Open Access

This article reports on a study of instructional interactions in professional training measures for refugees in Germany. These kinds of measures are now widely used in order to prepare refugees for the German labor market. Based on ethnographic fieldwork, the multimodal interaction analysis of video-recorded instructional sequences is used. The study focuses on how problems of mutual understanding appear and develop in these interactions between the German instructors and the refugees. Most of the refugees included in the study have not yet taken part in an "integration course" (which is deemed to support the learning of German as a second language up to level CEFR-B1). Therefore, the study mainly focuses on the instructors' actions, analyzing them in the sequential context of the interaction with the refugees. The study draws on 22 hour video-recordings of practical instructions in workplace settings (wood- and metal-working, and cooking).

In multi-lingual workplace interaction involving L2-speakers with different levels of proficiency, L1-speakers can be seen to use self-translation of their own prior contributions as a repair-practice to restore intersubjectivity. This paper shows that self-translations are produced in three environments: (a) in response to repair-initiation by recipients, (b) in response to inadequate or missing responses, (c) after disaffiliative responses in order to elicit a more favorable uptake. Self-translations therefore are not only used to deal with linguistic understanding problems, but can also use linguistic diversity as a resource for dealing with lack of affiliation and alignment. Self-translations are produced by a switch to the addressee’s L1 or to a lingua franca. They are only partial, being restricted to a translation of the core semantic content of the turn to be translated, thus relying heavily on a shared understanding of the pragmatic context and being designed so as to support interactional progression. Data come from video-taped meetings in Finland involving Finnish and Russian L1-speakers and various kinds of professional trainings in Germany involving instructors with German as L1 and refugees with various linguistic backgrounds.

In request for confirmation (RfC) sequences, interlocutors negotiate their social positions regarding access and rights to knowledge. The article presents an overview of a quantitative analysis of 200 RfCs and their responses in German conversations to highlight the relevant linguistic resources speakers of the language deployed to position themselves vis-à-vis a confirmable proposition. In German RfCs, modal particles and tags play an important role in expressing the requester’s epistemic stance; explicit inference marking is used less frequently. Responses usually include response tokens (among others doch as a token specialized for disconfirming negatively formatted RfCs) and an expansion. The article shows that such expansions do important work to tailor the response to the situated informational needs of the requester in a cooperative way beyond the constraints of type-conformity.

This article introduces the Parallel European Corpus of Informal Interaction (PECII), a multi-language video-corpus of social interactions in a range of informal settings and activity-contexts. After describing the basic motivation for its compilation, the design principles that underlie its composition and the data it contains, we illustrate PECII’s usefulness for comparative Interactional Linguistic (IL) and Conversation Analytic (CA) research. We do this by offering an analytic sketch of the practices people use to initiate turns that interfere with and seek to rectify another’s (problematic) behavior, focusing on their variability across languages and settings/activity-contexts. By maximizing the comparability of interactional data, PECII not only promotes the enhancement of cross-linguistic research in IL, it also opens up new avenues for exploring “cross-situational” variability (so-called “situation design”).

Frequency distributions are known to widely affect psycholinguistic processes. The effects of word frequency in turns-at-talk, the nucleus of social action in conversation, have, by contrast, been largely neglected. This study probes into this gap by applying corpus-linguistic methods on the conversational component of the British National Corpus (BNC) and the Freiburg Multimodal Interaction Corpus (FreMIC). The latter includes continuous pupil size measures of participants of the recorded conversations, allowing for a systematic investigation of patterns in the contained speech and language on the one hand and their relation to concurrent processing costs they may incur in speakers and recipients on the other hand. We test a first hypothesis in this vein, analyzing whether word frequency distributions within turns-at-talk are correlated with interlocutors’ processing effort during the production and reception of these turns. Turns are found to generally show a regular distribution pattern of word frequency, with highly frequent words in turn-initial positions, mid-range frequency words in turn-medial positions, and low-frequency words in turn-final positions. Speakers’ pupil size is found to tend to increase during the course of a turn at talk, reaching a climax toward the turn end. Notably, the observed decrease in word frequency within turns is inversely correlated with the observed increase in pupil size in speakers, but not in recipients, with steeper decreases in word frequency going along with steeper increases in pupil size in speakers. We discuss the implications of these findings for theories of speech processing, turn structure, and information packaging. Crucially, we propose that the intensification of processing effort in speakers during a turn at talk is owed to an informational climax, which entails a progression from high frequency, low-information words through intermediate levels to low-frequency, high- information words. At least in English conversation, interlocutors seem to make use of this pattern as one way to achieve efficiency in conversational interaction, creating a regularly recurring distribution of processing load across speaking turns, which aids smooth turn transitions, content prediction, and effective information transfer.