A framework for MT and multilingual NLG systems based on uniform lexico-structural processing

Authors:
Benoit Lavoie;Richard Kittredge;Tanya Korelsky;Owen Rambow
Affiliations:
CoGenTex, Inc., Ithaca, NY;CoGenTex, Inc., Ithaca, NY;CoGenTex, Inc., Ithaca, NY;ATT Labs-Research, Florham Park, NJ
Venue:
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Year:
2000

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Abstract

In this paper we describe an implemented framework for developing monolingual or multilingual natural language generation (NLG) applications and machine translation (MT) applications. The framework demonstrates a uniform approach to generation and transfer based on declarative lexico-structural transformations of dependency structures of syntactic or conceptual levels ("uniform lexico-structural processing"). We describe how this framework has been used in practical NLG and MT applications, and report the lessons learned.