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A corpus-driven study comparing Chinese and Spanish AD
Yuchen, Liu (Universitat Autònoma de Barcelona)
Casas-Tost, Helena (Universitat Autònoma de Barcelona)
Rovira-Esteva, Sara (Universitat Autònoma de Barcelona)

Data: 2022
Resum: This article presents a corpus-driven study comparing AD in Chinese and Spanish, as a first step towards testing the feasibility of AD translation from Spanish into Chinese. A bilingual multimodal corpus consisting of eight films with AD in both languages was first compiled, and then a labelling scheme was designed for the corpus annotation with ATLAS. ti. The results from a quantitative and qualitative analysis of this corpus show that there are many similarities in content selection between Chinese and Spanish AD, which justifies our proposal of translating AD scripts from Spanish into Chinese to increase AD in China. However, we also found that Chinese AD carries a higher information load than Spanish AD. There are also differences in the general approach to AD, in the sense that Chinese scriptwriters tend to intervene or interpret more than their Spanish counterparts. Therefore, such differences also suggest the need for a certain degree of localisation if AD is translated from Spanish into Chinese instead of created ex novo.
Ajuts: Ministerio de Ciencia e Innovación PGC2018-096566-B-I00
Nota: Yuchen Liu is also a beneficiary of the FI scholarship co-funded by the Generalitat de Catalunya and the European Social Fund.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra, i la creació d'obres derivades, sempre que no sigui amb finalitats comercials i que es distribueixin sota la mateixa llicència que regula l'obra original. Cal que es reconegui l'autoria de l'obra original Creative Commons
Llengua: Anglès
Document: Dataset ; recerca
Matèria: AD translation ; Chinese AD ; Contrastive analysis ; Media accessibility ; Multimodal corpus
Publicat a: JoSTrans: Journal of Specialised Translation, Vol. 38 (2022) , ISSN 1740-357X

Accés a l'article: https://ddd.uab.cat/record/257879
DOI: 10.5565/ddd.uab.cat/257651


Base de dades
xlsx file
21.7 KB

About dataset
3 p, 214.0 KB

Readme
txt file
4.8 KB

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 Registre creat el 2022-04-05, darrera modificació el 2022-05-19



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