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Latvia
(2019)
This chapter deals with current issues in bilingual education in the framework of language and educational policies in Latvia, and also outlines similarities or common tendencies in the two other Baltic states, Estonia and Lithuania. As commonly understood in the 21st century, the term ‘bilingual education’ includes ‘multilingual education, as the umbrella term to cover a wide spectrum of practice and policy’ (García, 2009: 9).
„Unserdeutsch”, a creole spoken in a former German South Pacific colony, and what is now Papua New Guinea, is being extensively documented and studied by linguists for the first time. There is no time to lose, because after a chequered history the world's only German-based creole – long ignored – is facing extinction.
We report on a new project building a Natural Language Processing resource for Zulu by making use of resources already available. Combining tagging results with the results of morphological analysis semi-automatically, we expect to reduce the amount of manual work when generating a finely-grained gold standard corpus usable for training a tagger. From the tagged corpus, we plan to extract verb-argument pairs with the aim of compiling a verb valency lexicon for Zulu.
The present research unites two emergent trends in the area of language attitudes: (a) research on perceptions of nonnative speakers by nonnative listeners and (b) the search for general, basic mechanisms underlying the evaluation of nonnative accented speakers. In three experiments featuring an employment situation, German participants listened to a presentation given in English by a German speaker with a strong versus native-like accent (in Studies 1–3) versus a native speaker of English (in Study 1). They evaluated candidates with a strong accent worse than candidates with a native(-like) pronunciation—even to the degree that the quality of arguments was of no relevance (Study 1). Study 2 introduces an effective intervention to reduce these discriminatory tendencies. Across studies, affect and competence emerged as major mediators of hirability evaluations. Study 3 further revealed sequential indirect influences, which advance our understanding of previous inconsistent findings regarding disfluency and warmth perceptions.
This paper analyzes the LL in the city of Bautzen / Budyšin in Germany, a town which is frequently considered the “capital” of the Slavonic minority of the Sorbs. It focuses on the societal role of Sorbian in relation to practices and ideologies of mainstream German society. The vast majority of signs in Bautzen / Budyšin are in German only. Sorbian is essentially restricted to explicitly Sorbian institutions and to local and regional administration. Interviews conducted in shops and on the streets reveal that paternalistic attitudes common to perceptions of language policies and minority languages in Germany dominate; practices maintain the common monolingual habitus in German society. Members of the majority population show little awareness of Sorbian issues, and Sorbian signage is seen as a generous gesture but considered essentially unnecessary. Only in most recent times, a reaction by the Sorbian community has challenged these practices and attitudes.
This edited collection provides an overview of linguistic diversity, societal discourses and interaction between majorities and minorities in the Baltic States. It presents a wide range of methods and research paradigms including folk linguistics, discourse analysis, narrative analyses, code alternation, ethnographic observations, language learning motivation, languages in education and language acquisition. Grouped thematically, its chapters examine regional varieties and minority languages (Latgalian, Võro, urban dialects in Lithuania, Polish in Lithuania); the integration of the Russian language and its speakers; and the role of international languages like English in Baltic societies. The editors’ introductory and concluding chapters provide a comparative perspective that situates these issues within the particular history of the region and broader debates on language and nationalism at a time of both increased globalization and ethno-regionalism. This book will appeal in particular to students and scholars of multilingualism, sociolinguistics, language discourses and language policy, and provide a valuable resource for researchers focusing on Baltic States, Northern Europe and the post-Soviet world in the related fields of history, political science, sociology and anthropology.
This chapter introduces readers to the context and concept of this volume. It starts by providing an historical overview of languages and multilingualism in Lithuania, Estonia and Latvia, highlighting the 100th anniversary of statehood which the three Baltic states are celebrating in 2018. Then, the chapter briefly presents important strands of research on multilingualism in the region throughout the past decades; in particular, questions about language policies and the status of the national languages (Estonian, Latvian and Lithuanian) and Russian. It also touches on debates about languages in education and the roles of other languages such as the regional languages of Latgalian and Võro and the changing roles of international languages such as English and German. The chapter concludes by providing short summaries of the contributions to this book.
This chapter investigates differences in language regards in Latvia and Estonia. Based on the results of a survey that had about 1000 respondents in each country, it analyses general views on languages and language-learning motivation, as well as specific regards of Estonian, Latvian, Russian, English, German and other languages. The results show that languages and language learning are generally important for the respondents; language-learning motivation is overwhelmingly instrumental. Besides the obvious value of the titular languages of each country, English and Russian are to differing degrees considered of importance for professional and leisure purposes, ahead of German, Finnish (in Estonia) and French, whereas other languages are of little relevance. In more emotionally related categories, differences are more salient. L1-speakers of Russian differ in their views from L1-speakers of Estonian and Latvian, indicating that the linguistic acculturation of society in Estonia tends to be more monodirectional towards Estonian, whereas in Latvia there are more bidirectional tendencies as both Latvian and Russian L1-speakers regard each other’s languages as at least moderately relevant.
Resistance and adaptation to newspeakerness in educational institutions: two tales from Estonia
(2019)
The term ‘new speaker’ has recently emerged as an attempt by sociolinguists not only to understand the diferent types of speaker profles that can be found in contemporary societies, but also to grasp the underlying processes of becoming a legitimate speaker in a given society. In this article, we combine the results from two studies situated in two educational institutions in Estonia in order to fnd out about speakers’ language attitudes and experiences in connection to learning and using Estonian. We concentrate on members of the international community who have relatively recently arrived to the country. Our results indicate that these speakers fuctuate between two prototypical discourses, which we broadly dub as ‘resistance’ and ‘adaptation’ to newspeakerness. Our study thereby adds to current debates on ‘new speaker’ and language policy issues by illustrating how tensions around language legitimacy are played out on the ground in a small nation state such as Estonia.
Studies on the Linguistic Landscapes (LLs) investigate frequencies, functions, and power relations between languages and their speakers in public space. Research on the LL thereby aims to understand how the production and perception of signs reflect and simultaneously shape realities. In this sense, the LL is one of the most dynamic places where processes of minoritization take place: the (in)visibility of minority languages and the functional and symbolic relationships to majority languages are in direct relationship with negotiations of minorities’ place in society. This chapter looks at minority languages in the LL from two major perspectives. Firstly, it discusses language policies, focussing on which policy categories and which domains of language use are of particular relevance for understanding minority languages in the LL. Then, it turns to issues of conflict, contestation, and exclusion by providing examples from a range of geographically and typologically prototypical case studies, including Israel, Canada, Belgium, the Basque Country, and Friesland.
Research on language politics, policy, and planning is of importance to contact linguistics, since political relations between groups of language users, the way in which the use of language(s) is organized, and how language issues are politicized fundamentally shape the political and social conditions under which language varieties are in contact. This chapter first provides a short sketch of how language policy, planning, and politics have so far been conceptualized. Major subfields will be discussed, and then relevant actors and factors in these processes will be introduced. At the end, these aspects will be discussed from a contact linguistic perspective and summarized in a graphic visualization.
Preface
(2019)
The paper deals with the process of computer-aided transcription regarding Arabic-German data material for interaction-based studies. First of all, it sheds light upon some major methodological challenges posed by the conversation-analytic approaches: due to current corpus technology, the reciprocity, linearity, and simultaneity of linguistic activities cannot be reconstructed in an analytically proper way when using the Arabic characters in multilingual and bidirectional transcripts. The difficulty of transcribing Arabic encounters is also compounded by the fact that Spoken Arabic as well as its varieties and phenomena have not been standardised enough (for conversation-analytic purposes). Therefore, the second part of this paper is dedicated to preliminary, self-developed solutions, namely a systematic method for transcribing Spoken Arabic.
Content
1 Predicting learner knowledge of individual words using machine learning
Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková
2 Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context
Eckhard Bick
3 Toward automatic improvement of language produced by non-native language learners
Mathias Creutz, Eetu Sjöblom
4 Linguistic features and proficiency classification in L2 Spanish and L2 Portuguese
Iria del Ri´o
5 Integrating large-scale web data and curated corpus data in a search engine supporting German literacy education
Sabrina Dittrich, Zarah Weiss, Hannes Schröter, Detmar Meurers
6 Formalism for a language agnostic language learning game and productive grid generation
Sylvain Hatier, Arnaud Bey, Mathieu Loiseau
7 Understanding Vocabulary Growth Through An Adaptive Language Learning System
Elma Kerz, Andreas Burgdorf, Daniel Wiechmann, Stefan Meeger,Yu Qiao, Christian Kohlschein, Tobias Meisen
8 Summarization Evaluation meets Short-Answer Grading
Margot Mieskes, Ulrike Padó
9 Experiments on Non-native Speech Assessment and its Consistency
Ziwei Zhou, Sowmya Vajjala, Seyed Vahid Mirnezami
10 The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems
Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Björn Rudzewitz, Detmar Meurers
The demo presents a minimalist, off-the-shelf AND tool which provides a fundamental AND operation, the comparison of two publications with ambiguous authors, as an easily accessible HTTP interface. The tool implements this operation using standard AND functionality, but puts particular emphasis on advanced methods from natural language processing (NLP) for comparing publication title semantics.
You might not know what a “smombie” is, but you have certainly already met one today. In public streets and places, the so-called “smartphone zombies” regularly cross our ways. They walk slowly, in peculiar ways, their eyes and fingers focused on their smartphone displays. While some cities have already introduced specific walking lanes or ground-level traffic signs for smartphone users “on the go”, it is not only road safety that is at stake. Frequently hunching over our phones causes cervical pain, we are addicted to likes on social media, and the fear of missing out prevents us from switching off our phones. If asked if mobile device use is possibly harmful to our bodies and minds, most people would spontaneously agree. Our social skills seem to constantly diminish since smartphones have become an everyday tool: we stick to them like glue while waiting for the bus, while walking, while eating, even while being with others. Will we turn into social zombies in the end?
Speech planning is a sophisticated process. In dialog, it regularly starts in overlap with an incoming turn by a conversation partner. We show that planning spoken responses in overlap with incoming turns is associated with higher processing load than planning in silence. In a dialogic experiment, participants took turns with a confederate describing lists of objects. The confederate’s utterances (to which participants responded) were pre-recorded and varied in whether they ended in a verb or an object noun and whether this ending was predictable or not. We found that response planning in overlap with sentence-final verbs evokes larger task-evoked pupillary responses, while end predictability had no effect. This finding indicates that planning in overlap leads to higher processing load for next speakers in dialog and that next speakers do not proactively modulate the time course of their response planning based on their predictions of turn endings. The turn-taking system exerts pressure on the language processing system by pushing speakers to plan in overlap despite the ensuing increase in processing load.
The use of digital resources and tools across humanities disciplines is steadily increasing, giving rise to new research paradigms and associated methods that are commonly subsumed under the term digital humanities. Digital humanities does not constitute a new discipline in itself, but rather a new approach to humanities research that cuts across different existing humanities disciplines. While digital humanities extends well beyond language-based research, textual resources and spoken language materials play a central role in most humanities disciplines.
In German oral discourse, previous research has shown that okay can be used both as a response token (e.g., for agreeing with the previous turn or for claiming a certain degree of understanding) and as a discourse marker (e.g., for closing conversational topics or sequences and/or indicating transitions). This contribution focuses on the use of okay as a response token and how it is connected with the speakers’ interactional state of knowledge (their understanding, their assumptions etc.). The analysis is based on video recorded everyday conversations in German and a sequential, micro-analytic approach (multimodal conversation analysis). The main function of conversational okay in the selected data set is related to indicating the acceptance of prior information. By okay, speakers however claim acceptance of a piece of information that they can’t verify or check. The analysis contrasts different sequences containing okay only with sequences in which change-of-state tokens such as ah and achso co-occur with okay. This illustrates that okay itself does not index prior information as new, and that it is not used for agreeing with or for confirming prior information. Instead it enables the speaker to adopt a kind of neutral, “non-agreeing” position towards a given piece of information.
The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required, for instance, when an institution faces reorganization or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.
In this chapter, we discuss steps toward extending CMDI’s semantic interoperability beyond the Social Sciences and Humanities: We stress the need for an initial data curation step, in part supported by a relation registry that helps impose some structure on CMDI vocabulary; we describe the use of authority file information and other controlled vocabulary to help connecting CMDI-based metadata to existing Linked Data; we show how significant parts of CMDI-based metadata can be converted to bibliographic metadata standards and hence entered into library catalogs; and finally we describe first steps to convert CMDI-based metadata to RDF. The initial grassroots approach of CMDI (meaning that anybody can define metadata descriptors and components) mirrors the AAA slogan of the Semantic Web (“Anyone can say Anything about Any topic”). Ironically, this makes it hard to fully link CMDI-based metadata to other Semantic Web datasets. This paper discusses the challenges of this enterprise.
This paper investigates self-initiated uses of mobile phones (such as texting or making a call) in everyday video-recorded conversations among Czech speakers. Using ethnomethodological conversation analysis, it illustrates how participants publicly frame their own device use (for example, by announcements), and how co-present interlocutors respond to it. Previous studies have described how participants manage two concurrent communicative involvements, but have not provided detailed sequential descriptions of how device use can be negotiated and accounted for. This study shows that mobile device use in co-presence is not a priori problematic (or vice versa). Instead, participants frame their technology use in different ways according to various features of the social situation they treat as momentarily relevant. These features include the course of the conversation and how the device use relates to it, the overall participation framework and the opacity of the device use for co-present others.
We investigate whether prototypicality or prominence of semantic roles can account for role-related effects in sentence interpretation. We present two acceptability-rating experiments testing three different constructions: active, personal passive and DO-clefts involving the same type of transitive verbs that differ with respect to the agentive role features they select. Our results reveal that there is no cross-constructional advantage for prototypical roles (e.g., agents), hence disconfirming a central tenet of role prototypicality. Rather, acceptability clines depend on the construction under investigation, thereby highlighting different role features. This finding is in line with one core assumption of the prominence account stating that role features are flexibly highlighted depending on the discourse function of the respective construction.
Although the N400 was originally discovered in a paradigm designed to elicit a P300 (Kutas and Hillyard, 1980), its relationship with the P300 and how both overlapping event-related potentials (ERPs) determine behavioral profiles is still elusive. Here we conducted an ERP (N = 20) and a multiple-response speed-accuracy tradeoff (SAT) experiment (N = 16) on distinct participant samples using an antonym paradigm (The opposite of black is white/nice/yellow with acceptability judgment). We hypothesized that SAT profiles incorporate processes of task-related decision-making (P300) and stimulus-related expectation violation (N400). We replicated previous ERP results (Roehm et al., 2007): in the correct condition (white), the expected target elicits a P300, while both expectation violations engender an N400 [reduced for related (yellow) vs. unrelated targets (nice)]. Using multivariate Bayesian mixed-effects models, we modeled the P300 and N400 responses simultaneously and found that correlation between residuals and subject-level random effects of each response window was minimal, suggesting that the components are largely independent. For the SAT data, we found that antonyms and unrelated targets had a similar slope (rate of increase in accuracy over time) and an asymptote at ceiling, while related targets showed both a lower slope and a lower asymptote, reaching only approximately 80% accuracy. Using a GLMM-based approach (Davidson and Martin, 2013), we modeled these dynamics using response time and condition as predictors. Replacing the predictor for condition with the averaged P300 and N400 amplitudes from the ERP experiment, we achieved identical model performance. We then examined the piecewise contribution of the P300 and N400 amplitudes with partial effects (see Hohenstein and Kliegl, 2015). Unsurprisingly, the P300 amplitude was the strongest contributor to the SAT-curve in the antonym condition and the N400 was the strongest contributor in the unrelated condition. In brief, this is the first demonstration of how overlapping ERP responses in one sample of participants predict behavioral SAT profiles of another sample. The P300 and N400 reflect two independent but interacting processes and the competition between these processes is reflected differently in behavioral parameters of speed and accuracy.
German subjectively veridical sicher sein ‘be certain’ can embed ob-clauses in negative contexts, while subjectively veridical glauben ‘believe’ and nonveridical möglich sein ‘be possible’ cannot. The Logical Form of F isn’t certain if M is in Rome is regarded as the negated disjunction of two sentences ¬(cf σ ∨ cf ¬σ) or ¬cf σ ∧ ¬cf ¬σ. Be certain can have this LF because ¬cf σ and ¬cf ¬σ are compatible and nonveridical. Believe excludes this LF because ¬bf σ and ¬bf ¬σ are incompatible in a question-under-discussion context. It follows from this incompatibility and from the incompatibility of bf σ and bf ¬σ that bf ¬σ and ¬bf σ are equivalent. Therefore believe cannot be nonveridical. Be possible doesn’t allow the LF either. Similar to believe, ¬pf σ and ¬pf ¬σ are incompatible. But unlike believe, pf σ and pf ¬σ are compatible.
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.
We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection techniques, our model does not need parallel data during inference time. Our approach can be applied in monolingual, multilingual and cross-lingual settings and is able to produce dependencybased and span-based SRL annotations. We benchmark the labeling performance of our model in different monolingual and multilingual settings using well-known SRL datasets. We then train our model in a cross-lingual setting to generate new SRL labeled data. Finally, we measure the effectiveness of our method by using the generated data to augment the training basis for resource-poor languages and perform manual evaluation to show that it produces high-quality sentences and assigns accurate semantic role annotations. Our proposed architecture offers a flexible method for leveraging SRL data in multiple languages.
Narratives 2.0. A Multi-dimensional approach to semi-public storytelling in WhatsApp voice messages
(2019)
Based on a corpus of voice message narratives in German WhatsApp group chats, the present study contributes to research on social media storytelling in that it focusses on stories of personal experience which are embedded in a communication platform which favours a continuous dialogic exchange, narrated to well-defined non-anonymous publics and multimodal (comprised of visual and audible posting types). To capture the characteristics of this type of social media storytelling, the paper argues that Ochs and Capps’ (2001) dimensional model originally developed for conversational narratives (including the dimensions of tellability, tellership, embeddedness, linearity, moral stance) should be expanded by the dimensions of publicness, multimodality and sequencing. The prototype of storytelling in WhatsApp group chats is based on recent personal experiences; it is related by a single teller as an initial, sequentially non-embedded and linearly organised “big package” story (in a single voice message sometimes introduced by a text message containing an abstract); other group members routinely document their evaluative stances in rather conventionalised text message responses in the semi-public group space.
Text corpora come in many different shapes and sizes and carry heterogeneous annotations, depending on their purpose and design. The true benefit of corpora is rooted in their annotation and the method by which this data is encoded is an important factor in their interoperability. We have accumulated a large collection of multilingual and parallel corpora and encoded it in a unified format which is compatible with a broad range of NLP tools and corpus linguistic applications. In this paper, we present our corpus collection and describe a data model and the extensions to the popular CoNLL-U format that enable us to encode it.
Common Crawl is a considerably large, heterogeneous multilingual corpus comprised of crawled documents from the internet, surpassing 20TB of data and distributed as a set of more than 50 thousand plain text files where each contains many documents written in a wide variety of languages. Even though each document has a metadata block associated to it, this data lacks any information about the language in which each document is written, making it extremely difficult to use Common Crawl for monolingual applications. We propose a general, highly parallel, multithreaded pipeline to clean and classify Common Crawl by language; we specifically design it so that it runs efficiently on medium to low resource infrastructures where I/O speeds are the main constraint. We develop the pipeline so that it can be easily reapplied to any kind of heterogeneous corpus and so that it can be parameterised to a wide range of infrastructures. We also distribute a 6.3TB version of Common Crawl, filtered, classified by language, shuffled at line level in order to avoid copyright issues, and ready to be used for NLP applications.
Nearly all of the very large corpora of English are “static”, which allows a wide range of one-time, pre-processed data, such as collocates. The challenge comes with large “dynamic” corpora, which are updated regularly, and where preprocessing is much more difficult. This paper provides an overview of the NOW corpus (News on the Web), which is currently 8.2 billion words in size, and which grows by about 170 million words each month. We discuss the architecture of NOW, and provide many examples that show how data from NOW can (uniquely) be extracted to look at a wide range of ongoing changes in English.
As the Web ought to be considered as a series of sources rather than as a source in itself, a problem facing corpus construction resides in meta-information and categorization. In addition, we need focused data to shed light on particular subfields of the digital public sphere. Blogs are relevant to that end, especially if the resulting web texts can be extracted along with metadata and made available in coherent and clearly describable collections.
The present thesis investigates the syntagmatic relations of certain Finnish emotion verbs that are formed by the derivational suffix -ua/-yä (e.g. suuttua ‘get angry’, pelästyä ‘get frightened’). Prototypically, the suffix expresses reflexivity, but in the case of the “inchoative” emotion verbs, it indicates a change of state on behalf of the experiencer, from a non-emotional state to an emotional state.
Both compounds and multi-word expressions are complex lexical units, made up of at least two constituents. The most basic difference is that the former are morphological objects and the latter result from syntactic processes. However, the exact demarcation between compounds and multi-word expressions differs greatly from language to language and is often a matter of debate in and across languages. Similarly debated is whether and how these two different kinds of units complement or compete with each other.
The volume presents an overview of compounds and multi-word expressions in a variety of European languages. Central questions that are discussed for each language concern the formal distinction between compounds and multi-word expressions, their formation and their status in lexicon and grammar.
The volume contains chapters on German, English, Dutch, French, Italian, Spanish, Greek, Russian, Polish, Finnish, and Hungarian as well as a contrastive overview with a focus on German. It brings together insights from word-formation theory, phraseology and theory of grammar and aims to contribute to the understanding of the lexicon, both from a language-specific and cross-linguistic perspective.