SMT decoder dissected: Word reordering

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

21 Citations (Scopus)

Abstract

In this paper we describe a decoder for statistical machine translation which allows controlled reordering of the words generated in the target language. After a general discussion of the structure of a decoder a particular implementation is discussed which allows for word-to: word and phrase-to-phrase translation. Word reordering is used to improve the translation quality. We analyze the effect of the length of this reordering window on the search space and the translation quality. Results for Chinese-to-Enghsh and Arabic-to-English translation tasks are presented.

Original languageEnglish
Title of host publicationNLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages561-566
Number of pages6
ISBN (Print)0780379020, 9780780379022
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003 - Beijing, China
Duration: 26 Oct 200329 Oct 2003

Other

OtherInternational Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2003
CountryChina
CityBeijing
Period26/10/0329/10/03

    Fingerprint

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

Cite this

Vogel, S. (2003). SMT decoder dissected: Word reordering. In NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings (pp. 561-566). [1275968] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NLPKE.2003.1275968