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This paper presents the prototype of a lexicographic resource for spoken German in interaction, which was conceived within the framework of the LeGeDe-project (LeGeDe=Lexik des gesprochenen Deutsch). First of all, it summarizes the theoretical and methodological approaches that were used for the initial planning of the resource. The headword candidates were selected by analyzing corpus-based data. Therefore, the data of two corpora (written and spoken German) were compared with quantitative methods. The information that was gathered on the selected headword candidates can be assigned to two different sections: meanings and functions in interaction.
Additionally, two studies on the expectations of future users towards the resource were carried out. The results of these two studies were also taken into account in the development of the prototype. Focusing on the presentation of the resource’s content, the paper shows both the different lexicographical information in selected dictionary entries, and the information offered by the provided hyperlinks and external texts. As a conclusion, it summarizes the most important innovative aspects that were specifically developed for the implementation of such a resource.
We present a study on gaps in spoken language interaction as a potential candidate for syntactic boundaries. On the basis of an online annotation experiment, we can show that there is an effect of gap duration and gap type on its likelihood of being a syntactic boundary. We discuss the potential of these findings for an automation of the segmentation process.
This paper formulates a proposal for standardising spoken language transcription, as practised in conversation analysis, sociolinguistics, dialectology and related fields, with the help of the TEI guidelines. Two areas relevant to standardisation are identified and discussed: first, the macro structure of transcriptions, as embodied in the data models and file formats of transcription tools such as ELAN, Praat or EXMARaLDA; second, the micro structure of transcriptions as embodied in transcription conventions such as CA, HIAT or GAT. A two-step process is described in which first the macro structure is represented in a generic TEI format based on elements defined in the P5 version of the Guidelines. In the second step, character data in this representation is parsed according to the regularities of a transcription convention resulting in a more fine-grained TEI markup which is also based on P5. It is argued that this two step process can, on the one hand, map idiosyncratic differences in tool formats and transcription conventions onto a unified representation. On the other hand, differences motivated by different theoretical decisions can be retained in a manner which still allows a common processing of data from different sources. In order to make the standard usable in practice, a conversion tool—TEI Drop—is presented which uses XSL transformations to carry out the conversion between different tool formats (CHAT, ELAN, EXMARaLDA, FOLKER and Transcriber) and the TEI representation of transcription macro structure (and vice versa) and which also provides methods for parsing the micro structure of transcriptions according to two different transcription conventions (HIAT and cGAT). Using this tool, transcribers can continue to work with software they are familiar with while still producing TEI-conformant transcription files. The paper concludes with a discussion of the work needed in order to establish the proposed standard. It is argued that both tool formats and the TEI guidelines are in a sufficiently mature state to serve as a basis for standardisation. Most work consequently remains in analysing and standardising differences between different transcription conventions.
In this paper, we present an overview of freely available web applications providing online access to spoken language corpora. We explore and discuss various solutions with which the corpus providers and corpus platform developers address the needs of researchers who are working with spoken language. The paper aims to contribute to the long-overdue exchange and discussion of methods and best practices in the design of online access to spoken language corpora.
This paper addresses long-term archival for large corpora. Three aspects specific to language resources are focused, namely (1) the removal of resources for legal reasons, (2) versioning of (unchanged) objects in constantly growing resources, especially where objects can be part of multiple releases but also part of different collections, and (3) the conversion of data to new formats for digital preservation. It is motivated why language resources may have to be changed, and why formats may need to be converted. As a solution, the use of an intermediate proxy object called a signpost is suggested. The approach will be exemplified with respect to the corpora of the Leibniz Institute for the German Language in Mannheim, namely the German Reference Corpus (DeReKo) and the Archive for Spoken German (AGD).
The paper presents the results of a joint effort of a group of multimodality researchers and tool developers to improve the interoperability between several tools used for the annotation and analysis of multimodality. Each of the tools has specific strengths so that a variety of different tools, working on the same data, can be desirable for project work. However this usually requires tedious conversion between formats. We propose a common exchange format for multimodal annotation, based on the annotation graph (AG) formalism, which is supported by import and export routines in the respective tools. In the current version of this format the common denominator information can be reliably exchanged between the tools, and additional information can be stored in a standardized way.
This paper presents the results of a joint effort of a group of multimodality researchers and tool developers to improve the interoperability between several tools used for the annotation and analysis of multimodality. Each of the tools has specific strengths so that a variety of differ-ent tools, working on the same data, can be desirable for project work. However this usually re-quires tedious conversion between formats. We propose a common exchange format for multi-modal annotation, based on the annotation graph (AG) formalism, which is supported by import and export routines in the respective tools. In the current version of this format the common de-nominator information can be reliably exchanged between the tools, and additional information can be stored in a standardized way.
This paper discusses computational linguistic methods for the semi-automatic analysis of modality interdependencies (the combination of complex resources such as speaking, writing, and visualizing; MID) in professional crosssituational interaction settings. The overall purpose of the approach is to develop models, methods, and a framework for the description and analysis of MID forms and functions. The paper describes work in progress—the development of an annotation framework that allows annotating different data and file formats at various levels, to relate annotation levels and entries independently of the given file format, and to visualize patterns.