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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 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 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).
Since Lerner coined the notion of delayed completion in 1989, this recurrent social practice of continuing one’s speaking turn while disregarding an intermediate co-participant’s utterance has not been investigated with regard to embodied displays and actions. A sequential approach to videotaped mundane conversations in German will explain the occurrence and use of delayed completions. First, especially in multi-party and multi-activity settings, delayed completions can result from reduced monitoring and coordinating activities. Second, recipients can use intra-turn response slots for more extended responsive actions than the current speaker initially projected, leading to delayed completion sequences. Finally, delayed completions are used for blocking possibly misaligned co-participant actions. The investigation of visible action illustrates that delayed completions are a basic practice for retrospectively managing co-participant response slots.
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.
Aversion to loanwords may express itself in various ways: deliberate and motivated by ideology of linguistic purism or more implicit and motivated by the strength of one’s national identification and ethnolinguistic vitality. A study of Polish philology students assessed their tendency to choose loanwords versus synonymous native words. The results supported a two-path model of linguistic purism. Social identity (strength of identification) directly predicted avoidance of loanwords, whereas ideological concerns (conservative political views) predicted it indirectly, through purist ideology.