Type

Conference Proceedings

Authors

Andy Way
Antonio Toral

Subjects

Linguistics

Topics
machine translating human domain adaptation evaluation metrics languages parallel corpora smt machine translation

Translating literary text between related languages using SMT (2015)

Abstract We explore the feasibility of applying machine translation (MT) to the translation of literary texts. To that end, we measure the translatability of literary texts by analysing parallel corpora and measuring the degree of freedom of the translations and the narrowness of the domain. We then explore the use of domain adaptation to translate a novel between two related languages, Spanish and Catalan. This is the first time that specific MT systems are built to translate novels. Our best system outperforms a strong baseline by 4.61 absolute points (9.38% relative) in terms of BLEU and is corroborated by other automatic evaluation metrics. We provide evidence that MT can be useful to assist with the translation of novels between closely-related languages, namely (i) the translations produced by our best system are equal to the ones produced by a professional human translator in almost 20% of cases with an additional 10% requiring at most 5 character edits, and (ii) a complementary human evaluation shows that over 60% of the translations are perceived to be of the same (or even higher) quality by native speakers.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating

Full list of authors on original publication

Andy Way, Antonio Toral

Experts in our system

1
Andy Way
Dublin City University
Total Publications: 229
 
2
Antonio Toral
Dublin City University
Total Publications: 18