Funder
Science Foundation Ireland
FP7 Seventh Framework Programme
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics,Software
Reference30 articles.
1. Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: Proceedings of international conference on learning representations, San Diego, CA, USA, 2015
2. Bentivogli L, Bisazza A, Cettolo M, Federico M (2016) Neural versus phrase-based machine translation quality: a case study. In: Proceedings of the 2016 conference on empirical methods in natural language processing, Austin, Texas, USA, pp 257–267
3. Burchardt A, Macketanz V, Dehdari J, Heigold G, Peter JT, Williams P (2017) A linguistic evaluation of rule-based, phrase-based, and neural MT engines. Prague Bull Math Linguist 108:159–170
4. Callison-Burch C, Fordyce C, Koehn P, Monz C, Schroeder J (2007) (Meta-) evaluation of machine translation. In: Proceedings of the second workshop on statistical machine translation, Prague, Czech Republic, pp 136–158
5. Castilho S, Moorkens J, Gaspari F, Calixto I, Tinsley J, Way A (2017) Is neural machine translation the new state of the art? Prague Bull Math Linguist 108:109–120
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