CRATER 2 Corpus

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CRATER 2

ID:

ELRA-W0033

The CRATER corpus was built upon the foundations of an earlier project, ET10/63, which was funded in the final phase of the Eurotra programme. The Corpus Resources and Terminology Extraction project (MLAP-93 20) extended the bilingual annotated English-French International Telecommunications Union corpus produced within ET10/63 to include Spanish.
The CRATER 2 corpus was produced by the Department of Linguistics & Modern English Language, Lancaster University (United Kingdom) with funding from ELRA. The ELRA funding in turn was provided by the European Commission project LRsP&P (Language Resources Production & Packaging - LE4-8335). This project has enhanced the CRATER corpus, available under the reference ELRA-W0003 in the ELRA catalogue. CRATER 2 has significantly expanded the French/English component of the parallel corpus by increasing the size of the English/French corpus from 1,000,000 words per language to approximately 1,500,000 tokens per language.
The offer consists of 1,500,000 tokens for English and French and of 1,000,000 tokens for Spanish, with morphosyntactical annotations (human-edited).
CRATER 2 (ref. ELRA-W0033) includes CRATER (ref. ELRA-W0003).

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Le corpus CRATER a été élaboré sur les bases d'un ancien projet, ET10/63, financé dans le cadre de la phase finale du programme Eurotra. Le projet Corpus Resources and Terminology Extraction (MLAP-93 20) a étendu à l'espagnol le corpus bilingue annoté anglais-français de l'Union Internationale des Télécommunications, produit dans le cadre de ET10/63. Le corpus CRATER 2 a été produit par le département de linguistique et de langue anglaise de l'université de Lancaster (UK), financé par ELRA dans le cadre du projet LRsP&P de la Commission Européenne (LE4-8335).

La ressource CRATER, disponible sous la référence ELRA W0003 dans le catalogue de ressources linguistiques maintenu par ELDA, a été nettement enrichie dans le cadre de ce projet. Dans CRATER 2, le nombre de tokens augmente de 50% pour la partie français-anglais du corpus parallèle, ce qui représente un total 1 500 000 tokens pour chaque langue.

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