A Framework for MT and Multilingual NLG Systems Based on Uniform Lexico-Structural Processing

نویسندگان

  • Benoit Lavoie
  • Richard I. Kittredge
  • Tanya Korelsky
  • Owen Rambow
چکیده

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.

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تاریخ انتشار 2000