Xiangtao Du
Biographic Data
| ID | 1235544 |
|---|---|
| NAME | Xiangtao Du |
| GIVEN NAMES | Xiangtao |
| FAMILY NAME | Du |
| SIGNATURE | DU X |
| AFFILIATIONS | Shanghai Jiao Tong University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Syntactic complexity in translated eHealth discourse of Covid-19: A comparable parallel corpus approach
In the pandemic era, the efficient management of COVID-19 by public health authorities is dependent upon the effective dissemination of health-related information. Due to the global nature of COVID-19, translations of healthcare information from the source language to the languages of target users are common. The current study discusses the findings from a comparative corpus analysis of a self-built corpus based on the translated version of eHeal…
Automated and Human Interaction in Written Discourse: A Contrastive Parallel Corpus-based Investigation of Metadiscourse Features in Machine-Human Translations
The rise of the internet has generated a need for fast online translations, which human translators cannot meet. Statistical tools such as Google and Baidu Translate provide automatic translation from one written language to another. This study reports the descriptive comparison of the machine-translation (MT) with human translation (HT), considering the metadiscoursal interactional features. The study uses a parallel corpus consisting of 79 text…
No prominent works on this page.
Automated and Human Interaction in Written Discourse: A Contrastive Parallel Corpus-based Investigation of Metadiscourse Features in Machine-Human Translations
The rise of the internet has generated a need for fast online translations, which human translators cannot meet. Statistical tools such as Google and Baidu Translate provide automatic translation from one written language to another. This study reports the descriptive comparison of the machine-translation (MT) with human translation (HT), considering the metadiscoursal interactional features. The study uses a parallel corpus consisting of 79 text…
Syntactic complexity in translated eHealth discourse of Covid-19: A comparable parallel corpus approach
In the pandemic era, the efficient management of COVID-19 by public health authorities is dependent upon the effective dissemination of health-related information. Due to the global nature of COVID-19, translations of healthcare information from the source language to the languages of target users are common. The current study discusses the findings from a comparative corpus analysis of a self-built corpus based on the translated version of eHeal…
Artificial Intelligence (2 works) · Computer Science (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Corpus linguistics (1 works) · Discourse Analysis in Language Studies (1 works) · eHealth (1 works) · Health care (1 works) · Language, Metaphor, and Cognition (1 works) · Machine translation (1 works)