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Oxygen: A Language Independent Linearization Engine

  • Nizar Habash
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1934)

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.

Keywords

Machine Translation Grammar Rule Word Lattice Thematic Hierarchy Referential Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Nizar Habash
    • 1
  1. 1.Institute for Advanced Computer StudiesUniversity of Maryland College Park

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