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Announcing CzEng 2.0 Parallel Corpus with over 2 Gigawords

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arxiv 2007.03006 v1 pith:Q7QN5Z4C submitted 2020-07-06 cs.CL

Tom Kocmi , Martin Popel , Ondrej Bojar This is my paper · ORCID
classification cs.CL
keywords czengcorpusparallelcontainsdatagigawordsadditionamount
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We present a new release of the Czech-English parallel corpus CzEng 2.0 consisting of over 2 billion words (2 "gigawords") in each language. The corpus contains document-level information and is filtered with several techniques to lower the amount of noise. In addition to the data in the previous version of CzEng, it contains new authentic and also high-quality synthetic parallel data. CzEng is freely available for research and educational purposes.

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  1. A Comparative Study of Text Retrieval Models on DaReCzech

    cs.IR 2024-11 conditional novelty 4.0 of 10

    A benchmark on the Czech DaReCzech dataset finds Gemma2 most accurate, Contriever least accurate, and SPLADE/PLAID the best efficiency-quality trade-off.

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