Automatic speech recognition (ASR) has considerable potential to model aspects of classroom discourse with the goals of automated assessment, feedback, and instructional support. However, modeling student talk is besieged by numerous challenges including a lack of data for child speech, low signal to noise ratio, speech disfluencies, and…

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…

This research study aims to explore students' perceptions and reflections on the effectiveness of project-based learning (PBL) in a Thai-English translation course in the EFL context. The participants of this study included forty-nine students who were enrolled in the Thai-English translation course. The participants were asked to produce a…

While Automated Writing Evaluation (AWE) can perform an error diagnosis (Chen & Cheng, 2008), previous studies used to exclude it from the process of error analysis. This study aimed to examine the reactions of Grammarly Premium towards a group of night school students' English writings at a Taiwanese technical university. The participants of…

The accurate identification of likely segmental pronunciation errors produced by nonnative speakers of English is a longstanding goal in pronunciation teaching. Most lists of pronunciation errors for speakers of a particular first language (L1) are based on the experience of expert linguists or teachers of English as a second language (ESL) and…

Committing errors is expected in the development of language acquisition and learning; however, there is limited research that contributes to the literature on the effect of gender of English as a foreign language (EFL) writing. This study explored the gender differences in EFL students' writing using two approaches: human evaluation and…

Conditional sentences are difficult for EFL students to understand because of their complexity in both form and function. By analyzing the performances and opinions among EFL learners, the pedagogical contribution may be beneficial for both EFL students and teachers. The use, errors, and perceptions of Thai EFL students regarding conditional…

A compelling body of evidence suggests that EFL students have problem with logical connectors' appropriate use in writing. This study explored Iranian EFL students' adversative connectors use in their essay writing course. To this end, a Learner Corpus of 60393 words consisting of 156 essays was compiled. LOCNESS was chosen as the criterion…

This study examines the quality of entry translation in Dorland's Medical Dictionary (DMD) containing mistranslation and maltranslation. This embedded-case study used DMD human-based and website mistranslation leading to maltranslation. The purposively selected data were 111 tropical medicine related the entries and its definition inserted in the…

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…

In a project-based approach to teaching a foreign language at the university level, students are often required to participate in several task-based writing activities. In doing so, language learners not only write incorrect forms, but also correct forms of the same structures, both of which provide useful information on their strengths and…

This study explores Universiti Teknologi MARA (UiTM) Sarawak graduating students' oral proficiency, focusing on grammatical accuracy. Oral proficiency in English has always been the benchmark of language proficiency, and in the context of UiTM's language teaching curriculum, efforts to enhance students' oral proficiency are implemented through…

Describes how a computerized text analysis program can help students discover error patterns in their writing, and notes how students' responses to analyses can reduce errors and improve their writing. (MM)

This guide to ERRATA, a set of HyperCard-based tools for response analysis and error diagnosis in language testing, is intended as a user manual and general reference and designed to be used with the software (not included here). It has three parts. The first is a brief survey of computational techniques available for dealing with student test…

A case is made against the educational application with nonproficient writers of "canned" feedback provided by text analysis computer programs marketed as grammar checkers and style analyzers. The feedback does not teach students. Alternative approaches for giving students feedback in the electronic medium are offered. (46 references) (Author/LB)