TextMix: Using NLP and APIs to Generate Chunked Sentence Scramble Tasks

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  • Author(s): Albertson, Brendon (ORCID Albertson, Brendon (ORCID 0000-0001-8932-835X)
  • Language:
    English
  • Source:
    Research-publishing.net. 2021.
  • Publication Date:
    2021
  • Document Type:
    Reports - Descriptive
    Speeches/Meeting Papers
  • Additional Information
    • Availability:
      Research-publishing.net. La Grange des Noyes, 25110 Voillans, France. e-mail: [email protected]; Web site: http://research-publishing.net
    • Peer Reviewed:
      Y
    • Source:
      7
    • Subject Terms:
      Computer Assisted Instruction; Second Language Learning; Natural Language Processing; Sentences; Learning Activities; Computer Oriented Programs
    • Abstract:
      A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble syntactic components of sentences, while connecting with Application Programming Interfaces (APIs) to provide repeated exposure to authentic sentences in the context of texts such as Wikipedia articles. In addition to identifying a novel application of NLP and APIs in CALL, this project highlights the need for teacher-friendly interfaces that prioritize pedagogically useful ways of chunking text. [For the complete volume, "CALL and Professionalisation: Short Papers from EUROCALL 2021 (29th, Online, August 26-27, 2021)," see ED616972.]
    • Abstract:
      As Provided
    • Publication Date:
      2022
    • Accession Number:
      ED617890