LREC 2000 - Papers

LREC 2000 2^nd International Conference on Language Resources & Evaluation

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Title Towards A Universal Tool For NLP Resource Acquisition

Authors Sheremetyeva Svetlana (Computing Research Laboratory, New Mexico State University, Las Cruces, NM 88003 USA, lana@crl.nmsu.edu)
Nirenburg Sergei (Computing Research Laboratory, New Mexico State University, Las Cruces, NM 88003 USA, sergei@crl.nmsu.edu)

Keywords Knowledge Elicitation, Language Resource, Syntax

Session Session WO11 - Mono-Multilingual Lexicon Acquisition and Building

Abstract This paper describes an approach to developing a universal tool for eliciting, from a non-expert human user, knowledge about any language L. The purpose of this elicitation is rapid development of NLP systems. The approach is described on the example of the syntax module of the Boas knowledge elicitation system for a quick ramp up of a standard transfer-based machine translation system from L into English. The preparation of knowledge for the MT system is carried out into two stages; the acquisition of descriptive knowledge about L and using the descriptive knowledge to derive operational knowledge for the system. Boas guides the acquisition process using data-driven, expectation-driven and goal-driven methodologies.

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Title	Towards A Universal Tool For NLP Resource Acquisition
Authors	Sheremetyeva Svetlana (Computing Research Laboratory, New Mexico State University, Las Cruces, NM 88003 USA, lana@crl.nmsu.edu) Nirenburg Sergei (Computing Research Laboratory, New Mexico State University, Las Cruces, NM 88003 USA, sergei@crl.nmsu.edu)
Keywords	Knowledge Elicitation, Language Resource, Syntax
Session	Session WO11 - Mono-Multilingual Lexicon Acquisition and Building
Abstract	This paper describes an approach to developing a universal tool for eliciting, from a non-expert human user, knowledge about any language L. The purpose of this elicitation is rapid development of NLP systems. The approach is described on the example of the syntax module of the Boas knowledge elicitation system for a quick ramp up of a standard transfer-based machine translation system from L into English. The preparation of knowledge for the MT system is carried out into two stages; the acquisition of descriptive knowledge about L and using the descriptive knowledge to derive operational knowledge for the system. Boas guides the acquisition process using data-driven, expectation-driven and goal-driven methodologies.