Enhancing Automatic Acquisition of the Thematic Structure in a Large-Scale Lexicon for Mandarin Chinese

Authors:
Mari Broman Olsen;Bonnie J. Dorr;Scott C. Thomas
Affiliations:
-;-;-
Venue:
AMTA '98 Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup
Year:
1998

Citing 3
Cited 1

Large-Scale Dictionary Construction for ForeignLanguage Tutoring and Interlingual Machine Translation

Machine Translation
Lexical Selection for Cross-Language Applications: Combining LCS with WordNet

AMTA '98 Proceedings of the Third Conference of the Association for Machine Translation in the Americas on Machine Translation and the Information Soup
Large-scale acquisition of LCS-based lexicons for foreign language tutoring

ANLC '97 Proceedings of the fifth conference on Applied natural language processing

Building a Chinese-English Mapping between Verb Concepts for Multilingual Applications

AMTA '00 Proceedings of the 4th Conference of the Association for Machine Translation in the Americas on Envisioning Machine Translation in the Information Future

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Abstract

This paper describes a refinement to our procedure for porting lexical conceptual structure (LCS) into new languages. Specifically we describe a two-step process for creating candidate thematic grids for Mandarin Chinese verbs, using the English verb heading the VP in the subdefinitions to separate senses, and roughly parsing the verb complement structure to match thematic structure templates. We accomplished a substantial reduction in manual effort, without substantive loss. The procedure is part of a larger process of creating a usable lexicon for interlingual machine translation from a large on-line resource with both too much and too little information.