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A Document-Level SMT System with Integrated Pronoun Prediction
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
2015 (English)In: Proceedings of the Second Workshop on Discourse in Machine Translation (DiscoMT), Stroudsburg, PA: Association for Computational Linguistics, 2015, 72-77 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes one of Uppsala University’s submissions to the pronoun-focused machine translation (MT) shared task at DiscoMT 2015. The system is based on phrase-based statistical MT implemented with the document-level decoder Docent. It includes a neural network for pronoun prediction trained with latent anaphora resolution. At translation time, coreference information is obtained from the Stanford CoreNLP system.

Place, publisher, year, edition, pages
Stroudsburg, PA: Association for Computational Linguistics, 2015. 72-77 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-262366ISBN: 978-1-941643-32-7 (print)OAI: oai:DiVA.org:uu-262366DiVA: diva2:853690
Conference
Second Workshop on Discourse in Machine Translation (DiscoMT), 17 September 2015, Lisbon, Portugal
Available from: 2015-09-14 Created: 2015-09-14 Last updated: 2015-09-23Bibliographically approved

Open Access in DiVA

DiscoMTHardmeierSMT(113 kB)39 downloads
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File name FULLTEXT01.pdfFile size 113 kBChecksum SHA-512
e072e0214929742078caa4195ebf020ba09852e5f4fbb9d152d8e874d578bfbaa221d6c83be3c4541f6d6bca60f897d6acf19c21d162030024b7e67353286a0d
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
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
  • rtf