Computerlinguistik
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This paper describes EXMARaLDA, a system for computer transcription of spoken discourse developed and used by the SFB "Mehrsprachigkeit" at the university of Hamburg. EXMARaLDA consists of several DTDs for XML coding of transcription data and some input and output tools for these formats. Apart from being a transcription system in its own right, EXMARaLDA also plays the role of a mediator between older existing data formats at the SFB and between these formats and a planned database of multilingual spoken discourse.
EXMARaLDA is a system for computer transcription of spoken discourse that is being developed at the SFB ‚Mehrsprachigkeit’ as a basis of a multilingual discourse database into which the transcriptions in use at the SFB will be integrated at a later point in time. The present paper describes the theoretical background of the development – a formal model of discourse transcription based on the annotation graph formalism (Bird/Liberman (2001)) – and its practical realisation in the form of an XML-based data format and several tools for input, output and manipulation of the data.
We define collaborative commentary as the involvement of a research community in the interpretive annotation of electronic records. The goal of this process is the evaluation of competing theoretical claims. The process requires commentators to link their comments and related evidentiary materials to specific segments of either transcripts or electronic media. Here, we examine current work in the construction of technical methods for facilitating collaborative commentary through browser technology. To illustrate the relevance of this approach, we examine seven spoken language database projects that have reached a level of web-based publication that makes them good candidates as targets of collaborative commentary technology. For each database, we show how collaborative commentary can advance the relevant research agendas.
This paper attempts a new look at computer assisted transcription as it is commonly practised within the fields of discourse analysis and language acquisition studies. The first part proposes a bridge between discourse analytical methodology and text technological methods with the concept of modelling as its central idea. The second part demonstrates the EXMARaLDA system, a set of formats and tools for computer assisted transcription that builds on the ideas developed in the first part and implements them in a way that can lead to significant improvement in current research practice.
This paper presents the Kicktionary, a multilingual (English — German - French) electronic lexical resource of the language of football. It explains how a corpus of football match reports was analysed according to the FrameNet and WordNet approaches and how the result of this analysis is presented to a dictionary user via a website
This paper describes EXMARaLDA, an XML-based framework for the construction, dissemination and analysis of corpora of spoken language transcriptions. Departing from a prototypical example of a “partitur” (musical score) transcription, the EXMARaLDA “single timeline, multiple tiers” data model and format is presented alongside with the EXMARaLDA Partitur-Editor, a tool for inputting and visualizing such data. This is followed by a discussion of the interaction of EXMARaLDA with other frameworks and tools that work with similar data models. Finally, this paper presents an extension of the “single timeline, multiple tiers” data model and describes its application within the EXMARaLDA system.
Rescuing Legacy Data
(2008)
This paper discusses issues that arise in the transformation of electronic language data from outdated to modern, sustainable formats. We first describe the problem and then present four different cases in which corpora of spoken language were converted from legacy formats to an XML-based representation. For each of the four cases, we describe the conversion workflow and discuss the difficulties that we had to overcome. Based on this experience, we formulate some more general observations about transforming legacy data and conclude with a set of best practice recommendations for a more sustainable handling of language corpora.