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Speakers’ dialogical orientation to the particular others they talk to is implemented by practices of recipient-design. One such practice is the use of negation as a means to constrain interpretations of speaker’s actions by the partner. The paper situates this use of negation within the larger context of other recipient-designed uses of negation which negate assumptions the speaker makes about what the addressee holds to be true (second-order assumptions) or what the addressee assumes the speaker holds to be true (third- order assumptions). The focus of the study is on the ways in which speakers use negation to disclaim interpretations of their turns which partners have displayed or may possibly arrive at. Special emphasis is given to the positionally sensitive uses of negation, which may occur before, after or inserted between the nucleus actions whose interpretation is constrained by the negation. Interactional motivations and rhetorical potentials of the practice are pointed out, partly depending on the position of the negation vis-à-vis the nucleus action. The analysis shows that the concept of ‘recipient design’ is in need of distinctions which have not been in focus in prior research.
Positioning analysis, a variant of discourse analysis, was used to explore the narratives of 40 psychiatric patients (11 females and 29 males; mean age = 40 years) who had manifest difficulties with engagement with statutory mental health services. Positioning analysis is a qualitative method that captures how people linguistically position the roles and identities of themselves and others in their day-to-day lives and narratives. The language of disengagement incorporated the passive positioning of self in relation to their lives and treatment through the use of metaphor, the passive voice and them and us attribution, while the discourse of engagement incorporated more active positioning of self, achieved through the use of the personal pronoun we and metaphoric references to balanced relationships. The findings corroborate previous thematic analysis that highlighted the importance of identity and agency in the ‘making or breaking’ of therapeutic relationships (Priebe et al. 2005). Implications are discussed in relation to how positioning analysis may help signal and emphasize important life and therapeutic experiences in spoken narratives as well as clinical consultations.
The paper reports the results of the curation project ChatCorpus2CLARIN. The goal of the project was to develop a workflow and resources for the integration of an existing chat corpus into the CLARIN-D research infrastructure for language resources and tools in the Humanities and the Social Sciences (http://clarin-d.de). The paper presents an overview of the resources and practices developed in the project, describes the added value of the resource after its integration and discusses, as an outlook, to what extent these practices can be considered best practices which may be useful for the annotation and representation of other CMC and social media corpora.
This study explores how ‘gatherings’ turn into ‘encounters’ in a virtual world (VW) context. Most communication technologies enable only focused encounters between distributed participants, but in VWs both gatherings and encounters can occur. We present close sequential analysis of moments when after a silent gathering, interaction among participants in a VW is gradually resumed, and also investigate the social actions in the verbal (re-)opening turns. Our findings show that like in face-to-face situations, also in VWs participants often use different types of embodied resources to achieve the transition, rather than rely on verbal means only. However, the transition process in VWs has distinctive characteristics compared to the one in face-to-face situations. We discuss how participants in a VW use virtually embodied pre-beginnings to display what we call encounter-readiness, instead of displaying lack of presence by avatar stillness. The data comprise 40 episodes of video-recorded team interactions in a VW.
This paper focusss on the first Slavonic-Romanian lexicons, compiled in the second half of the 17th century and their use(rs), proposing a method of investigating the manner in which lexical information available in the above corpus relates, if at all, to the vocabulary of texts from the same period. We chose to investigate their relation to an anonymous Old Testament translation made from Church Slavonic, also from the second half of the 17th century, which was supposed to be produced in the same geographical area, in the same Church Slavonic school or even by the same author as the lexicons. After applying a lemmatizer on both the Biblical text (Books of Genesis and Daniel) and the Romanian material from the lexicons, we analyse the results and double the statistical analysis with a series of case studies, focusing on some common lexemes that might be an indicator of the relatedness of the texts. Even if the analysis points out that the lexicons might not have been compiled as a tool for the translation of religious texts, it proves to be a useful method that reveals interesting data and provides the basis for more extensive approaches.
This paper presents the application of the <tiger2/> format to various linguistic scenarios with the aim of making it the standard serialisation for the ISO 24615 [1] (SynAF) standard. After outlining the main characteristics of both the SynAF metamodel and the <tiger2/> format, as extended from the initial Tiger XML format [2], we show through a range of different language families how <tiger2/> covers a variety of constituency and dependency based analyses.
This introductory tutorial describes a strictly corpus-driven approach for uncovering indications for aspects of use of lexical items. These aspects include ‘(lexical) meaning’ in a very broad sense and involve different dimensions, they are established in and emerge from respective discourses. Using data-driven mathematical-statistical methods with minimal (linguistic) premises, a word’s usage spectrum is summarized as a collocation profile. Self-organizing methods are applied to visualize the complex similarity structure spanned by these profiles. These visualizations point to the typical aspects of a word’s use, and to the common and distinctive aspects of any two words.
Ph@ttSessionz and Deutsch heute are two large German speech databases. They were created for different purposes: Ph@ttSessionz to test Internet-based recordings and to adapt speech recognizers to the voices of adolescent speakers, Deutsch heute to document regional variation of German. The databases differ in their recording technique, the selection of recording locations and speakers, elicitation mode, and data processing.
In this paper, we outline how the recordings were performed, how the data was processed and annotated, and how the two databases were imported into a single relational database system. We present acoustical measurements on the digit items of both databases. Our results confirm that the elicitation technique affects the speech produced, that f0 is quite comparable despite different recording procedures, and that large speech technology databases with suitable metadata may well be used for the analysis of regional variation of speech.
There have been several attempts to annotate communicative functions to utterances of verbal feedback in English previously. Here, we suggest an annotation scheme for verbal and non-verbal feedback utterances in French including the categories base, attitude, previous and visual. The data comprises conversations, maptasks and negotiations from which we extracted ca. 13,000 candidate feedback utterances and gestures. 12 students were recruited for the annotation campaign of ca. 9,500 instances. Each instance was annotated by between 2 and 7 raters. The evaluation of the annotation agreement resulted in an average best-pair kappa of 0.6. While the base category with the values acknowledgement, evaluation, answer, elicit and other achieves good agreement, this is not the case for the other main categories. The data sets, which also include automatic extractions of lexical, positional and acoustic features, are freely available and will further be used for machine learning classification experiments to analyse the form-function relationship of feedback.