WASP-Bench: an MT lexicographers’ workstation supporting state-of-the-art lexical disambiguation

Adam Kilgarriff, David Tugwell


Abstract
Most MT lexicography is devoted to developing rules of the kind, “in context C, translate source-language word S as target-language word T”. Very many such rules are required, producing them is laborious, and MT companies standardly spend large sums on it. We present the WASP-Bench, a lexicographer's workstation for the rapid and semi-automatic development of such rule-sets. The WASP-Bench makes use of a large source-language corpus and state-of-the-art techniques for Word Sense Disambiguation. We show that the WSD accuracy is on a par with the best results published to date, with the advantage that the WASP-Bench, unlike other high- performance systems, does not require a sense-disambiguated training corpus as input. The WASP-Bench is designed to fit readily with MT companies' working practices, as it may be used for as many or as few source language words as present disambiguation problems for a given target.
Anthology ID:
2001.mtsummit-papers.34
Volume:
Proceedings of Machine Translation Summit VIII
Month:
September 18-22
Year:
2001
Address:
Santiago de Compostela, Spain
Editor:
Bente Maegaard
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MTSummit
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URL:
https://aclanthology.org/2001.mtsummit-papers.34
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Cite (ACL):
Adam Kilgarriff and David Tugwell. 2001. WASP-Bench: an MT lexicographers’ workstation supporting state-of-the-art lexical disambiguation. In Proceedings of Machine Translation Summit VIII, Santiago de Compostela, Spain.
Cite (Informal):
WASP-Bench: an MT lexicographers’ workstation supporting state-of-the-art lexical disambiguation (Kilgarriff & Tugwell, MTSummit 2001)
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https://aclanthology.org/2001.mtsummit-papers.34.pdf