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In psychotherapy, therapists often formulate interpretations of clients' prior talk which are ‘unilateral’ in the sense that therapists index that they are themselves the author of an interpretive inference which may not be acceptable to the client. Based on 100 German-language recordings of brief psychodynamic psychotherapy (4 clients with 25 sessions each), we describe a multimodal practice of constructing extended multi-unit turns of delivering therapeutic interpretations. The practice includes gaze aversion until the main point of the interpretation is reached, perceptive and cognitive formulae, epistemic hedges, inserted accounts, parenthesis, self-repair, and self-reformulations. These design-features work together to index that the therapist produces an interpretation that can be heard as being tentative. The design of the therapists' turns reflexively indexes the expectation that the client might resist the interpretation; at the same time they are constructed to avoid resistance and to invite the client's self-exploration into new directions, often with a focus on emotions.
This special issue investigates early responses—responsive actions that (start to) unfold while the production of the responded-to turn and action is still under way. Although timing in human conduct has gained intense interest in research, the early production of responsive actions has so far largely remained unexplored. But what makes early responses possible? What do such responses tell us about the complex interplay between syntax, prosody, and embodied conduct? And what sorts of actions do participants accomplish by means of such early responses? By addressing these questions, the special issue seeks to offer new advances in the systematic analysis of temporal organization in interaction, contributing to broader discussions in the language and cognitive sciences as to the social coordination of human conduct. In this introductory article, we discuss the role of temporality and sequentiality in social interaction, specifically focusing on projective and anticipatory mechanisms and the interplay between multiple semiotic resources, which are crucial for making early responses possible.
We present empirical evidence of the communicative utility of conventionalization, i.e., convergence in linguistic usage over time, and diversification, i.e., linguistic items acquiring different, more specific usages/meanings. From a diachronic perspective, conventionalization plays a crucial role in language change as a condition for innovation and grammaticalization (Bybee, 2010; Schmid, 2015) and diversification is a cornerstone in the formation of sublanguages/registers, i.e., functional linguistic varieties (Halliday, 1988; Harris, 1991). While it is widely acknowledged that change in language use is primarily socio-culturally determined pushing towards greater linguistic expressivity, we here highlight the limiting function of communicative factors on diachronic linguistic variation showing that conventionalization and diversification are associated with a reduction of linguistic variability. To be able to observe effects of linguistic variability reduction, we first need a well-defined notion of choice in context. Linguistically, this implies the paradigmatic axis of linguistic organization, i.e., the sets of linguistic options available in a given or similar syntagmatic contexts. Here, we draw on word embeddings, weakly neural distributional language models that have recently been employed to model lexical-semantic change and allow us to approximate the notion of paradigm by neighbourhood in vector space. Second, we need to capture changes in paradigmatic variability, i.e. reduction/expansion of linguistic options in a given context. As a formal index of paradigmatic variability we use entropy, which measures the contribution of linguistic units (e.g., words) in predicting linguistic choice in bits of information. Using entropy provides us with a link to a communicative interpretation, as it is a well-established measure of communicative efficiency with implications for cognitive processing (Linzen and Jaeger, 2016; Venhuizen et al., 2019); also, entropy is negatively correlated with distance in (word embedding) spaces which in turn shows cognitive reflexes in certain language processing tasks (Mitchel et al., 2008; Auguste et al., 2017). In terms of domain we focus on science, looking at the diachronic development of scientific English from the 17th century to modern time. This provides us with a fairly constrained yet dynamic domain of discourse that has witnessed a powerful systematization throughout the centuries and developed specific linguistic conventions geared towards efficient communication. Overall, our study confirms the assumed trends of conventionalization and diversification shown by diachronically decreasing entropy, interspersed with local, temporary entropy highs pointing to phases of linguistic expansion pertaining primarily to introduction of new technical terminology.
This study investigates how driving school instructors adapt their instructions to constraints and affordances of different activity types. Adopting a Conversation Analytic approach and building on a comparative corpus of theoretical and practical driving lessons in German, it compares sequences of instructions of the execution of the “shoulder check” (i.e., checking the blind spot) in stationary theoretical versus mobile practical driving lessons. In theoretical lessons, the instructor uses vivid and humorous embodied instructions. In practical driving lessons, the instructor orients to the complex multi‐activity and delivers instructions in a succinct manner, considering the students’ previous knowledge and the embeddedness into the global tasks. The paper shows how instructional practices are sensitive to contextual contingencies which they reflect and treat by their situated design.
Alleviating pain is good and abandoning hope is bad. We instinctively understand how words like alleviate and abandon affect the polarity of a phrase, inverting or weakening it. When these words are content words, such as verbs, nouns, and adjectives, we refer to them as polarity shifters. Shifters are a frequent occurrence in human language and an important part of successfully modeling negation in sentiment analysis; yet research on negation modeling has focused almost exclusively on a small handful of closed-class negation words, such as not, no, and without. A major reason for this is that shifters are far more lexically diverse than negation words, but no resources exist to help identify them. We seek to remedy this lack of shifter resources by introducing a large lexicon of polarity shifters that covers English verbs, nouns, and adjectives. Creating the lexicon entirely by hand would be prohibitively expensive. Instead, we develop a bootstrapping approach that combines automatic classification with human verification to ensure the high quality of our lexicon while reducing annotation costs by over 70%. Our approach leverages a number of linguistic insights; while some features are based on textual patterns, others use semantic resources or syntactic relatedness. The created lexicon is evaluated both on a polarity shifter gold standard and on a polarity classification task.