Human evaluation of web-crawled parallel corpora for machine translation

Autor: Gema Ramírez-Sánchez, Marta Bañón, Jaume Zaragoza-Bernabeu, Sergio Ortiz Rojas

Publikováno v: Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64421f5bbdd53c623ae6d19a820e0cc5
https://doi.org/10.18653/v1/2022.humeval-1.4

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

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

Autor: Víctor M. Sánchez-Cartagena, Sergio Ortiz-Rojas, Marta Bañón, Gema Ramírez

Publikováno v: WMT (shared task)

This paper describes Prompsit Language Engineering’s submissions to the WMT 2018 parallel corpus filtering shared task. Our four submissions were based on an automatic classifier for identifying pairs of sentences that are mutual translations. A se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::35e21c7aa04fa4e3c357d4871b3d53e5
https://doi.org/10.18653/v1/w18-6488

Free/Open-Source Resources in the Apertium Platform for Machine Translation Research and Development

Autor: Sergio Ortiz-Rojas, Mikel L. Forcada, Felipe Sánchez-Martínez, Francis M. Tyers

Publikováno v: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

This paper describes the resources available in the Apertium platform, a free/open-source framework for creating rule-based machine translation systems. Resources within the platform take the form of finite-state morphologies for morphological analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee45304ee7e1b3b7450a216d347b007b
https://doi.org/10.2478/v10108-010-0015-5

Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling

Autor: Raphael Rubino, Tommi A. Pirinen, Miquel Esplà-Gomis, Prokopis Prokopidis, Vassilis Papavassiliou, Sergio Ortiz Rojas, Antonio Toral, Nikola Ljubešić

Publikováno v: WMT@EMNLP

This paper presents the machine translation systems submitted by the Abu-MaTran project for the Finnish‐English language pair at the WMT 2015 translation task. We tackle the lack of resources and complex morphology of the Finnish language by (i) cr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dda3f37dbe3334d45e159f14f107d94f
https://doi.org/10.18653/v1/w15-3022