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Document-Wide Decoding for Phrase-Based Statistical Machine Translation
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2012 (English)In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Association for Computational Linguistics, 2012, p. 1179-1190Conference paper, Published paper (Refereed)
Abstract [en]

Independence between sentences is an assumption deeply entrenched in the models and algorithms used for statistical machine translation (SMT), particularly in the popular dynamic programming beam search decoding algorithm. This restriction is an obstacle to research on more sophisticated discourse-level models for SMT. We propose a stochastic local search decoding method for phrase-based SMT, which permits free document-wide dependencies in the models. We explore the stability and the search parameters of this method and demonstrate that it can be successfully used to optimise a document-level semantic language model.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2012. p. 1179-1190
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-189738OAI: oai:DiVA.org:uu-189738DiVA, id: diva2:582223
Conference
Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning; 12-14 July 2012; Jeju Island, Korea
Available from: 2013-01-03 Created: 2013-01-03 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

EMNLP2012(301 kB)266 downloads
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File name FULLTEXT01.pdfFile size 301 kBChecksum SHA-512
783912e3e495dafe6e4c94de787136e2ee005797102397333fb4f939a7535d29b2d395d8b8f85fb4fc8fd45edcbeb6c269fab488142b794b4df933e1b5da4d28
Type fulltextMimetype application/pdf

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Electronic full texthttp://www.aclweb.org/anthology/D12-1108Conference website

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Hardmeier, ChristianNivre, JoakimTiedemann, Jörg
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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