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Hybrid Algorithm for Word-Level Alignment of Parallel Texts

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Natural Language Processing and Information Systems (NLDB 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5723))

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Abstract

Given a text in two languages, word alignment task consists of identifying in the two variants of the text specific word occurrences that are mutual translations. The majority of existing text alignment systems follow either a linguistic or a statistical approach. We argue for that both approaches are insufficient when used separately, and suggest a flexible algorithm that combines statistical and linguistic techniques.

Work done under partial support of Mexican Government (SIP-IPN 20091587 and 20090772, CONACYT 50206-H and 83270, SNI, PIFI-IPN).

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References

  1. Borin, L.: You’ll take the high road and i’ll take the low road: Using a third language to improve bilingual word alignment. In: ACL 2000, vol. 1, pp. 97–103 (2000)

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  2. Mihalca, R., Pedersen, T.: An evaluation exercise for word alignment. In: HLT-NAACL 2003 Workshop on Building and using parallel texts, vol. 3, pp. 1–10 (2003)

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Author information

Authors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico

    Eduardo Cendejas, Grettel Barceló, Alexander Gelbukh & Grigori Sidorov

Authors
  1. Eduardo Cendejas
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  2. Grettel Barceló
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  3. Alexander Gelbukh
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  4. Grigori Sidorov
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Editor information

Editors and Affiliations

  1. Institut für Computertechnologie, Technische Universität Wien, A-1040, Wien, Austria

    Helmut Horacek

  2. CNAM- Laboratoire Cédric, 292 Rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

  3. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Campus de San Vincente del Raspeig, Apdo 99, 03080, Alicante, Spain

    Rafael Muñoz

  4. Dept. of Computational Linguistics, Saarland University, Germany

    Magdalena Wolska

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© 2010 Springer-Verlag Berlin Heidelberg

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Cendejas, E., Barceló, G., Gelbukh, A., Sidorov, G. (2010). Hybrid Algorithm for Word-Level Alignment of Parallel Texts. In: Horacek, H., Métais, E., Muñoz, R., Wolska, M. (eds) Natural Language Processing and Information Systems. NLDB 2009. Lecture Notes in Computer Science, vol 5723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12550-8_25

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  • DOI: https://doi.org/10.1007/978-3-642-12550-8_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12549-2

  • Online ISBN: 978-3-642-12550-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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