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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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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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TEI Encoding of a Classical Mixtec Dictionary Using GROBID- Dictionaries
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In: ELEX 2019: Smart Lexicography ; https://hal.inria.fr/hal-02264033 ; ELEX 2019: Smart Lexicography, Oct 2019, Sintra, Portugal ; https://elex.link/elex2019/ (2019)
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CamemBERT: a Tasty French Language Model
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In: https://hal.inria.fr/hal-02445946 ; 2019 (2019)
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TEI and the Mixtepec-Mixtec corpus: data integration, annotation and normalization of heterogeneous data for an under-resourced language
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In: 6th International Conference on Language Documentation and Conservation (ICLDC) ; https://hal.inria.fr/hal-02075475 ; 6th International Conference on Language Documentation and Conservation (ICLDC), Feb 2019, Honolulu, United States (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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Connecting the Humanities through Research Infrastructures
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In: 4th Digital Humanities in the Nordic Countries (DHN 2019) ; https://hal.inria.fr/hal-02047512 ; 4th Digital Humanities in the Nordic Countries (DHN 2019), Mar 2019, Copenhagen, Denmark ; https://cst.dk/DHN2019/DHN2019.html (2019)
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The place of lexicography in (computer) science
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In: The Future of Academic Lexicography: Linguistic Knowledge Codification in the Era of Big Data and AI ; https://hal.inria.fr/hal-02358218 ; The Future of Academic Lexicography: Linguistic Knowledge Codification in the Era of Big Data and AI, Frieda Steurs; Dirk Geeraerts; Niels Schiller; Marian Klamer; Iztok Kosem, Nov 2019, Leiden, Netherlands ; https://www.lorentzcenter.nl/lc/web/2019/1177/program.php3?wsid=1177&venue=Oort (2019)
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Asynchronous pipelines for processing huge corpora on medium to low resource infrastructures ...
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From disparate disciplines to unity in diversity. How the PARTHENOS project brings Humanities Research Infrastructures together ...
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From disparate disciplines to unity in diversity. How the PARTHENOS project brings Humanities Research Infrastructures together ...
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Automatic TEI encoding of manuscripts catalogues with GROBID-Dictionaries ...
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TEI Lex-0: A Target Format for TEI-Encoded Dictionaries and Lexical Resources ...
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Automatic TEI encoding of manuscripts catalogues with GROBID-Dictionaries ...
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