Translation Study on Terms and Sentences with Particular Chinese Features Based on a Micro-self-built Corpus
Bibliographic Data
| ID | 22127001 |
|---|---|
| Authors | Jingni Liu (0000-0002-0722-1397, corresponding author) |
| Year | 2021 |
| Volume | 7 |
| Issue | 2 |
| Pages | 67-72 |
| Publication date | 2021-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Languages Literature and Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 2382-6282 • E-ISSN: 2972-3108 |
| Publisher | EJournal Publishing (PUBLISHER) |
| DOI | 10.18178/ijlll.2021.7.2.289 |
| OpenAlex | W3215029995 |
| Language | EN |
On the basis of two corpora of political and economic terms and sentences with particular Chinese features from China Daily (English version) and The New York Times, ranging from August 2019 to January 2020, a comparable analysis is made to find out the strategy of rendering those words in the news together with their lexical features. Statistics reveal an overall foreignization tendency, along with various factors imposing impacts on the process, which is examined from the perspective of both translation and linguistics
China · Corpus linguistics · Linguistics · Natural language processing · Computer Science · History · Natural Language Processing Techniques · Philosophy · Artificial Intelligence
| Highly cited | No |
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