Oxygen: A language independent linearization engine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationEnvisioning Machine Translation in the Information Future - 4th Conference of the Association for Machine Translation in the Americas, AMTA 2000, Proceedings
EditorsJohn S. White
PublisherSpringer Verlag
Pages68-79
Number of pages12
ISBN (Print)3540411178, 9783540411178
DOIs
StatePublished - 2000
Event4th Conference of the Association for Machine Translation in the Americas, AMTA 2000 - Cuernavaca, Mexico
Duration: Oct 10 2000Oct 14 2000

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume1934
ISSN (Print)0302-9743

Other

Other4th Conference of the Association for Machine Translation in the Americas, AMTA 2000
CountryMexico
CityCuernavaca
Period10/10/0010/14/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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