Criterial Features in L2 English, Hawkins, A. 9780521184779 Free Shipping<-
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Criterial Features in L2 EnglishSpecifying the Reference Levels of the Common European Framework\nAuthor(s): John A. Hawkins, Luna Filipovi?, Michael Milanovic, Nick Saville\nFormat: Paperback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9780521184779, 978-0521184779\nSynopsis\nThis volume introduces a new concept, 'criterial features', for the learning, teaching and testing of English as a second language. The work is based on research conducted within the English Profile Programme at Cambridge University, using the Cambridge Learner Corpus.\nThe authors address the extent to which learners know the grammar, lexicon and usage conventions of English at each level of the Common European Framework of Reference (CEFR). These levels are currently illustrated in functional terms with 'Can Do' statements. Greater specificity and precision can be achieved by using the tagged and parsed corpus, which enables researchers to identify c.
Criterial Features in L2 English, Hawkins, A. 9780521184779 Free Shipping<-
Criterial Features in L2 EnglishSpecifying the Reference Levels of the Common European Framework\nAuthor(s): John A. Hawkins, Luna Filipovi?, Michael Milanovic, Nick Saville\nFormat: Paperback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9780521184779, 978-0521184779\nSynopsis\nThis volume introduces a new concept, 'criterial features', for the learning, teaching and testing of English as a second language. The work is based on research conducted within the English Profile Programme at Cambridge University, using the Cambridge Learner Corpus.\nThe authors address the extent to which learners know the grammar, lexicon and usage conventions of English at each level of the Common European Framework of Reference (CEFR). These levels are currently illustrated in functional terms with 'Can Do' statements. Greater specificity and precision can be achieved by using the tagged and parsed corpus, which enables researchers to identify c.
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