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Comparing machine translation and human translation: A case study
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (NLPLab, HCS)
2017 (English)In: Proceedings of The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT) / [ed] Irina Temnikova, Constantin Orasan, Gloria Corpas and Stephan Vogel, Wolverhampton, UK, 2017, 21-28 p.Conference paper, Published paper (Refereed)
Abstract [en]

As machine translation technology improves comparisons to human performance are often made in quite general and exaggerated terms. Thus, it is important to be able to account for differences accurately. This paper reports a simple, descriptive scheme for comparing translations and applies it to two translations of a British opinion article published in March, 2017. One is a human translation (HT) into Swedish, and the other a machine translation (MT). While the comparison is limited to one text, the results are indicative of current limitations in MT.

Place, publisher, year, edition, pages
Wolverhampton, UK, 2017. 21-28 p.
Keyword [en]
machine translation, translation evaluation, translation procedure
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-141902OAI: oai:DiVA.org:liu-141902DiVA: diva2:1148856
Conference
RANLP 2017: The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT)
Projects
Swe-Clarin
Funder
Swedish Research Council
Available from: 2017-10-12 Created: 2017-10-12 Last updated: 2017-11-08Bibliographically approved

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http://rgcl.wlv.ac.uk/wp-content/uploads/2017/09/06/book.pdf

Authority records BETA

Ahrenberg, Lars

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CiteExportLink to record
Permanent link

Direct link
Cite
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