Leif Grönqvist

Annotations and tools for an activity based Spoken Language Corpus

The paper contains a description of the Spoken Language Corpus of Swedish at the Department of Linguistics, Goteborg University (GSLC), and a summary of the various types of analysis and tools that have been developed for work on this corpus. Work on the corpus was started in the late 1970:s. It is incrementally growing and presently consists of 1.3 million words from about 25 different social activities. The corpus was initiated to meet a growing interest in naturalistic spoken language data. It is based on the fact that spoken language varies considerably in different social activities with regard to pronunciation, vocabulary, grammar and communicative functions. The goal of the corpus is to include spoken language from as many social activities as possible to get a more complete understanding of the role of language and communication in human social life. This type of spoken language corpus is still fairly unique even for English, since many spoken language corpora (certainly for Swedish) have been collected for special purposes, like speech recognition, phonetics, dialectal variation or interaction with a computerized dialog system in a very narrow domain, e.g. (Map Task (Isard and Carletta (1995), TRAINS (Heeman and Allen 1994), Waxholm (Blomerg et al. 1993). Compared to English corpora, the Goteborg corpus is most similar to the Wellington Corpus of Spoken New Zealand English (Holmes, Vine and Johnson 1998), but also has traits in common with the BNC, the London/Lund corpus (Svartvik 1990) and the Danish BySoc corpus (Gregersen 1991, Henrichsen 1997).

Towards multimodal spoken language corpora: TransTool and SyncTool

This paper argues for the usefulness of multimodal spoken language corpora and specifies components of a platform for the creation, maintenance and exploitation of such corpora. Two of the components, which have already been implemented as prototypes, are described in more detail: TransTool and SyncTool. TransTool is a transcription editor meant to facilitate and partially automate the task of a human transcriber, while SyncTool is a tool for aligning the resulting transcriptions with a digitized audio and video recording in order to allow synchronized presentation of different representations (e.g., text, audio, video, acoustic analysis). Finally, a brief comparison is made between these tools and other programs developed for similar purposes.

Tagging spoken language using written language statistics

This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagged corpus of written Swedish, being used to tag a corpus of (transcribed) spoken Swedish. The results indicate that with very little adaptations an accuracy rate of 85% can be achieved, with an accuracy rate for known words of 90%. In addition, two different treatments of pauses were explored but with no significant gain in accuracy under either condition.

Transliteration between spoken language corpora

Transliteration between Spoken Language Corpora : Moving between Danish BySoc and Swedish GSLC