LorePath
  • Browse
  • ·FAQ
Back to Results

Magical Tome

Cover of Sadness Expressions in English and Chinese
First published
2014
Publisher
Bloomsbury
Pages
241 pages
ISBN
9781472510662

Sadness Expressions in English and Chinese

The outer archives are busy

by Zhang, Ruihua (Linguist)

About this book

"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, psychology, bilingual lexicography and language pedagogy"--

Match Score

Create a free account to see Match Scores on books the community has marked — once you’ve set your preferences.

Create free account

Marks of the Realm

Marks left by readers of this tome

No community marks yet — be the first to inscribe this tome.

Pacing

—out of 5

Horror / Dark Elements

—out of 5

Romance

—out of 5

Spice Level

—out of 5

LGBTQ+ Representation

—out of 5

Social & Political Themes in Stories

—out of 5

Inscribe Your Rating

Mark this tome across each content category