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We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a draft translation of the document for the user to refer to or modify. This paper describes these modules, with special emphasis on an automatically trained lexicalized grammar used in the parsing module. Some preHminary results from the January 1994 ARPA evaluation are reported.

We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a draft translation of the document for the user to refer to or modify. This paper describes these modules, with special emphasis on an automatically trained lexicalized grammar used in the parsing module. Some preHminary results from the January 1994 ARPA evaluation are reported.

In this paper we present the first implementation of LING-STAT, an interactive machine translation system designed to increase the productivity of a user, with little knowledge of the source language, in translating or extracting information from foreign language documents. In its final form, LING-STAT will make use of statistical information gathered from parallel and single-language corpora, and linguistic information at all levels (lexical, syntactic, and semantic).

We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a draft translation of the document for the user to refer to or modify. This paper describes these modules, with special emphasis on an automatically trained lexicalized grammar used in the parsing module. Some preHminary results from the January 1994 ARPA evaluation are reported.