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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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LMF Reloaded
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In: AsiaLex 2019: Past, Present and Future ; https://hal.inria.fr/hal-02118319 ; AsiaLex 2019: Past, Present and Future, Jun 2019, Istanbul, Turkey (2019)
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Preparing the Dictionnaire Universel for Automatic Enrichment
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In: 10th International Conference on Historical Lexicography and Lexicology (ICHLL) ; https://hal.inria.fr/hal-02131598 ; 10th International Conference on Historical Lexicography and Lexicology (ICHLL), Jun 2019, Leeuwarden, Netherlands ; https://easychair.org/smart-program/ICHLL-10/ (2019)
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Abstract:
International audience ; The Dictionnaire Universel (DU) is an encyclopaedic dictionary originally written by Antoine Furetière around 1676-78, later revised and improved by the Protestant jurist Henri Basnage de Beauval who expanded, corrected and included terms of arts, crafts and sciences, into the Dictionnaire.The aim of the BASNUM project is to digitize the DU in its second edition rewritten by Basnage de Beauval, to analyse it with computational methods in order to better assess the importance of this work for the evolution of sciences and mentalities in the 18th century, and to contribute to the contemporary movement for creating innovative and data-driven computational methods for text digitization, encoding and analysis.Based on the experience acquired within the research group, an enrichment workflow based upon a series of Natural Language Processing processes is being set up to be applied to Basnage's work. This includes, among others, automatic identification of the dictionary structure (macro-, meso- and microstructure), named-entity recognition (in particular persons and locations), classification of dictionary entries, detection and study of polysemy markers, tracking and classification of quotation use (bibliographic references), scoring semantic similarity between the DU and other dictionaries. The main challenges being the lack of available annotated data in order to train machine learning models, decreased accuracy when using modern pre-trained models due to the differences between present-day and 18th century French, and even unreliable or low quality OCRisation. The paper describes methods that are useful to tackle these issues in order to prepare the the DU for automatic enrichment going beyond what current available tools like Grobid-dictionaries can do, thanks to the advent of deep learning NLP models. The paper also describes how these methods could be applied to other dictionaries or even other types of ancient texts.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.MUSEO]Humanities and Social Sciences/Cultural heritage and museology
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URL: https://hal.inria.fr/hal-02131598/document
https://hal.inria.fr/hal-02131598
https://hal.inria.fr/hal-02131598/file/ICHLL_10_Slides.pdf
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Enhancing Usability for Automatically Structuring Digitised Dictionaries
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In: GLOBALEX workshop at LREC 2018 ; https://hal.archives-ouvertes.fr/hal-01708137 ; GLOBALEX workshop at LREC 2018, May 2018, Miyazaki, Japan (2018)
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Retro-digitizing and Automatically Structuring a Large Bibliography Collection
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In: European Association for Digital Humanities (EADH) Conference ; https://hal.archives-ouvertes.fr/hal-01941534 ; European Association for Digital Humanities (EADH) Conference, EADH, Dec 2018, Galway, Ireland (2018)
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Automatically Encoding Encyclopedic-like Resources in TEI
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In: The annual TEI Conference and Members Meeting ; https://hal.inria.fr/hal-01819505 ; The annual TEI Conference and Members Meeting, Sep 2018, Tokyo, Japan ; https://tei2018.dhii.asia/ (2018)
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Presenting the Nénufar Project: a Diachronic Digital Edition of the Petit Larousse Illustré
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In: GLOBALEX 2018 - Globalex workshop at LREC2018 ; https://hal.archives-ouvertes.fr/hal-01728328 ; GLOBALEX 2018 - Globalex workshop at LREC2018, May 2018, Miyazaki, Japan. pp.1-6 ; https://globalex.link/globalex2018/ (2018)
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Automatic Extraction of TEI Structures in Digitized Lexical Resources using Conditional Random Fields
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In: electronic lexicography, eLex 2017 ; https://hal.archives-ouvertes.fr/hal-01508868 ; electronic lexicography, eLex 2017, Sep 2017, Leiden, Netherlands (2017)
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TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation
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In: LREC - Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01693805 ; LREC - Language Resources and Evaluation Conference, May 2016, Potoroz, Slovenia (2016)
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A Lexicalized Tree-Adjoining Grammar for Vietnamese
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In: International Conference on Language Resources and Evaluation - LREC 2006 ; https://hal.inria.fr/inria-00106159 ; International Conference on Language Resources and Evaluation - LREC 2006, May 2006, Gène/Italie, Italy (2006)
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The relevance of standards for research infrastructures
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In: International Conference on Language Resources and Evaluation - LREC 2006 ; https://hal.inria.fr/inria-00121474 ; International Conference on Language Resources and Evaluation - LREC 2006, elra, 2006, Gênes/Italie (2006)
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| 12 |
Standards going concrete: from LMF to Morphalou
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In: The 20th International Conference on Computational Linguistics - COLING 2004 ; https://hal.inria.fr/inria-00121489 ; The 20th International Conference on Computational Linguistics - COLING 2004, coling, 2004, Genève/Switzerland (2004)
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