Machine translation post-editing (MTPE) is a process where humans and machines meet. While previous researchers have adopted psychological and cognitive approaches to explore the factors affecting MTPE performance, little research has been carried out to simultaneously investigate the post-editors' cognitive traits and the post-editing task…

This investigation underscores the significant impact of PE strategy selection on both the cognitive and operational aspects of translation. Highlighting the critical role of PE skills development in translator education, the study proposes several avenues for further research, including broadening participant demographics, integrating diverse and…

Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…

This first attempt aims to determine the extent of students' covert use of machine translation (MT) in the online assessment of their sight translation, the strategies of such use, and its signs. The study is based on the analysis of target texts (TT) of specialised online sight translation from Ukrainian into English by 13 BA and 10 MA students.…

Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…

Chinese subtitling of English trailers is essential for marketing foreign films in China, and there is a need to focus on audience reception. Ideal subtitles are expected to provide a necessary aid to the audience but to attract as little attention as possible. Paralinguistic factors like punctuation can influence the audience's attention and…

In recent years, machine translation post-editing (MTPE or PE for short) has been steadily gaining ground in the language industry. However, studies that examine translators' perceptions of, and attitudes towards, MTPE paint a somewhat negative picture, with PE pricing methods and rates being a major source of dissatisfaction. While the European…

An increasing number of international students pursue doctoral studies in China, a non-traditional learning destination compared with English-dominated Western countries. Despite considerable research on the challenges doctoral students face when writing theses in English in Western countries, relatively few studies have explored comparable issues…

Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…

Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…

Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…

The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…

The present study aims to investigate how Thai EFL university students use Google Translate (GT) in English writing, how they post-edit (PE) its outputs, and how they view GT use in English writing. The participants were 15 third-year non-English major students from three universities in Thailand. The data collection tools were an interview and…

The study focuses on literary translation between languages of low diffusion (LLD) from the perspective of a culture using such a language. The position of a language group in the world translation system determines the general flow of literary translation, but the specifics for the translation of an individual LLD may depend on a number of…

Translation competence has been a heated topic in recent years. Yet, business English majors (BEMs), as non-translation bilingual majors, also need training in translation competence. The paper intends to construct translation competence for BEMs through four modules: schema based on business knowledge; information types; cognitive thinking and…