Research Output per year
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.
|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|
|Number of pages||8|
|Publication status||Published - 13 Jun 2018|
Bibliographical noteThis 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.
Orsini-Jones, M. (ed.) & Smith, S. (ed.), 19 Jun 2018, Research-publishing.net. 75 p.
Research output: Book/Report › Anthology or Edited Book
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Smith, S. (2018). Chinese segmentation and collocation: A platform for blended learning. In M. Orsini-Jones, & S. Smith (Eds.), Flipping the blend through MOOCs, MALL and OIL – new directions in CALL (pp. 59-66). Voillans, France: Research-publishing.net. https://doi.org/10.14705/rpnet.2018.23.791