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Can I read Sadness Expressions In English And Chinese: Corpus Linguistic Contrastive Semantic Analysis (corpus And Discourse) on EtoBox?

Sadness Expressions In English And Chinese: Corpus Linguistic Contrastive Semantic Analysis (corpus And Discourse) by Ruihua Zhang, (Linguist) is a nonfiction available to read on EtoBox.

What is Sadness Expressions In English And Chinese: Corpus Linguistic Contrastive Semantic Analysis (corpus And Discourse) about?

This book reports on the contrastive-semantic investigation of sadness expressions between English and Chinese, based on two monolingual general corpora and a parallel corpus. The exploration adopts a unique theoretical approach which integrates corpus-linguistic theories on meaning (as a social construct, usage and paraphrase) with a corpus-linguistic lexical model. It employs a new complex but workable methodology which combines computational tools with manual examination to tease meaning out of corpus evidence, to compare and contrast lexical items that do not match up neatly between languages. It looks at sadness expressions both within and across languages in terms of three corpus-linguistic structural categories, i.e. colligation, collocation and semantic association/preference, and paraphrase (both explicit and implicit) to capture their subtle nuances of meaning, disclose the culture-specific conceptualisations encoded in them, and highlight their respective cultural distinctiveness of emotion. By presenting multidisciplinary original work, __Sadness Expressions in English and Chinese__ will be of interest to researchers in corpus linguistics, contrastive lexical semantics,

Who reads Sadness Expressions In English And Chinese: Corpus Linguistic Contrastive Semantic Analysis (corpus And Discourse)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ruihua Zhang, (Linguist)
Publisher
Bloomsbury Academic; Bloomsbury
Published
2014
Language
EN
ISBN
9781472571038
Category
nonfiction
Subjects
Linguistics, Psychology, Language Learning

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