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Báo cáo khoa học: "A PARAMETERIZED APPROACH TO INTEGRATING ASPECT WITH LEXICAL-SEMANTICS FOR MACHINE TRANSLATION"

This paper discusses how a two-level knowledge representation model for machine translation integrates aspectual information with lexical-semantic information by means of parameterization. The integration of aspect with lexical-semantics is especially critical in machine translation because of the lexical selection and aspectual realization processes that operate during the production of the target-language sentence: there are often a large number of lexical and aspectual possibilities to choose from in the production of a sentence from a lexical semantic representation. . | A PARAMETERIZED APPROACH TO INTEGRATING ASPECT WITH LEXICAL-SEMANTICS FOR MACHINE TRANSLATION Bonnie J. Dorr Institute for Advanced Computer Studies A.v. Williams Building University of Maryland College Park MD 20742 bonnie@umiacs.umd.edu ABSTRACT This paper discusses how a two-level knowledge representation model for machine translation integrates aspectual information with lexical-semantic information by means of parameterization. The integration of aspect with lexical-semantics is especially critical in machine translation because of the lexical selection and aspectual realization processes that operate during the production of the target-language sentence there are often a large number of lexical and aspectual possibilities to choose from in the production of a sentence from a lexical semantic representation. Aspectual information from the source-language sentence constrains the choice of target-language terms. In turn the targetlanguage terms limit the possibilities for generation of aspect. Thus there is a two-way communication channel between the two processes. This paper will show that the selection realization processes may be parameterized so that they operate uniformly across more than one language and it will describe how the parameterbased approach is currently being used as the basis for extraction of aspectual information from corpora. INTRODUCTION This paper discusses how the two-level knowledge representation model for machine translation presented by Dorr 1991 integrates aspectual information with lexical-semantic information by means of parameterization. The parameter-based approach borrows certain ideas from previous work such as the lexical-semantic model of Jackendoff 1983 1990 and models of aspectual representation including Bach 1986 Comrie 1976 Dowty 1979 Mourelatos 1981 Passonneau 1988 Pustejovsky 1988 1989 1991 and Vendler 1967 . However unlike previous work the current approach examines aspectual considerations within the context of .