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Towards a Cleaner Document-Oriented Multilingual Crawled Corpus ...
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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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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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MORDigital ; The advent of a new lexicographical portuguese project
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Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus ...
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Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ...
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Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ...
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Establishing a New State-of-the-Art for French Named Entity Recognition
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02617950 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
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In: LREC 2020 - 12th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-02618067 ; LREC 2020 - 12th Language Resources and Evaluation Conference, May 2020, Marseille, France ; http://www.lrec-conf.org (2020)
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CamemBERT: a Tasty French Language Model
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In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02889805 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. ⟨10.18653/v1/2020.acl-main.645⟩ (2020)
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A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages
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In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02863875 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. ⟨10.18653/v1/2020.acl-main.156⟩ ; https://acl2020.org (2020)
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Abstract:
International audience ; We use the multilingual OSCAR corpus, extracted from Common Crawl via language classification, filtering and cleaning, to train monolingual contextualized word embeddings (ELMo) for five mid-resource languages. We then compare the performance of OSCAR-based and Wikipedia-based ELMo embeddings for these languages on the part-of-speech tagging and parsing tasks. We show that, despite the noise in the Common-Crawl-based OSCAR data, embeddings trained on OSCAR perform much better than monolingual embeddings trained on Wikipedia. They actually equal or improve the current state of the art in tagging and parsing for all five languages. In particular, they also improve over multilingual Wikipedia-based contextual embeddings (multilingual BERT), which almost always constitutes the previous state of the art, thereby showing that the benefit of a larger, more diverse corpus surpasses the cross-lingual benefit of multilingual embedding architectures.
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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-02863875v2/file/ELMos.pdf https://hal.inria.fr/hal-02863875v2/document https://doi.org/10.18653/v1/2020.acl-main.156 https://hal.inria.fr/hal-02863875
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Modelling Etymology in LMF/TEI ; The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case
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A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages ...
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How OCR Performance can Impact on the Automatic Extraction of Dictionary Content Structures
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In: 19th annual Conference and Members’ Meeting of the Text Encoding Initiative Consortium (TEI) -What is text, really? TEI and beyond ; https://hal.archives-ouvertes.fr/hal-02263276 ; 19th annual Conference and Members’ Meeting of the Text Encoding Initiative Consortium (TEI) -What is text, really? TEI and beyond, Sep 2019, Graz, Austria (2019)
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Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures
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In: 7th Workshop on the Challenges in the Management of Large Corpora (CMLC-7) ; https://hal.inria.fr/hal-02148693 ; 7th Workshop on the Challenges in the Management of Large Corpora (CMLC-7), Jul 2019, Cardiff, United Kingdom. ⟨10.14618/IDS-PUB-9021⟩ (2019)
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Nénufar: Modelling a Diachronic Collection of Dictionary Editions as a Computational Lexical Resource
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In: ELEX 2019: smart lexicography ; https://hal.inria.fr/hal-02272978 ; ELEX 2019: smart lexicography, Oct 2019, Sintra, Portugal (2019)
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