standard language" is a contested concept, ideologically, empirically and theoretically. This is particularly true for a language such as German, where the standardization of the spoken language was based on the written standard and was established with respect to a communicative situation, i.e. public speech on stage (Bühnenaussprache), which most speakers never come across. As a consequence, the norms of the oral standard exhibit many features which are infrequent in the everyday speech even of educated speakers. This paper discusses ways to arrive at a more realistic conception of (spoken) standard German, which will be termed "standard usage". It must be founded on empirical observations of speakers linguistic choices in everyday situations. Arguments in favor of a corpus-based notion of standard have to consider sociolinguistic, political, and didactic concerns. We report on the design of a large study of linguistic variation conducted at the Institute for the German Language (project "Variation in Spoken German", Variation des gesprochenen Deutsch) with the aim of arriving at a representative picture of "standard usage" in contemporary German. It systematically takes into account both diatopic variation covering the multi-national space in which German an official language, and diastratic variation in terms of varying degrees of formality. Results of the study of phonetic and morphosyntactic variation are discussed. At least for German, a corpus-based notion of "standard usage" inevitably includes some degree of pluralism concerning areal variation, and it needs to do justice to register-based variation as well.
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.
Authors like Fillmore 1986 and Goldberg 2006 have made a strong case for regarding argument omission in English as a lexical and construction-based affordance rather than one based on general semantico-pragmatic constraints. They do not, however, address the question of how grammatical restrictions on null complementation might interact with broader narrative conventions, in particular those of genre. In this paper, we attempt to remedy this oversight by presenting a comprehensive overview of genre-based argument omissions and offering a construction-based analysis of genre-based omission conventions. We consider five genre-based omission types: instructional imperatives (Culy 1996, Bender 1999), labelese, diary style (Haegeman 1990), match reports (Ruppenhofer 2004) and quotative clauses. We show that these omission types share important traits; all, for example, have anaphoric rather than indefinite construals. We also show, however, that the omission types differ from each other in idiosyncratic ways. We then address several interrelated representational problems posed by the grammatical treatment of genre-based omissions. For example, the constructions that represent genre-based omission conventions must interact with the lexical entries of verbs, many of which do not generally permit omitted arguments. Accordingly, we offer constructional analyses of genre-based omissions that allow constructions to override lexical valence constraints.
Our paper deals with the use of ICH WEIß NICHT (‘I don’t know’) in German talk-in-interaction. Pursuing an Interactional Linguistics approach, we identify different interactional uses of ICH WEIß NICHT and discuss their relationship to variation in argument structure (SV (O), (O)VS, V-only). After ICH WEIß NICHT with full complementation, speakers emphasize their lack of knowledge or display reluctance to answer. In contrast, after variants without an object complement, in contrast, speakers display uncertainty about the truth of the following proposition or about its sufficiency as an answer. Thus, while uses with both subject and object tend to close a sequence or display lack of knowledge, responses without an object, in contrast, function as a prepositioned epistemic hedge or a pragmatic marker framing the following TCU. When ICH WEIß NICHT is used in response to a statement, it indexes disagreement (independently from all complementation patterns).
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.
In this paper we present an evaluation of rule-based morphological components for German for use in an interactive editing environment. The criteria for the evaluation are deduced from the intended use of these components, namely availability, performance, programming interfaces, and analysis quality. We evaluated systems developed and maintained since decades as well as new systems. However, we note serious general shortcomings when looking closer at recent implementations and come to the conclusion that the oldest system is the only one that satisfies our requirements.
This paper is concerned with a novel methodology for generating phonetic questions used in tree-based state tying for speech recognition. In order to implement a speech recognition system, language-dependent knowledge which goes beyond annotated material is usually required. The approach presented here generates phonetic questions for decision trees are based on a feature table that summarizes the articulatory characteristics of each sound. On the one hand, this method allows better language-specific triphone models to be defined given only a feature-table as linguistic input. On the other hand, the feature-table approach facilitates efficient definition of triphone models for other languages since again only a feature table for this language is required. The approach is exemplified with speech recognition systems for English and Thai.
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.
The English language has taken advantage of the Digital Revolution to establish itself as the global language; however, only 28.6 %of Internet users speak English as their native language. Machine Trans-lation (MT) is a powerful technology that can bridge this gap. In devel-opment since the mid-20th century, MT has become available to every Internet user in the last decade, due to free online MT services. This paper aims to discuss the implications that these tools may have for the privacy of their users and how they are addressed by EU data protec-tion law. It examines the data-flows in respect of the initial processing (both from the perspective of the user and the MT service provider) and potential further processing that may be undertaken by the MT service provider.
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.
The paper presents the results of a joint effort of a group of multimodality researchers and tool developers to improve the interoperability between several tools used for the annotation and analysis of multimodality. Each of the tools has specific strengths so that a variety of different tools, working on the same data, can be desirable for project work. However this usually requires tedious conversion between formats. We propose a common exchange format for multimodal annotation, based on the annotation graph (AG) formalism, which is supported by import and export routines in the respective tools. In the current version of this format the common denominator information can be reliably exchanged between the tools, and additional information can be stored in a standardized way.
This article describes an English Zulu learners’ dictionary that is part of a larger set of information tools, namely an online Zulu course, an e-dictionary of possessives (which was implemented earlier) accompanied by training software offering translation tasks on several levels, and an ontology of morphemic items categorizing and describing all parts of speech of Zulu. The underlying lexicographic database contains the usual type of lexicographic data, such as translation equivalents and their respective morphosyntactic data, but its entries have been extended with data related to the lessons of the online course in order to enable the learner to link both tools autonomously. The ‘outer matter’ is integrated into the website in the form of several texts on additional web pages (how-to-use, typical outputs, grammar tables, information on morphosyntactic rules, etc.). The dictionary comprises a modular system, where each module fulfils one of the necessary functions.
Just like most varieties of West Germanic, virtually all varieties of German use a construction in which a cognate of the English verb 'do' (standard German 'tun') functions as an auxiliary and selects another verb in the bare infinitive, a construction known as 'do'-periphrasis or 'do'-support. The present paper provides an Optimality Theoretic (OT) analysis of this phenomenon. It builds on a previous analysis by Bader and Schmid (An OT-analysis of 'do'-support in Modern German, 2006) but (i) extends it from root clauses to subordinate clauses and (ii) aims to capture all of the major distributional patterns found across (mostly non-standard) varieties of German. In so doing, the data are used as a testing ground for different models of German clause structure. At first sight, the occurrence of 'do' in subordinate clauses, as found in many varieties, appears to support the standard CP-IP-VP analysis of German. In actual fact, however, the full range of data turn out to challenge, rather than support, this model. Instead, I propose an analysis within the IP-less model by Haider (Deutsche Syntax - generativ. Vorstudien zur Theorie einer projektiven Grammatik, Narr, Tübingen, 1993 et seq.). In sum, the 'do'-support data will be shown to have implications not only for the analysis of clause structure but also for the OT constraints commonly assumed to govern the distribution of 'do', for the theory of non-projecting words (Toivonen in Non-projecting words, Kluwer, Dordrecht, 2003) as well as research on grammaticalization.
Although there is a growing interest of policy makers in higher education issues (especially on an international scale), there is still a lack of theoretically well-grounded comparative analyses of higher education policy. Even broadly discussed topics in higher education research like the potential convergence of European higher education systems in the course of the Bologna Process suffer from a thin empirical and comparative basis. This paper aims to deal with these problems by addressing theoretical questions concerning the domestic impact of the Bologna Process and the role national factors play in determining its effects on cross-national policy convergence. It develops a distinct theoretical approach for the systematic and comparative analysis of cross-national policy convergence. In doing so, it relies upon insights from related research areas — namely literature on Europeanization as well as studies dealing with cross-national policy convergence.
MRI data of German vowels and consonants was acquired for 9 speakers. In this paper tongue contours for the vowels were analyzed using the three-mode factor analysis technique PARAFAC. After some difficulties, probably related to what constitutes an adequate speaker sample for this three-mode technique to work, a stable two-factor solution was extracted that explained about 90% of the variance. Factor 1 roughly captured the dimension low back to high front; Factor 2 that from mid front to high back. These factors are compared with earlier models based on PARAFAC. These analyses were based on midsagittal contours; the paper concludes by illustrating from coronal and axial sections how non-midline information could be incorporated into this approach.
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.
We continue the study of the reproducibility of Propp’s annotations from Bod et al. (2012). We present four experiments in which test subjects were taught Propp’s annotation system; we conclude that Propp’s system needs a significant amount of training, but that with sufficient time investment, it can be reliably trained for simple tales.
Antonymy is a relation of lexical opposition which is generally considered to involve (i) the presence of a scale along which a particular property may be graded, and hence both (ii) gradability of the corresponding lexical items and (iii) typical entailment relations. Like other types of lexical opposites, antonyms typically differ only minimally: while denoting opposing poles on the relevant dimension of difference, they are similar with respect to other components of meaning. This paper presents examples of antonymy from the domain of speech act verbs which either lack some of these typical attributes or show problems in the application of these. It discusses several different proposals for the classification of these atypical examples.
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.
HMMs are the dominating technique used in speech recognition today since they perform well in overall phone recognition. In this paper, we show the comparison of HMM methods and machine learning techniques, such as neural networks, decision trees and ensemble classifiers with boosting and bagging in the task of articulatory-acoustic feature classification. The experimental results show that HMM methods work well for the classification of such features as vocalic. However, decision tree and bagging outperform HMMs for the fricative classification task since the data skewness is much higher than for the feature vocalic classification task. This demonstrates that HMMs do not perform as well as decision trees and bagging in highly skewed data settings.
Precise multimodal studies require precise synchronisation between audio and video signals. However, raw audio and audio from video recordings can be out of sync for several reasons. In order to re-synchronise them, a dynamic programming (DP) approach is presented here. Traditionally, DP is performed on the rectangular distance matrix comparing each value in signal A with each value in signal B. Previous work limited the search space using for example the Sakoe Chiba Band (Sakoe and Chiba, 1978). However, the overall space of the distance matrix remains identical. Here, a tunnel matrix and its according DP-algorithm are presented. The matrix contains merely the computed distance of two signals to a pre-specified bandwidth and the computational cost is equally reduced. An example implementation demonstrates the functionality on artificial data and on data from real audio and video recordings.
Automatic recognition of speech, thought, and writing representation in German narrative texts
(2013)
This article presents the main results of a project, which explored ways to recognize and classify a narrative feature—speech, thought, and writing representation (ST&WR)—automatically, using surface information and methods of computational linguistics. The task was to detect and distinguish four types—direct, free indirect, indirect, and reported ST&WR—in a corpus of manually annotated German narrative texts. Rule-based as well as machine-learning methods were tested and compared. The results were best for recognizing direct ST&WR (best F1 score: 0.87), followed by indirect (0.71), reported (0.58), and finally free indirect ST&WR (0.40). The rule-based approach worked best for ST&WR types with clear patterns, like indirect and marked direct ST&WR, and often gave the most accurate results. Machine learning was most successful for types without clear indicators, like free indirect ST&WR, and proved more stable. When looking at the percentage of ST&WR in a text, the results of machine-learning methods always correlated best with the results of manual annotation. Creating a union or intersection of the results of the two approaches did not lead to striking improvements. A stricter definition of ST&WR, which excluded borderline cases, made the task harder and led to worse results for both approaches.
Feminine forms of job titles raise great interest in many countries. However, it is still unknown how they shape stereotypical impressions on warmth and competence dimensions among female and male listeners. In an experiment with fictitious job titles men perceived women described with feminine job titles as significantly less warm and marginally less competent than women with masculine job titles, which led to lower willingness to employ them. No such effects were observed among women.
This paper provides a unified semantic and discourse pragmatic analysis of the German particle nämlich, traditionally described as having a specificational and an explanative reading. Our claim is that nämlich is a discourse marker which signals that the expression it is attached to is a short (elliptic) answer to a salient implicit question about the previous utterance. We show how both the explanative and the specificational reading can be derived from this more general semantic contribution. In addition we discuss some cross linguistic consequences of our analysis.
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
(2009)
In this paper we show that the extraction of opinions from free-text reviews can improve the accuracy of movie recommendations. We present three approaches to extract movie aspects as opinion targets and use them as features for the collaborative filtering. Each of these approaches requires different amounts of manual interaction. We collected a data set of reviews with corresponding ordinal (star) ratings of several thousand movies to evaluate the different features for the collaborative filtering. We employ a state-of-the-art collaborative filtering engine for the recommendations during our evaluation and compare the performance with and without using the features representing user preferences mined from the free-text reviews provided by the users. The opinion mining based features perform significantly better than the baseline, which is based on star ratings and genre information only.
In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules. The benefit of this method is that though no labeled training data are required, it allows a classifier to capture in-domain knowledge by training a supervised classifier with in-domain features, such as bag of words, on instances labeled by a rule-based classifier. Thus, this approach can be considered as a simple and effective method for domain adaptation. Among the list of components of this approach, we investigate how important the quality of the rule-based classifier is and what features are useful for the supervised classifier. In particular, the former addresses the issue in how far linguistic modeling is relevant for this task. We not only examine how this method performs under more difficult settings in which classes are not balanced and mixed reviews are included in the data set but also compare how this linguistically-driven method relates to state-of-the-art statistical domain adaptation.
Complex common names such as Indian elephant or green tea denote a certain type of entity, viz. kinds. Moreover, those kinds are always subkinds of the kind denoted by their head noun. Establishing such subkinds is essentially the task of classifying modifiers that are a defining trait of endocentrically structured complex common names. Examining complex common names of different lexico-syntactic types(NN compounds, N+N syntagmas, NP/PP syntagmas, A+N syntagmas) and from different languages (particularly English, German and French) it can be shown that complex common names are subject to language- independent formal and semantic constraints. In particular, complex common names qualify as name-like expressions in that they tend to be deficient in terms of formal complexity and semantic compositionality.
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.
Within cognitive linguistics, there is an increasing awareness that the study of linguistic phenomena needs to be grounded in usage. Ideally, research in cognitive linguistics should be based on authentic language use, its results should be replicable, and its claims falsifiable. Consequently, more and more studies now turn to corpora as a source of data. While corpus-based methodologies have increased in sophistication, the use of corpus data is also associated with a number of unresolved problems. The study of cognition through off-line linguistic data is, arguably, indirect, even if such data fulfils desirable qualities such as being natural, representative and plentiful. Several topics in this context stand out as particularly pressing issues. This discussion note addresses (1) converging evidence from corpora and experimentation, (2) whether corpora mirror psychological reality, (3) the theoretical value of corpus linguistic studies of ‘alternations’, (4) the relation of corpus linguistics and grammaticality judgments, and, lastly, (5) the nature of explanations in cognitive corpus linguistics. We do not claim to resolve these issues nor to cover all possible angles; instead, we strongly encourage reactions and further discussion.
The ubiquity of smartphones has been recognised within conversation analysis as having an impact on conversational structures and on the participants’ interactional involvement. However, most of the previous studies have relied exclusively on video recordings of overall encounters and have not systematically considered what is taking place on the device. Due to the personal nature of smartphones and their small displays, onscreen activities are of limited visibility and are thus potentially opaque for both the co-present participants (“participant opacity”) and the researchers (“analytical opacity”). While opacity can be an inherent feature of smartphones in general, analytical opacity might not be desirable for research purposes. This chapter discusses how a recording set-up consisting of static cameras, wearable cameras and dynamic screen captures allowed us to address the analytical opacity of mobile devices. Excerpts from multi-source video data of everyday encounters will illustrate how the combination of multiple perspectives can increase the visibility of interactional phenomena, reveal new analytical objects and improve analytical granularity. More specifically, these examples will emphasise the analytical advantages and challenges of a combined recording set-up with regard to smartphone use as multiactivity, the role of the affordances of the mobile device, and the prototypicality and “naturalness” of the recorded practices.
Communication of stereotypes in the classroom: biased language use of German and Turkish adolescents
(2014)
Little is known about the linguistic transmission and maintenance of mutual stereotypes in interethnic contexts. This field study, therefore, investigated the linguistic expectancy bias (LEB) and the linguistic intergroup bias (LIB) among German and Turkish adolescents (13 to 20 years) in the school context. The LEB refers to the general phenomenon of describing stereotypes more abstractly. The LIB is the tendency to use language abstraction for in-group protective reasons. Results revealed an unmoderated LEB, whereas the LIB only occurred when foreigners were in the numerical majority, the classroom composition was perceived as a learning disadvantage, or the interethnic conflict frequency was high. These findings provide first evidence for the use of both LEB and LIB in an interethnic classroom setting.
Most research on ethnicity has focused on visual cues. However, accents are strong social cues that can match or contradict visual cues. We examined understudied reactions to people whose one cue suggests one ethnicity, whereas the other cue contradicts it. In an experiment conducted in Germany, job candidates spoke with an accent either congruent or incongruent with their (German or Turkish) appearance. Based on ethnolinguistic identity theory, we predicted that accents would be strong cues for categorization and evaluation. Based on expectancy violations theory we expected that incongruent targets would be evaluated more extremely than congruent targets. Both predictions were confirmed: accents strongly influenced perceptions and Turkish-looking German-accented targets were perceived as most competent of all targets (and additionally most warm). The findings show that bringing together visual and auditory information yields a more complete picture of the processes underlying impression formation.
Several studies have examined effects of explicit task demands on eye movements in reading. However, there is relatively little prior research investigating the influence of implicit processing demands. In this study, processing demands were manipulated by means of a between-subject manipulation of comprehension question difficulty. Consistent with previous results from Wotschack and Kliegl, the question difficulty manipulation influenced the probability of regressing from late in sentences and re-reading earlier regions; readers who expected difficult comprehension questions were more likely to re-read. However, this manipulation had no reliable influence on eye movements during first-pass reading of earlier sentence regions. Moreover, for the subset of sentences that contained a plausibility manipulation, the disruption induced by implausibility was not modulated by the question manipulation. We interpret these results as suggesting that comprehension demands influence reading behavior primarily by modulating a criterion for comprehension that readers apply after completing first-pass processing.
In this paper the authors briefly outline editing functions which use methods from computational linguistics and take the structures of natural languages into consideration. Such functions could reduce errors and better support writers in realizing their communicative goals. However, linguistic methods have limits, and there are various aspects software developers have to take into account to avoid creating a solution looking for a problem: Language-aware functions could be powerful tools for writers, but writers must not be forced to adapt to their tools.
Content analysis provides a useful and multifaceted, methodological framework for Twitter analysis. CAQDAS tools support the structuring of textual data by enabling categorising and coding. Depending on the research objective, it may be appropriate to choose a mixed-methods approach that combines quantitative and qualitative elements of analysis and plays out their respective advantages to the greatest possible extent while minimising their shortcomings. In this chapter, we will discuss CAQDAS speech act analysis of tweets as an example of software-assisted content analysis. We start with some elementary thoughts on the challenges of the collection and evaluation of Twitter data before we give a brief description of the potentials and limitations of using the software QDA Miner (as one typical example for possible analysis programmes). Our focus will lie on analytical features that can be particularly helpful in speech act analysis of tweets.
This paper deals with different views of lexical semantics. The focus is on the relationship between lexical expressions and conceptual components. First the assumptions about lexicalization and decompositionality of concepts shared by the most semanticists are presented, followed by a discussion of the differences between two-level-semantics and one-level-semantics. The final part is concentrated on the interpretation of conceptual components in situations of communication.
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.
Are borrowed neologisms accepted more slowly into the German language than German words resulting from the application of wrd 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.
Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage; its poetic genres impose unique combinatory constraints on linguistic elements. How does the constrained poetic structure facilitate speech segmentation when common linguistic and statistical cues are unreliable to listeners in poems? We generated artificial Jueju, which arguably has the most constrained structure in ancient Chinese poetry, and presented each poem twice as an isochronous sequence of syllables to native Mandarin speakers while conducting magnetoencephalography (MEG) recording. We found that listeners deployed their prior knowledge of Jueju to build the line structure and to establish the conceptual flow of Jueju. Unprecedentedly, we found a phase precession phenomenon indicating predictive processes of speech segmentation—the neural phase advanced faster after listeners acquired knowledge of incoming speech. The statistical co-occurrence of monosyllabic words in Jueju negatively correlated with speech segmentation, which provides an alternative perspective on how statistical cues facilitate speech segmentation. Our findings suggest that constrained poetic structures serve as a temporal map for listeners to group speech contents and to predict incoming speech signals. Listeners can parse speech streams by using not only grammatical and statistical cues but also their prior knowledge of the form of language.
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.
One major issue in the accomplishment of contrasts in conversation is lexical choice of items which carry the semantic Ioad of the two states of affair which are represented as being opposed to one another. These items or expressions are co-selected to be understood as being contrastively related to each other. In this paper, it is argued that the activity of contrasting itself provides them with a specific local opposite meaning which they would not obtain in other contexts. Practices of contrastingare thus seen as an example of conversational activities which creatively and systematically affect situated meanings. Basedon data from various genres, such as meetings, mediation sessions and conversations, the paper discusses two practices of contrasting, their sequential construction and their interpretative effects. It is concluded that the interpretative effects of conversational contrasting rest on the sequential deployment oflinguistic resources and on the cognitive procedures of frame-based interpretation and constructing a maximally contrastive interpretation for the co-selected expressions.
In the context of the HyTex project, our goal is to convert a corpus into a hypertext, basing conversion strategies on annotations which explicitly mark up the text-grammatical structures and relations between text segments. Domain-specific knowledge is represented in the form of a knowledge net, using topic maps. We use XML as an interchange format. In this paper, we focus on a declarative rule language designed to express conversion strategies in terms of text-grammatical structures and hypertext results. The strategies can be formulated in a concise formal syntax which is independend of the markup, and which can be transformed automatically into executable program code.
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.
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.
Speech islands are historically and developmentally unique and will inevitably disappear within the next decades. We urgently need to preserve their remains and exploit what is left in order to make research on language-in-contact and historical as well as current comparative language research possible.
The Archive for Spoken German (AGD) at the Institute for German Language collects, fosters and archives data from completed research projects and makes them available to the wider research community.
Besides large variation corpora and corpora of conversational speech, the archive already contains a range of collections of data on German speech minorities. The latter will be outlined in this chapter. Some speech island data is already made available through the personal service of the AGD, or the database of spoken German (DGD), e.g. data on Australian German, Unserdeutsch, or German in North America. Some corpora are still being prepared for publication, but still important to document for potentially interested research projects. We therefore also explain the current problems and efforts related to the curation of speech island data, from the digitization of recordings and the collection of metadata, to the integration of transcriptions, annotations and other ways of accessing and sharing data.
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.