A method of creating new valency entries |
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Authors: | Sanae Fujita Francis Bond |
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Affiliation: | (1) NTT Natural Language Research Group, NTT Communication Science Laboratories, Nippon Telephone and Telegraph Corporation, Kyoto, Japan |
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Abstract: | Information on subcategorization and selectional restrictions in a valency dictionary is important for natural language processing
tasks such as monolingual parsing, accurate rule-based machine translation and automatic summarization. In this paper we present
an efficient method of assigning valency information and selectional restrictions to entries in a bilingual dictionary, based
on information in an existing valency dictionary. The method is based on two assumptions: words with similar meaning have
similar subcategorization frames and selectional restrictions; and words with the same translations have similar meanings.
Based on these assumptions, new valency entries are constructed for words in a plain bilingual dictionary, using entries with
similar source-language meaning and the same target-language translations. We evaluate the effects of various measures of
semantic similarity. |
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Keywords: | Valency dictionary Bilingual dictionary Similarity Merge |
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