Building Domain-specific Corpora from the Web: the Case of European Digital Service Infrastructures

no code implementations • LREC (BUCC) 2022 • Rik van Noord, Cristian García-Romero, Miquel Esplà-Gomis, Leopoldo Pla Sempere, Antonio Toral

An important goal of the MaCoCu project is to improve EU-specific NLP systems that concern their Digital Service Infrastructures (DSIs).

Machine Translation Zero-Shot Learning

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.

Smart Bilingual Focused Crawling of Parallel Documents

no code implementations • 23 May 2024 • Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez

Crawling parallel texts $\unicode{x2014}$texts that are mutual translations$\unicode{x2014}$ from the Internet is usually done following a brute-force approach: documents are massively downloaded in an unguided process, and only a fraction of them end up leading to actual parallel content.