Custom neural machine translation

Autor: Gema Ramírez-Sánchez

This chapter gives an overview of the theoretical and practical implications of customizing machine translation (MT) to make it fit for a particular purpose. The chapter is written for readers who have just a basic knowledge of MT, but experts who ar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f40b910a829d4a88e3a0dcc7fc64ce6e

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Autor: Sergio Ortiz Rojas, Marek Strelec, Amir Kamran, Pinzhen Chen, Jaume Zaragoza, William Waites, Kenneth Heafield, Marta Bañón, Philipp Koehn, Hieu Hoang, Leopoldo Pla Sempere, Brian Thompson, Dion Wiggins, Elsa Sarrías, Faheem Kirefu, Gema Ramírez-Sánchez, Mikel L. Forcada, Barry Haddow, Miquel Esplà-Gomis

Publikováno v: Bañón, M, Chen, P, Haddow, B, Heafield, K, Hoang, H, Esplà-Gomis, M, Forcada, M, Kamran, A, Kirefu, F, Koehn, P, Ortiz-Rojas, S, Pla, L, Ramírez-Sánchez, G, Sarrías, E, Strelec, M, Thompson, B, Waites, W, Wiggins, D & Zaragoza, J 2020, ParaCrawl: Web-Scale Acquisition of Parallel Corpora . in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . pp. 4555–4567, 2020 Annual Conference of the Association for Computational Linguistics, Virtual conference, Washington, United States, 5/07/20 . https://doi.org/10.18653/v1/2020.acl-main.417
ACL

We report on methods to create the largest publicly available parallel corpora by crawling the web, using open source software. We empirically compare alternative methods and publish benchmark data sets for sentence alignment and sentence pair filter

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9f4c40d019a0f748816f44701b90ba6
https://hdl.handle.net/20.500.11820/aeb1138d-856e-477a-9ea0-f3ee5900cab1

Abu-MaTran at WMT 2014 Translation Task: Two-step Data Selection and RBMT-Style Synthetic Rules

Autor: Sergio Ortiz Rojas, Antonio Toral, Jorge Ferrández-Tordera, Gema Ramírez-Sánchez, Víctor M. Sánchez-Cartagena, Andy Way, Felipe Sánchez-Martínez, Raphael Rubino

Publikováno v: WMT@ACL

This paper presents the machine translation systems submitted by the AbuMaTran project to the WMT 2014 translation task. The language pair concerned is English‐French with a focus on French as the target language. The French to English translation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c78152bf7c52a54883ec2ab10bcc9232
https://doi.org/10.3115/v1/w14-3319