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MOR Digital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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MORDigital: The Advent of a New Lexicographical Portuguese Project
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In: eLex 2021 - Seventh biennial conference on electronic lexicography ; https://hal.inria.fr/hal-03195362 ; eLex 2021 - Seventh biennial conference on electronic lexicography, Jul 2021, Brno, Czech Republic ; https://elex.link/elex2021/ (2021)
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Ungoliant: An Optimized Pipeline for the Generation of a Very Large-Scale Multilingual Web Corpus
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In: CMLC 2021 - 9th Workshop on Challenges in the Management of Large Corpora ; https://hal.inria.fr/hal-03301590 ; CMLC 2021 - 9th Workshop on Challenges in the Management of Large Corpora, Jul 2021, Limerick / Virtual, Ireland. ⟨10.14618/ids-pub-10468⟩ ; https://www.cl2021.org/ (2021)
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Abstract:
International audience ; Since the introduction of large language models in Natural Language Processing, large raw corpora have played a crucial role in Computational Linguistics. However, most of these large raw corpora are either available only for English or not available to the general public due to copyright issues. Nevertheless, there are some examples of freely available multilingual corpora for training Deep Learning NLP models, such as the OSCAR and Paracrawl corpora. However, they have quality issues, especially for low-resource languages. Moreover, recreating or updating these corpora is very complex. In this work, we try to reproduce and improve the goclassy pipeline used to create the OSCAR corpus. We propose a new pipeline that is faster, modular, parameterizable, and well documented. We use it to create a corpus similar to OSCAR but larger and based on recent data.Also, unlike OSCAR, the metadata information is at the document level. We release our pipeline under an open source license and publish the corpus under a research-only license.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.inria.fr/hal-03301590/file/Ungoliant___CMLC_9-2.pdf https://doi.org/10.14618/ids-pub-10468 https://hal.inria.fr/hal-03301590/document https://hal.inria.fr/hal-03301590
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Lexicographic Data Seal of Compliance
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In: https://hal.archives-ouvertes.fr/hal-03344267 ; [Research Report] ELEXIS; DARIAH. 2021 (2021)
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Building, Encoding, and Annotating a Corpus of Parliamentary Debates in XML-TEI: A Cross-Linguistic Account
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In: ISSN: 2162-5603 ; EISSN: 2162-5603 ; Journal of the Text Encoding Initiative ; https://halshs.archives-ouvertes.fr/halshs-03097333 ; Journal of the Text Encoding Initiative, TEI Consortium, 2021 (2021)
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Expanding the content model of annotationBlock
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In: Next Gen TEI, 2021 - TEI Conference and Members’ Meeting ; https://hal.archives-ouvertes.fr/hal-03380805 ; Next Gen TEI, 2021 - TEI Conference and Members’ Meeting, Oct 2021, Virtual, United States (2021)
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From disparate disciplines to unity in diversity How the PARTHENOS project has brought European humanities Research Infrastructures together
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In: ISSN: 1753-8548 ; EISSN: 1755-1706 ; International Journal of Humanities and Arts Computing ; https://hal.inria.fr/hal-03402145 ; International Journal of Humanities and Arts Computing, Edinburgh University Press, 2021, 15 (1-2), pp.101-116. ⟨10.3366/ijhac.2021.0264⟩ (2021)
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