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Tagging the Teleman Corpus (1995)
| Venue: | in Proc.10 th Nordic Conference of Computational Linguistics |
BibTeX
@INPROCEEDINGS{And95taggingthe,
author = {Thorsten Brants And and Thorsten Brants and Christer Samuelsson},
title = {Tagging the Teleman Corpus},
booktitle = {in Proc.10 th Nordic Conference of Computational Linguistics},
year = {1995},
pages = {1--12}
}
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Abstract
Experiments were carried out comparing the Swedish Teleman and the English Susanne corpora using an HMM-based and a novel reductionistic statistical part-of-speech tagger. They indicate that tagging the Teleman corpus is the more difficult task, and that the performance of the two different taggers is comparable. 1 Introduction The experiments reported in the current article continue a line of research in the field of part-ofspeech tagging using self-organizing models that was presented at the previous (9th) Scandinavian Conference on Computational Linguistics. Then, the well-established HMM-based Xerox tagger, see [Cutting 1994], was compared with some less known taggers, namely a neural-network tagger described in [Eineborg & Gamback 1994], and a Bayesian tagger presented in [Samuelsson 1994]. The Xerox tagger performs lexical generalizations by clustering words based on their distributional patterns, while the latter two utilize the morphological information present in Swedish ...
Keyphrases
teleman corpus scandinavian conference morphological information present well-established hmm-based xerox tagger self-organizing model different tagger difficult task english susanne corpus neural-network tagger distributional pattern bayesian tagger swedish teleman computational linguistics xerox tagger performs lexical generalization eineborg gamback current article novel reductionistic statistical part-of-speech tagger known tagger
