RELISH LMF: Unlocking the Full Power of the Lexical Markup Framework

被引：0
|
作者：
Windhouwer, Menzo [1 ]
Petro, Justin [2 ]
Shayan, Shakila [3 ]
机构：
[1] DANS, Language Arch, NL-2593 HW The Hague, Netherlands
[2] Eastern Michigan Univ, LINGUIST List, Ypsilanti, MI 48197 USA
[3] MPI Psycholinguist, Language Arch, NL-6525 XD Nijmegen, Netherlands
来源：
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2014年
关键词：
lexical resources; Lexical Markup Framework; interoperability;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
The Lexical Markup Framework (ISO 24613:2008) provides a core class diagram and various extensions as the basis for constructing lexical resources. Unfortunately the informative Document Type Definition provided by the standard and other available LMF serializations lack support for many of the powerful features of the model. This paper describes RELISH LMF, which unlocks the full power of the LMF model by providing a set of extensible modern schema modules. As use cases RELISH LL LMF and support by LEXUS, an online lexicon tool, are described.
引用
收藏
页码：1032 / 1037
页数：6
相关论文
共 20 条
  • [1] LMF Lexical Markup Framework
    Balvet, Antonio
    [J]. TRAITEMENT AUTOMATIQUE DES LANGUES, 2013, 54 (01): : 229 - 231
  • [2] Multilingual resources for NLP in the lexical markup framework (LMF)
    Gil Francopoulo
    Nuria Bel
    Monte George
    Nicoletta Calzolari
    Monica Monachini
    Mandy Pet
    Claudia Soria
    [J]. Language Resources and Evaluation, 2009, 43 : 57 - 70
  • [3] Multilingual resources for NLP in the lexical markup framework (LMF)
    Francopoulo, Gil
    Bel, Nuria
    George, Monte
    Calzolari, Nicoletta
    Monachini, Monica
    Pet, Mandy
    Soria, Claudia
    [J]. LANGUAGE RESOURCES AND EVALUATION, 2009, 43 (01) : 57 - 70
  • [4] Standardising bilingual lexical resources according to the Lexicon Markup Framework
    Maks, Isa
    Tiberius, Carole
    van Veenendaal, Remco
    [J]. SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008, 2008, : 1723 - 1727
  • [5] Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education
    Su, Jiahong
    Yang, Weipeng
    [J]. ECNU REVIEW OF EDUCATION, 2023, 6 (03) : 355 - 366
  • [6] Unlocking the full power of electrochemical fingerprinting for on-site sensing applications
    G. Moro
    H. Barich
    K. Driesen
    N. Felipe Montiel
    L. Neven
    C. Domingues Mendonça
    S. Thiruvottriyur Shanmugam
    E. Daems
    K. De Wael
    [J]. Analytical and Bioanalytical Chemistry, 2020, 412 : 5955 - 5968
  • [7] Unlocking the full power of electrochemical fingerprinting for on-site sensing applications
    Moro, G.
    Barich, H.
    Driesen, K.
    Montiel, N. Felipe
    Neven, L.
    Mendonca, C. Domingues
    Shanmugam, S. Thiruvottriyur
    Daems, E.
    De Wael, K.
    [J]. ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2020, 412 (24) : 5955 - 5968
  • [8] A Game Theoretic Framework for Power Allocation in Full-Duplex Wireless Networks
    Fawaz, Hassan
    Khawam, Kinda
    Lahoud, Samer
    El Helou, Melhem
    [J]. IEEE ACCESS, 2019, 7 : 174013 - 174027
  • [9] Unlocking the power of big data analytics in new product development: An intelligent product design framework in the furniture industry
    Tsang, Y. P.
    Wu, C. H.
    Lin, Kuo-Yi
    Tse, Y. K.
    Ho, G. T. S.
    Lee, C. K. M.
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2022, 62 : 777 - 791
  • [10] A statistical framework for estimation of full-chip leakage-power distribution under parameter variations
    Dadgour, Hamed F.
    Lin, Sheng-Chih
    Banerjee, Kaustav
    [J]. IEEE TRANSACTIONS ON ELECTRON DEVICES, 2007, 54 (11) : 2930 - 2945
12