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The Retention Effect of Learning Grammatical Patterns Implicitly Using Joining-in-Type Robot-Assisted Language-Learning System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11107))

Abstract

Conducting a multiparty conversation among two robots and a human learner for the purpose of language learning is a novel idea. It can help in conveying grammatical information to the human learner in an implicit manner. The main focus in this paper is the quantification of the level of retention of what was learned implicitly over a period of four weeks. We had evaluated the utterances of the human learners on the level of similarity of n-grams with a reference answer, and on the basis of grammatical correctness of use. The experiments revealed effect of repletion of implicit learning for learning corrective use of grammatical patterns.

A. Khalifa—Lecturer at Computer Science and Engineering College in Taibah University, Medina, Saudi Arabia. Currently studying at Doshisha University.

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Acknowledgement

This research was supported in part by a grant from the Japan Society for the Promotion of Science (JSPS) (No. 15K02738).

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Correspondence to AlBara Khalifa .

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Khalifa, A., Kato, T., Yamamoto, S. (2018). The Retention Effect of Learning Grammatical Patterns Implicitly Using Joining-in-Type Robot-Assisted Language-Learning System. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2018. Lecture Notes in Computer Science(), vol 11107. Springer, Cham. https://doi.org/10.1007/978-3-030-00794-2_53

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  • DOI: https://doi.org/10.1007/978-3-030-00794-2_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00793-5

  • Online ISBN: 978-3-030-00794-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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