As technology advances, and more students have constant access to cell phones, laptops and tablets inside the classroom, the use of machine translation (MT) by language learners will continue to rise. Therefore, in order for instructors to better design courses they should strive to understand how students are using machine translation, as well as…

There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…

Background: Language learners are taking advantage of the increased accuracy afforded by machine translation (MT) tools like Google Translate. There is a growing debate as to whether these tools support or hinder English as a foreign language (EFL) education. Some EFL students are drawn to MT tools to save time and energy when communicating, but…

Despite writing and speaking being related activities, their end-products are entirely different. However, previous studies have not shown consistency in terms of grammar use in these two modes. Accordingly, in the present study, I aim to define the syntactic characteristics in these two modes with large-scale data and organized research designs.…

The current master's curriculum in English Translation major in Iranian universities has not satisfied the demands of the society in which it was developed. Translation students have complained that some essential skills are not considered in the curriculum. Therefore, this study is aimed at proposing some guidelines for curriculum reformers in…

Based on the quantitative analysis of L2 English texts from Korean undergraduates, the present paper demonstrates the possibility of distinguishing L2 speaking proficiency with differing measures of syntactic complexity in English writing. To this end, 14 measures of complexity were gauged using an L2 Syntactic Analyzer (Lu, 2010) in 89 EFL essays…

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…

In recent years, marked gains in the accuracy of machine translation (MT) outputs have greatly increased its viability as a tool to support the efforts of English as a foreign language (EFL) students to write in English. This study examines error corrections made by 58 Korean university students by comparing their original L2 texts to that of MT…

The purpose of this study was to investigate the continuity of reading passages of Korean high school English textbooks with the 2015 Revised National Curriculum using CohMetrix, a software that analyzes English texts in a range of linguistic features. Twentyone English textbooks were analyzed: 11 High School English, five High School English I,…

While metadiscourse use has been well-attended in second language (L2) writing research, relatively less effort has been made in documenting changing patterns of metadiscourse use among L2 writers. The present study addressed this gap by probing a diachronic change of interactive metadiscourse in research articles published in "English…

How strongly a verb is associated with a construction plays a crucial role in the learning of argument structure constructions. We examined the effect of verb-construction association strength on second language (L2) constructional generalization by analysing L2 learners' production and comprehension of two complex constructions (i.e. ditransitive…

This study examines the relationships among various major factors that may affect the difficulty level of language tests in an attempt to enhance the robustness of item difficulty estimation, which constitutes a crucial factor ensuring the equivalency of high-stakes tests. The observed difficulties of the reading and listening sections of two EFL…

Recent research conducted as part of the English Profile identified grammatical criterial features that are characteristic of each Common European Framework of Reference (CEFR) proficiency level. The extent to which these criterial features attest in English learners of various first language backgrounds call for an empirical examination. In this…

Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…

This study investigated the convergence of content and language integrated learning, translanguaging, and global citizenship education in an EFL tertiary English class. Conceptualized within translanguaging as an assemblage for meaning-making, machine translation was incorporated into the course in a way that EFL bilinguals could fully avail…