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Comparing machine translation and human translation: A case study
Linköpings universitet, Institutionen för datavetenskap, Interaktiva och kognitiva system. Linköpings universitet, Tekniska fakulteten. (NLPLab, HCS)
2017 (engelsk)Inngår i: RANLP 2017 The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT) Proceedings of the Workshop, September 7th, 2017 / [ed] Irina Temnikova, Constantin Orasan, Gloria Corpas and Stephan Vogel, Shoumen, Bulgaria: Association for Computational Linguistics , 2017, s. 21-28Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Shoumen, Bulgaria: Association for Computational Linguistics , 2017. s. 21-28
Emneord [en]
machine translation, translation evaluation, translation procedure
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-141902OAI: oai:DiVA.org:liu-141902DiVA, id: diva2:1148856
Konferanse
RANLP 2017: The First Workshop on Human-Informed Translation and Interpreting Technology (HiT-IT)
Prosjekter
Swe-Clarin
Forskningsfinansiär
Swedish Research CouncilTilgjengelig fra: 2017-10-12 Laget: 2017-10-12 Sist oppdatert: 2025-02-07bibliografisk kontrollert

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Comparing machine translation and human translation: A case study(158 kB)4576 nedlastinger
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