Investigating Chinese HE EFL Classrooms - Using Collaborative Learning to Enhance Learning (Hardcover, 2015 ed.)


This book presents a study on corpus-driven distribution as the main method of prediction, concentrating on individual semantic features to predict the senses of non-defined words by using corpora and tools, such as the Chinese Gigaword Corpus, HowNet, Chinese Wordnet, and XianDai HanYu CiDian (Xian Han). With the help of these corpora, the study determines the collocation clusters of four target words: chi1 "eat," wan2 "play," huan4 "change" and shao1 "burn" through character and concept similarities. The results of this sense prediction study demonstrate that it was able to use off-line tasks to test some participants' intuition, which supports the theory that different clusters can represent different senses when pursuing a corpus-based, computational approach.

R2,148
List Price R3,565
Save R1,417 40%

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles21480
Mobicred@R201pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days



Product Description

This book presents a study on corpus-driven distribution as the main method of prediction, concentrating on individual semantic features to predict the senses of non-defined words by using corpora and tools, such as the Chinese Gigaword Corpus, HowNet, Chinese Wordnet, and XianDai HanYu CiDian (Xian Han). With the help of these corpora, the study determines the collocation clusters of four target words: chi1 "eat," wan2 "play," huan4 "change" and shao1 "burn" through character and concept similarities. The results of this sense prediction study demonstrate that it was able to use off-line tasks to test some participants' intuition, which supports the theory that different clusters can represent different senses when pursuing a corpus-based, computational approach.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Release date

November 2014

Availability

Expected to ship within 12 - 17 working days

First published

2015

Authors

Dimensions

235 x 155 x 19mm (L x W x T)

Format

Hardcover

Pages

310

Edition

2015 ed.

ISBN-13

978-3-662-44502-0

Barcode

9783662445020

Categories

LSN

3-662-44502-6



Trending On Loot