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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.
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.
What is a sentient agent?
(2018)
We present ESDexplorer (https://owid.shinyapps.io/ESDexplorer), a browser application which allows the user to explore the data from a large European survey on dictionary use and culture. We built ESDexplorer with several target groups in mind: our cooperation partners, other researchers, and a more general public interested in the results. Also, we present in detail the architecture and technological realisation of the application and discuss some legal aspects of data protection that motivated some architectural choices.
Using the Google Ngram Corpora for six different languages (including two varieties of English), a large-scale time series analysis is conducted. It is demonstrated that diachronic changes of the parameters of the Zipf–Mandelbrot law (and the parameter of the Zipf law, all estimated by maximum likelihood) can be used to quantify and visualize important aspects of linguistic change (as represented in the Google Ngram Corpora). The analysis also reveals that there are important cross-linguistic differences. It is argued that the Zipf–Mandelbrot parameters can be used as a first indicator of diachronic linguistic change, but more thorough analyses should make use of the full spectrum of different lexical, syntactical and stylometric measures to fully understand the factors that actually drive those changes.
Gratitude is argued to have evolved to motivate and maintain social reciprocity among people, and to be linked to a wide range of positive effects—social, psychological and even physical. But is socially reciprocal behaviour dependent on the expression of gratitude, for example by saying ‘thank you’ as in English? Current research has not included cross-cultural elements, and has tended to conflate gratitude as an emotion with gratitude as a linguistic practice, as might appear to be the case in English. Here, we ask to what extent people express gratitude in different societies by focusing on episodes of everyday life where someone seeks and obtains a good, service or support from another, comparing these episodes across eight languages from five continents. We find that expressions of gratitude in these episodes are remarkably rare, suggesting that social reciprocity in everyday life relies on tacit understandings of rights and duties surrounding mutual assistance and collaboration. At the same time, we also find minor cross-cultural variation, with slightly higher rates in Western European languages English and Italian, showing that universal tendencies of social reciprocity should not be equated with more culturally variable practices of expressing gratitude. Our study complements previous experimental and culture-specific research on gratitude with a systematic comparison of audiovisual corpora of naturally occurring social interaction from different cultures from around the world.
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.
This abstract discusses the possibility to adopt a CLARIN Data Protection Code of Conduct pursuant art. 40 of the General Data Protection Regulation. Such a code of conduct would have important benefits for the entire language research community. The final section of this abstract proposes a roadmap to the CLARIN Data Protection Code of Conduct, listing various stages of its drafting and approval procedures.
This is the first book dedicated to the study of the complexities that arise in embodied interaction from the multiplicity of time-scales on which its component processes unfold. It shows in microscopic detail how people synchronize and sequence modal resources such as talk, gaze, gesture, and object-manipulation to accomplish social actions. The studies show that each of these resources has its own temporal trajectory, affordances and restrictions, which enable and constrain the fine-grained work of bodily self-organization and interaction with others. Focusing on extended interactional time scales, some of the contributors investigate ways in which larger interactional episodes and relationships between actions are brought about and how actions build on shared interactional histories. The book makes a strong case for the use of video in the study of social interaction. It proposes an enlarged vision of Conversation Analysis that puts the body and its interactive temporalities center stage.