Attitudinal Evaluation in Chinese University Students’ English Writing: A Contrastive Perspective
Xinghua Liu · Anne McCabe
2017 ira. · Corpora and Intercultural Studies 4. liburua · Springer
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This book offers up-to-date insights into the long-standing controversy of whether or not Chinese learners of English adequately express their attitudes in written English. It compares four writing datasets from three groups of student writers (e.g., English-speaking students’ English texts, Chinese-speaking students’ Chinese texts, and both English and Chinese texts produced by the same group of Chinese-speaking students majoring in English), and applies the appraisal framework, an analytical tool developed in the field of Systemic Functional Linguistics. The book provides a nuanced view of the deployment of attitudinal patterns and the linguistic resources used for attitudinal evaluation in Chinese students’ English writing. Accordingly, it offers a valuable resource for all those interested in second language writing, contrastive rhetoric, second language acquisition and systemic functional linguistics.
Egileari buruz
Dr. Xinghua Liu received his PhD in Applied Linguistics from the University of Reading, UK and completed his post-doctorate training in writing research at Arizona State University, USA. He has extensive teaching and research experience in second language writing and is a published researcher in this area.
Dr. Anne McCabe obtained her Ph.D. in Language Studies at Aston University, UK, and has taught first-year University writing in English at Saint Louis University-Madrid Campus for over twenty-five years. She has published widely in areas related to academic writing, education, and the media, using a variety of discourse analytical tools.
Dr. Anne McCabe obtained her Ph.D. in Language Studies at Aston University, UK, and has taught first-year University writing in English at Saint Louis University-Madrid Campus for over twenty-five years. She has published widely in areas related to academic writing, education, and the media, using a variety of discourse analytical tools.
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