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Blast: A Tool for Error Analysis of Machine Translation Output
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
2011 (English)In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, system demonstrations / [ed] Sadao Kurohashi, Association for Computational Linguistics, 2011, 56-61 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present BLAST, an open source tool for error analysis of machine translation (MT) output. We believe that error analysis, i.e., to identify and classify MT errors, should be an integral part of MT development, since it gives a qualitative view, which is not obtained by standard evaluation methods. BLAST can aid MT researchers and users in this process, by providing an easy-to-use graphical user interface. It is designed to be flexible, and can be used with any MT system, language pair, and error typology. The annotation task can be aided by highlighting similarities with a reference translation.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2011. 56-61 p.
Keyword [en]
Machine translation, error analysis, MT evalutaion
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics) Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-70125ISBN: 9781932432909 (print)OAI: oai:DiVA.org:liu-70125DiVA: diva2:435692
Conference
The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, system demonstrations
Available from: 2011-08-19 Created: 2011-08-19 Last updated: 2017-03-20

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http://aclweb.org/anthology-new/P/P11/P11-4010.pdf

Authority records BETA

Stymne, Sara

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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