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Oxygen: A Language Independent Linearization Engine

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Envisioning Machine Translation in the Information Future (AMTA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1934))

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Abstract

This paper describes a language independent linearization engine, oxyGen. This system compiles target language grammars into programs that take feature graphs as inputs and generate word lattices that can be passed along to the statistical extraction module of the generation system Nitrogen. The grammars are written using a flexible and powerful language, oxyL, that has the power of a programming language but focuses on natural language realization. This engine has been used successfully in creating an English linearization program that is currently employed as part of a Chinese-English machine translation system.

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References

  1. Dorr, B., Habash, N. and Traum, D.: A Thematic Hierarchy for Efficient Generation from Lexical-Conceptal Structure. In Proceedings of the Third Conference of the Association for Machine Translation in the Americas (AMTA-98). Langhorne, PA, (1998) 333–343

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Author information

Authors and Affiliations

  1. Institute for Advanced Computer Studies, University of Maryland College Park, MD 20740

    Nizar Habash

Authors
  1. Nizar Habash
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Editor information

Editors and Affiliations

  1. Litton PRC, 1500 PRC Drive, VA 22102, McLean, USA

    John S. White

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© 2000 Springer-Verlag Berlin Heidelberg

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Habash, N. (2000). Oxygen: A Language Independent Linearization Engine. In: White, J.S. (eds) Envisioning Machine Translation in the Information Future. AMTA 2000. Lecture Notes in Computer Science(), vol 1934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39965-8_7

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  • DOI: https://doi.org/10.1007/3-540-39965-8_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41117-8

  • Online ISBN: 978-3-540-39965-0

  • eBook Packages: Springer Book Archive

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