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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
Nonnative accents are prevalent in our globalized world and constitute highly salient cues in social perception. Whereas previous literature has commonly assumed that they cue specific social group stereotypes, we propose that nonnative accents generally trigger spontaneous negatively biased associations (due to a general nonnative accent category and perceptual influences). Accordingly, Study 1 demonstrates negative biases with conceptual IATs, targeting the general concepts of accent versus native speech, on the dimensions affect, trust, and competence, but not on sociability. Study 2 attests to negative, largely enhanced biases on all dimensions with auditory IATs comprising matched native–nonnative speaker pairs for four accent types. Biases emerged irrespective of the accent types that differed in attractiveness, recognizability of origin, and origin-linked national associations. Study 3 replicates general IAT biases with an affect IAT and a conventional evaluative IAT. These findings corroborate our hypotheses and assist in understanding general negativity toward nonnative accents.
MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide standalone learning experience. It uses grammar-based lessons and embraces methods of gamification to improve the learner motivation. The main type of exercise provided by our application is to practice translation, but it is also possible to shift the focus to vocabulary or morphology training.
We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability. Currently the application aims to augment existing language classes and support students by improving the learner attitude and the general learning outcome. Extensions beyond that scope are promising and likely to be added in the future.
Controlled Natural Languages (CNLs) have many applications including document authoring, automatic reasoning on texts and reliable machine translation, but their application is not limited to these areas. We explore a new application area of CNLs, the use of CNLs in computer-assisted language learning. In this paper we present a a web application for language learning using CNLs as well as a detailed description of the properties of the family of CNLs it uses.
We present WOMBAT, a Python tool which supports NLP practitioners in accessing word embeddings from code. WOMBAT addresses common research problems, including unified access, scaling, and robust and reproducible preprocessing. Code that uses WOMBAT for accessing word embeddings is not only cleaner, more readable, and easier to reuse, but also much more efficient than code using standard in-memory methods: a Python script using WOMBAT for evaluating seven large word embedding collections (8.7M embedding vectors in total) on a simple SemEval sentence similarity task involving 250 raw sentence pairs completes in under ten seconds end-to-end on a standard notebook computer.
As open class repair initiators (OCRIs, e.g., “what” or “huh”) do not specify the type of repairable, choosing an adequate repair format in the next turn becomes a practical problem for the participants. Whereas in monolingual/L1 speaker conversations participants typically orient towards troubles caused by reduced acoustic intelligibility or by topical/sequential disjunction, in multilingual/L2 interactions possible problems regarding asymmetric language choices and skills can be added – and might be responded to accordingly. Based on videotaped international business meetings and interactions at a customs post, this paper investigates various open class and embodied other-initiations of repair. By means of a conversation analytical and multimodal approach to social interaction, this contribution focuses first on instances of audible OCRIs and illustrates that they are accompanied by embodied conduct. Second, two types of embodied other-initiation of repair are scrutinized: a lifted eyebrows/head display and a freeze display in which movements are suspended. The analysis shows that participants treat these as referring either to troubles in hearing (display 1) or to troubles in understanding the linguistic format (display 2). This leads to the formulation of further desiderata and analytical challenges regarding the multimodal other-initiation of repair in general and in professional international settings in particular.
This study investigates the language used by six German Gangsta rappers to establish and maintain their identity and authenticity as rappers, in songs released between 2015 and 2016. Gangsta rap is a subgenre of Hip-Hop that emphasises ‘the rappers’ street credibility in texts describing tough [urban] neighbourhoods, violence, misogyny, and the achievement of material wealth’ (Bower 379). The culture of Gangsta rap attracts overwhelmingly negative mainstream media coverage (Muggs; Roper) and is often accused of corrupting ‘standard’ language (Krummheuer). The lyrical content of the songs is indeed controversial and has been previously covered by many academics (Byrd; Littlejohn and Putnam; Bower; Rollefson), as has the emergence of Hip-Hop in Germany (Elflein; Pennay; Nitzsche and Grünzweig).
This paper aims to describe different patterns of syntactic extensions of turns-at-talk in mundane conversations in Czech. Within interactional linguistics, same-speaker continuations of possibly complete syntactic structures have been described for typologically diverse languages, but have not yet been investigated for Slavic languages. Based on previously established descriptions of various types of extensions (Vorreiter 2003; Couper-Kuhlen & Ono 2007), our initial description shall therefore contribute to the cross-linguistic exploration of this phenomenon. While all previously described forms for continuing a turn-constructional unit seem to exist in Czech, some grammatical features of this language (especially free word order and strong case morphology) may lead to problems in distinguishing specific types of syntactic extensions. Consequently, this type of language allows for critically evaluating the cross-linguistic validity of the different categories and underlines the necessity of analysing syntactic phenomena within their specific action contexts.