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…

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…

Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…

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…

This study investigated the potential of comprehensive corrective feedback forms as editing and learning tools and examined their effect on learners' cognitive and attitudinal engagement. Low-intermediate second language writers (N = 139) were randomly assigned to four experimental conditions (direct corrections of grammatical errors,…

During the process of translation, students need to learn how to detect and correct errors in their translation drafts, and collaboration among themselves is one possible way to do this. As Pym (2003) has explained, translation is a process of problem-solving; translators must be able to decide which choices are more or less appropriate for the…

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…

Error pattern analysis is a teaching technique that emphasizes identifying, classifying, and keeping a frequency count on only those errors actually occurring in students' writing. Application of error pattern analysis in a workshop format requires three steps: preparing an error pattern analysis, teaching from this analysis, and integrating it…