GenAI as a translation assistant? A corpus-based study on lexical and syntactic complexity of GPT-post-edited learner translation
Authors:
- Ho Ling KwokHKHo Ling Kwok
- Yining ShiYSYining Shi
- Han XuHXHan Xu
- Dechao LiDLDechao Li
- Kanglong LiuKLKanglong Liu
Top Cited Papers
Open Access
Abstract
No abstract availableFunding Information
- The Hong Kong Polytechnic University
This publication has 32 references indexed in Scilit:
- Unraveling cognitive constraints in constrained languages: a comparative study of syntactic complexity in translated, EFL, and native varietiesLanguage Sciences, 2024
- A Cross Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and UncertaintiesJournal of Psycholinguistic Research, 2023
- The effects of task complexity on lexical complexity in L2 writing: An exploratory studySystem, 2023
- An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challengesBenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2022
- Using chatbots to scaffold EFL students’ argumentative writingAssessing Writing, 2022
- Investigating minimum text lengths for lexical diversity indicesAssessing Writing, 2021
- Investigating grammatical complexity in L2 English writing research: Linguistic description versus predictive measurementJournal of English for Academic Purposes, 2020
- Syntactic complexity and writing quality in assessed first-year L2 writingJournal of Second Language Writing, 2019
- Syntactic complexity in college-level English writing: Differences among writers with diverse L1 backgroundsJournal of Second Language Writing, 2015
- Automatically Assessing Lexical Sophistication: Indices, Tools, Findings, and ApplicationTESOL Quarterly, 2014