Teaching Computational Linguistics: Challenges and Target Audiences

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Abstract

Depending on the standpoint, Computational Linguistics can be defined as a subfield of Computer Science dedicated to the processing of specific data – natural language data – or as a subfield of Linguistics concerned with formal modelling of linguistic knowledge for computation purposes. These two perspectives reflect the two main paths to this interdisciplinary field, but also the challenges posed to its teaching. Namely, focusing on, and mastering, logic reasoning and formal models, for Language and Humanities students, and acknowledging and dealing with irregularity, variation and idiosyncrasy, for Computer Science, Engineering and Technology students. This paper discusses the major obstacles and handicaps that seem to stand in the way of teaching/learning Computational Linguistics, an area with high visibility, appeal and applicability potential, aiming at raising attention to some simple but usually overseen aspects that may improve teaching/learning results.
Original languageEnglish
Title of host publicationProceedings of II World Congress on Computer Science, Engineering and Technology Education
EditorsClaudio da Rocha Brito, Melany M. Ciampi
Place of PublicationCastelo Branco
PublisherScience and Education Research Council, COPEC
Pages34-42
Number of pages8
ISBN (Electronic)978-85-66680-59-1
ISBN (Print)978-85-65992-59-6
Publication statusPublished - 2016
EventWCCSETE 2016 - II World Congress on Computer Science, Engineering and Technology Education - Castelo Branco
Duration: 4 Sep 20167 Sep 2016

Conference

ConferenceWCCSETE 2016 - II World Congress on Computer Science, Engineering and Technology Education
Period4/09/167/09/16

Keywords

  • target audiences
  • teaching/learning
  • Computational Linguistics
  • Natural Language Processing

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