Chinese segmentation and collocation: A platform for blended learning

Simon Smith

doi:10.14705/rpnet.2018.23.791

Chinese segmentation and collocation: A platform for blended learning

Simon Smith

School of Humanities

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

79 Downloads (Pure)

Abstract

Mandarin Chinese is an increasingly popular world language and object of study, and while there are numerous online character learning apps and flashcard systems, very little research has been done on inductive or autonomous learning in the realm of collocation acquisition. I propose a new Chinese implementation of a trusted corpus-based platform, currently available for English and several other languages, accompanied and enhanced by an adaptive approach to Chinese segmentation approach, whereby different ways of carving up a given sentence are selectively displayed to the learner.

Original language	English
Title of host publication	Flipping the blend through MOOCs, MALL and OIL – new directions in CALL
Editors	Marina Orsini-Jones, Simon Smith
Place of Publication	Voillans, France
Publisher	Research-publishing.net
Chapter	8
Pages	59-66
Number of pages	8
ISBN (Electronic)	978-2-490057-17-7
ISBN (Print)	978-2-490057-16-0
DOIs	https://doi.org/10.14705/rpnet.2018.23.791
Publication status	Published - 13 Jun 2018

Bibliographical note

This volume is published under the Attribution-NonCommercial-NoDerivatives International (CC BY-NC-ND) licence; individual articles may have a different licence. Under the CC BY-NC-ND licence, the volume is freely available online (https://doi.org/10.14705/rpnet.2018.23.9782490057160) for anybody to read, download, copy, and redistribute provided that the author(s), editorial team, and publisher are properly cited. Commercial use and derivative works are, however, not permitted.

Access to Document

10.14705/rpnet.2018.23.791Licence: CC BY

PublishedFinal published version, 764 KBLicence: CC BY

1 Anthology or Edited Book

Flipping the Blend through MOOCs, MALL and OIL: New Directions in CALL
Orsini-Jones, M. (ed.) & Smith, S. (ed.), 19 Jun 2018, Research-publishing.net. 75 p.
Research output: Book/Report › Anthology or Edited Book › peer-review

Open Access
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219 Downloads (Pure)

Simon Smith
- School of Humanities - Assistant Professor Academic
Person: Teaching and Research

Cite this

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abstract = "Mandarin Chinese is an increasingly popular world language and object of study, and while there are numerous online character learning apps and flashcard systems, very little research has been done on inductive or autonomous learning in the realm of collocation acquisition. I propose a new Chinese implementation of a trusted corpus-based platform, currently available for English and several other languages, accompanied and enhanced by an adaptive approach to Chinese segmentation approach, whereby different ways of carving up a given sentence are selectively displayed to the learner.",

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Chinese segmentation and collocation: A platform for blended learning

Abstract

Bibliographical note

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Research output

Flipping the Blend through MOOCs, MALL and OIL: New Directions in CALL

Profiles

Simon Smith

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