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Translation Competence in Machines: A Study of Adjectives in English-Swedish Translation
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. (NLPLab, HCS)
2021 (English)In: Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age / [ed] Yuri Bizzoni , Elke Teich, Cristina España-Bonet and Josef van Genabith, 2021, p. 57-65Conference paper, Published paper (Refereed)
Abstract [en]

Recent improvements in neural machinetranslation calls for increased efforts onqualitative evaluations so as to get a betterunderstanding of differences in translationcompetence between human and machine.This paper reports the results of a studyof 1170 adjectives in translation from En-glish to Swedish, using the Parallel Uni-versal Dependencies Treebanks for theselanguages. The comparison covers two di-mensions: the types of solutions employedand the incidence of debatable or incorrecttranslations. It is found that the machinetranslation uses all of the solution typesthat the human translation does, but in dif-ferent proportions and less competently

Place, publisher, year, edition, pages
2021. p. 57-65
Keywords [en]
machine translation, english, swedish, adjectives
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:liu:diva-178804OAI: oai:DiVA.org:liu-178804DiVA, id: diva2:1589125
Conference
First Workshop on Modelling Translation (MoTra21): Translatology in the Digital Age
Available from: 2021-08-30 Created: 2021-08-30 Last updated: 2021-09-09Bibliographically approved

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https://aclanthology.org/2021.motra-1.6

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Ahrenberg, Lars

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Citation style
  • apa
  • 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