Textual Patterns of the Eight-Part Essays and Logic in Ancient Chinese Texts (PDF)

Name: Textual Patterns of the Eight-Part Essays and Logic in Ancient Chinese Texts
Brand: Springer-Verlag GmbH
SKU: 131217348
Price: 53.49 EUR
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(Sprache: Englisch)

Autor: Chunlan Jin

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Textual Patterns of the Eight-Part Essays and Logic in Ancient Chinese Texts, Chunlan Jin

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This book systematically depicts the theory of chengshi (textual patterns) of the eight-part essays and logic in ancient Chinese texts. With the rare materials, it covers all the basic and important aspects of the whole process and values of chengshi, such as the transformation of different parts and the coherent expression of the doctrines, the planning of writing, and the application to the logical and pedagogic fields. It also explores the similarities and disparities of logical patterns between ancient Chinese and Western texts. Though entirely fresh and tentative, the contrastive studies get new insights into the logic and philosophical concepts hidden in the writings for better understanding of the uniqueness and richness implied in Chinese culture.

Autoren-Porträt von Chunlan Jin

Dr. Chunlan Jin, an associate professor of Linguistics and Applied Linguistics at the School of Foreign Languages at East China University of Science and Technology (ECUST), received her Ph.D. degree from East China Normal University in 2013. She was a Visiting Scholar at the Department of Classics at UCLA (2015~2016) and was granted the Eurasia-Pacific Uninet Scholarships (Austria, 2012). Her research focuses on linguistics, translation and language teaching. She has published influential papers in journals including SSCI and CSSCI and has edited several books on translation and language teaching as the chief-editor since 2001. Also, she was awarded by ECUST as the "Excellent Young Female Professor" in teaching and research in 2016.

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Autor: Chunlan Jin
2020, 1st ed. 2020, 143 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 9811523371
ISBN-13: 9789811523373
Erscheinungsdatum: 16.01.2020

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