Predicting EFL Reader Ability from Lexical and Grammatical Knowledge Using a Perceptron Artificial Neural Network

Please use this identifier to cite or link to this item: https://doi.org/10.1080/10627197.2016.1166343

DC Field	Value
dc.title	Predicting EFL Reader Ability from Lexical and Grammatical Knowledge Using a Perceptron Artificial Neural Network
dc.contributor.author	Seyed Vahid Aryadoust
dc.date.accessioned	2018-04-12T08:03:06Z
dc.date.available	2018-04-12T08:03:06Z
dc.date.issued	2016-04-27
dc.identifier.citation	Seyed Vahid Aryadoust (2016-04-27). Predicting EFL Reader Ability from Lexical and Grammatical Knowledge Using a Perceptron Artificial Neural Network. Educational Assessment 21 (2) : 135-156. ScholarBank@NUS Repository. https://doi.org/10.1080/10627197.2016.1166343
dc.identifier.issn	1062-7197
dc.identifier.uri	http://scholarbank.nus.edu.sg/handle/10635/139943
dc.publisher	Taylor & Francis
dc.source	Taylor & Francis
dc.type	Article
dc.contributor.department	CTR FOR ENGLISH LANGUAGE COMMUNICATION
dc.description.doi	10.1080/10627197.2016.1166343
dc.description.sourcetitle	Educational Assessment
dc.description.volume	21
dc.description.issue	2
dc.description.page	135-156
dc.identifier.isiut	000401325300004
Appears in Collections:	Staff Publications Elements

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