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Verbs semantics and lexical selection

Authors:

Zhibiao Wu and

Martha PalmerAuthors Info & Claims

ACL '94: Proceedings of the 32nd annual meeting on Association for Computational Linguistics

June 1994

Pages 133 - 138

https://doi.org/10.3115/981732.981751

Published: 27 June 1994 Publication History

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Abstract

This paper will focus on the semantic representation of verbs in computer systems and its impact on lexical selection problems in machine translation (MT). Two groups of English and Chinese verbs are examined to show that lexical selection must be based on interpretation of the sentences as well as selection restrictions placed on the verb arguments. A novel representation scheme is suggested, and is compared to representations with selection restrictions used in transfer-based MT. We see our approach as closely aligned with knowledge-based MT approaches (KBMT), and as a separate component that could be incorporated into existing systems. Examples and experimental results will show that, using this scheme, inexact matches can achieve correct lexical selection.

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ACL '94: Proceedings of the 32nd annual meeting on Association for Computational Linguistics

June 1994

353 pages

Program Chair:
James Pustejovsky
Brandeis University

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Association for Computational Linguistics

United States

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Published: 27 June 1994

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Mapping lexical entries in a verbs database to WordNet senses

Target word selection for korean verbs using a bilingual dictionary and wordnet

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