ALLES: Integrating NLP in ICALL Applications

  1. Paul Schmidt 1
  2. Sandrine Garnier 1
  3. Mike Sharwood 2
  4. Toni Badia 3
  5. Lourdes Díaz 3
  6. Martí Quixal 3
  7. Ana Ruggia 3
  8. Antonio S. Valderrabanos
  9. Alberto J. Cruz 4
  10. Enrique Torrejón 5
  11. Celia Rico 5
  12. Jorge Jiménez 5
  1. 1 IAI, Saarbrücken, Germany
  2. 2 Heriot-Watt University
    info

    Heriot-Watt University

    Edimburgo, Reino Unido

    ROR https://ror.org/04mghma93

  3. 3 Universitat Pompeu Fabra
    info

    Universitat Pompeu Fabra

    Barcelona, España

    ROR https://ror.org/04n0g0b29

  4. 4 SchlumbergerSema, Madrid, Spain
  5. 5 Universidad Europea de Madrid
    info

    Universidad Europea de Madrid

    Madrid, España

    ROR https://ror.org/04dp46240

Mostrar afiliaciones +
Actas:
Integrating NLP in ICALL Applications

Editorial: Universidad de Saarbrucken

Año de publicación: 2004

Congreso: International Conference on Language Resources and Evaluation (LREC), May 2004 Lisbon (Portugal)

Tipo: Aportación congreso

GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

This paper describes how mature NLP that has been successfully applied in the area of controlled language checking can be used todeliver intelligent CALL applications1. It describe how an autonomous, long-distance second-language learning system for advancedlearners2 can be created. The architecture of the system consists of a multimodal user interface, a set of skill-specific learning tools,and a set of NLP-based evaluation tools. All modules are integrated in a flexible and scalable software architecture allowing for the useof NLP and ensuring a user-friendly environment based on advanced concepts in language didactics. The multimodal user interface isweb-based and incorporate off-the-shelf ASR. The set of skill-specific learning tools consists of a reading, listening, speaking and awriting tool. The thrust of the project is to show the potential of NLP in evaluation of students’ productions.

Referencias bibliográficas

  • Carl, Michael, Antje Schmidt-Wigger & Munpyo Hong (1997). KURD - A Formalism for Shallow Post Morphological Processing. In : Proc. of NLPRS'97.
  • Hirst, G. J. and Budanitski, A. 2001. ‘Correcting RealWord Spelling Errors by Restoring Lexical Cohesion’. In ACL, Vol. 1, No. 1.
  • Heringer, H.J. (2000). Fehlerlexikon. Aus Fehlern lernen: Beispiele und Diagnosen. Berlin, Cornelson Verlag.
  • Karlsson, F. et al. 1995. Constraint Grammar: A Language-Independent Formalism for Parsing Unrestricted Text. Mouton de Gruyter: Berlin/NY.
  • Kukich, K. 1992. Techniques for automatically correcting words in text, in ACM Computing Surveys, 24: 377-439
  • St-Onge, D. 1995. Detecting and correcting malapropisms with lexical chains, Master's thesis, Department of Computer Science, University of Toronto.