Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution

Details Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution Using a Probabilistic Class-Based Lexicon for Lexical Ambiguity Resolution

2000-08-30

arxiv.org/abs/cs/0008035v1

Proceedings of the 18th COLING, 2000

Computer Science

Computation and Language

7 pages, uses colacl.sty

Scientific paper

This paper presents the use of probabilistic class-based lexica for disambiguation in target-word selection. Our method employs minimal but precise contextual information for disambiguation. That is, only information provided by the target-verb, enriched by the condensed information of a probabilistic class-based lexicon, is used. Induction of classes and fine-tuning to verbal arguments is done in an unsupervised manner by EM-based clustering techniques. The method shows promising results in an evaluation on real-world translations.

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