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…

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…

Mass adoption of neural machine translation (NMT) tools in the translation workflow has exerted a significant impact on the language services industry over the last decade. There are claims that with the advent of NMT, automated translation has reached human parity for translating news (see, e.g. Popel et al. 2020). Moreover, some machine…

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…

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…

This study is based on a comparative analysis of Turkish translations of "Sanctuary" (1931) by William Faulkner and aims to review the assumptions of literary translation by Antoine Berman's "retranslation hypothesis" and "deforming tendencies." The novel was exposed to an obligatory rewriting process by the editor…

Drawing from research on revision competence and revision didactics, and based on the proposal of a multi-component revision competence model, a short-term revision course was offered in 2015 as part of a Specialized Translation module. During the course, students were also involved in an experimental study whose overall aim was to investigate the…

This paper outlines the results of the experimental study aiming to explore the impact of using machine translation engines on the performance of translation students. Machine translation engines refer to the software developed to translate source texts into target languages in a fully automatic mode which can be classified according to the…

It has been argued that the growing impact of new technologies on society should be reflected in education in response to the digital generation's extensive dependence on digital tools. This paper focuses on the incorporation of digital technologies into translator training by comparing the benefits and drawbacks of "wikis," a…

Evaluation is of paramount significance in the teaching and learning process. So is true with translation teaching and learning. This study uses in-depth interview to qualitatively examine in which ways the student translators and the professional trans-editor, two important stakeholders in the learning process, evaluate the work of translation.…

Machine translation is currently undergoing a paradigm shift from statistical to neural network models. Neural machine translation (NMT) is difficult to conceptualise for translation students, especially without context. This article describes a short in-class evaluation exercise to compare statistical and neural MT, including details of student…

Machine translation has been criticized for its inability to provide language style, but for specialized or technical texts, of which there are increasing numbers, machine translation with its obligatory post-editing may be effective, and the "style" of these translations may be a reflection of the error patterns caught in post-editing. (MSE)

Generalised access to the Internet and globalisation has led to increased demand for translation services and a resurgence in the use of machine translation (MT) systems. MT post-editing or the correction of MT output to an acceptable standard is known to be one of the ways to face the huge demand on multilingual communication. Given that the use…