INTEGRATING CORPUS-BASED RESOURCES AND NATURAL LANGUAGE PROCESSING TOOLS INTO CALL

  • Pascual Cantos Gomez
Keywords: Concordancing, corpus linguistics, data-driven learning, electronic dictionaries, Iiunian language technologies, linguistic corpora, machinc translation, morphological generation, NLP-tools, parsing, POS-tagging, speech technology

Abstract

This paper ainis at presenting a survey of computational linguistic tools presently available but whose potential has been neither fully considered not exploited to its full in modern CALL. It starts with a discussion on the rationale of DDL to language learning, presenting typical DDL-activities. DDL-software and potential extensions of non-typical DDL-software (electronic dictionaries and electronic dictionary facilities) to DDL . An extended section is devoted to describe NLP-technology and how it can be integrated into CALL, within already existing software or as stand alone resources. A range of NLP-tools is presentcd (MT programs, taggers, lemn~atizersp, arsers and speech technologies) with special emphasis on tagged concordancing. The paper finishes with a number of reflections and ideas on how language technologies can be used efficiently within the language learning context and how extensive exploration and integration of these technologies might change and extend both modern CAI,I, and the present language learning paradigiii..

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Author Biography

Pascual Cantos Gomez
Departamento de Filología Inglesa Universidad de Murcia
How to Cite
Cantos Gomez, P. (1). INTEGRATING CORPUS-BASED RESOURCES AND NATURAL LANGUAGE PROCESSING TOOLS INTO CALL. International Journal of English Studies, 2(1), 129-166. Retrieved from https://revistas.um.es/ijes/article/view/48581