Papers by Jelmer van der Linde
A New Massive Multilingual Dataset for High-Performance Language Technologies (2024.lrec-main)
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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
| Challenge: | a new massive multilingual dataset is available for language modeling and machine translation training. |
| Approach: | They present a massive multilingual dataset using web crawls from the Internet Archive and CommonCrawl . they use open-source software tools and high-performance computing to acquire, manage and process large corpora . |
| Outcome: | The HPLT language resources is a massive multilingual dataset . it includes monolingual and bilingual corpora extracted from CommonCrawl and the Internet Archive . the results are published online at the journal journal cense4 . |
The EuroPat Corpus: A Parallel Corpus of European Patent Data (2022.lrec-1)
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| Challenge: | a new corpus of patent-specific parallel data is available for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish. |
| Approach: | They present a patent-specific corpus of parallel data for 6 official European languages paired with English: German, Spanish, French, Croatian, Norwegian, and Polish. |
| Outcome: | The filtered corpus ranges in size from 51 million sentences (Spanish-English) to 154k sentences (Croatian-English), with the unfiltered (raw) corpus being up to 2 times larger. |