Advanced search
Publication Cover
Translation Studies Volume 15, 2022 - Issue 1
Submit an article Journal homepage
571
Views
0
CrossRef citations to date
0
Altmetric
Reviews

Translation and paratexts

by Kathryn Batchelor, London, Routledge, 2018, 202 pp., £34.99/£120.00/£31.49 (paperback/hardback/eBook), ISBN 9781138488977 / 9780815349228 / 9781351110112

Lingjuan FanSchool of Foreign Languages, Guangdong University of Finance and Economics, Guangzhou, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7166-8399View further author information
ORCID Icon
Pages 102-106 | Published online: 18 Nov 2020
 
Sample our Language & Literature journals, sign in here to start your FREE access for 14 days
Click to increase image sizeClick to decrease image sizeFree first page

Additional information

Funding

This work was supported by the National Social Science Fund of China under Grant 19BYY133.

Notes on contributors

Lingjuan Fan

Lingjuan Fan is Associate Professor at the School of Foreign Languages, Guangdong University of Finance and Economics, China. She holds a PhD in Translation and Intercultural Studies from the University of Manchester, UK. Her research interests include online translation communities, collaborative translation and genetic translation studies.

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 311.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.