Document-level Neural MT: A Systematic Comparison

Autor: António Lopes, Amin Farajian, M., Rachel Bawden, Michael Zhang, André Martins

Publikováno v: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
22nd Annual Conference of the European Association for Machine Translation
22nd Annual Conference of the European Association for Machine Translation, 2020, Lisboa, Portugal. pp.225-234
HAL
Lopes, A V, Farajian, M A, Bawden, R, Zhang, M & Martins, A F T 2020, Document-level Neural MT: A Systematic Comparison . in Proceedings of the 22nd Annual Conference of the European Association for Machine Translation . Lisboa, Portugal, pp. 225–234, 22nd Annual Conference of the European Association for Machine Translation, 3/11/20 . < https://eamt2020.inesc-id.pt/proceedings-eamt2020.pdf >

International audience; In this paper we provide a systematic comparison of existing and new document-level neural machine translation solutions. As part of this comparison, we introduce and evaluate a document-level variant of the recently proposed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4c18403fc1561ebc38c82cd096d6fd2d
https://hal.archives-ouvertes.fr/hal-02900686/document