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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 11 of 11 1 Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ... Khan, Fahad; Romary, Laurent; Salgado, Ana. - : Zenodo, 2021 BASE Show details 2 Modelling Etymology in LMF/TEI: The 'Grande Dicionário Houaiss da Língua Portuguesa' Dictionary as a Use Case. ... Khan, Fahad; Romary, Laurent; Salgado, Ana. - : Zenodo, 2021 BASE Show details 3 Modelling Etymology in LMF/TEI: The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case Khan, Fahad; Romary, Laurent; Salgado, Ana... 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) BASE Show details 4 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment Krek, Simon; Lonke, Dorielle; Ahmad, Raya Abu. - : European Language Resources Association (ELRA), 2020 BASE Show details 5 Modelling Etymology in LMF/TEI ; The Grande Dicionário Houaiss da Língua Portuguesa Dictionary as a Use Case Khan, Fahad; Romary, Laurent; Salgado, Ana. - : European Language Resources Association (ELRA), 2020 BASE Show details 6 A multilingual evaluation dataset for monolingual word sense alignment Nimb, Sanni; Gabrovsek, Dejan; Schoonheim, Tanneke. - : National University of Ireland Galway, 2020 BASE Show details 7 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ... Ahmadi, Sina; McCrae, John P.; Nimb, Sanni. - : Zenodo, 2020 BASE Show details 8 A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment ... Ahmadi, Sina; McCrae, John P.; Nimb, Sanni. - : Zenodo, 2020 BASE Show details 9 Nénufar: Modelling a Diachronic Collection of Dictionary Editions as a Computational Lexical Resource Bohbot, Hervé; Frontini, Francesca; Khan, Fahad... In: ELEX 2019: smart lexicography ; https://hal.inria.fr/hal-02272978 ; ELEX 2019: smart lexicography, Oct 2019, Sintra, Portugal (2019) BASE Show details 10 LMF Reloaded Romary, Laurent; Khemakhem, Mohamed; Khan, Fahad; Bowers, Jack; Calzolari, Nicoletta; George, Monte; Pet, Mandy; Bański, Piotr In: AsiaLex 2019: Past, Present and Future ; https://hal.inria.fr/hal-02118319 ; AsiaLex 2019: Past, Present and Future, Jun 2019, Istanbul, Turkey (2019) Abstract: International audience ; Lexical Markup Framework (LMF) or ISO 24613 [1] is a de jure standard that provides a framework for modelling and encoding lexical information in retrodigitised print dictionaries and NLP lexical databases. An in-depth review is currently underway within the standardisation subcommittee , ISO-TC37/SC4/WG4, to find a more modular, flexible and durable follow up to the original LMF standard published in 2008. In this paper we will present some of the major improvements which have so far been implemented in the new version of LMF. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]; [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; ISO 24613; Lexical resources; LMF URL: https://hal.inria.fr/hal-02118319/document https://hal.inria.fr/hal-02118319/file/AsiaLex2019_paper_74-5.pdf https://hal.inria.fr/hal-02118319 BASE Hide details 11 LMF Reloaded ... Romary, Laurent; Khemakhem, Mohamed; Khan, Fahad. - : arXiv, 2019 BASE Show details

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