Search Results for author: Gema Ramírez-Sánchez

Found 9 papers, 3 papers with code

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages

no code implementations EAMT 2022 Marta Bañón, Miquel Esplà-Gomis, Mikel L. Forcada, Cristian García-Romero, Taja Kuzman, Nikola Ljubešić, Rik van Noord, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Peter Rupnik, Vít Suchomel, Antonio Toral, Tobias van der Werff, Jaume Zaragoza

We introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages.

The EuroPat Corpus: A Parallel Corpus of European Patent Data

no code implementations LREC 2022 Kenneth Heafield, Elaine Farrow, Jelmer Van der Linde, Gema Ramírez-Sánchez, Dion Wiggins

We present the EuroPat corpus of patent-specific parallel data for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish.

Machine Translation Translation

Bicleaner AI: Bicleaner Goes Neural

1 code implementation LREC 2022 Jaume Zaragoza-Bernabeu, Gema Ramírez-Sánchez, Marta Bañón, Sergio Ortiz Rojas

This paper describes the experiments carried out during the development of the latest version of Bicleaner, named Bicleaner AI, a tool that aims at detecting noisy sentences in parallel corpora.

Binary Classification Machine Translation +2

Human evaluation of web-crawled parallel corpora for machine translation

no code implementations HumEval (ACL) 2022 Gema Ramírez-Sánchez, Marta Bañón, Jaume Zaragoza-Bernabeu, Sergio Ortiz Rojas

Quality assessment has been an ongoing activity of the series of ParaCrawl efforts to crawl massive amounts of parallel data from multilingual websites for 29 languages.

Machine Translation Translation

A New Massive Multilingual Dataset for High-Performance Language Technologies

no code implementations20 Mar 2024 Ona de Gibert, Graeme Nail, Nikolay Arefyev, Marta Bañón, Jelmer Van der Linde, Shaoxiong Ji, Jaume Zaragoza-Bernabeu, Mikko Aulamo, Gema Ramírez-Sánchez, Andrey Kutuzov, Sampo Pyysalo, Stephan Oepen, Jörg Tiedemann

We present the HPLT (High Performance Language Technologies) language resources, a new massive multilingual dataset including both monolingual and bilingual corpora extracted from CommonCrawl and previously unused web crawls from the Internet Archive.

Language Modelling Machine Translation +2

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