This study aimed to examine the potentials of the NLP approach in detecting discourse markers (DMs), namely okay, in transcribed spoken data. One hundred thirty-eight concordance lines were presented to human referees to judge the functions of okay in them as a DM or Non-DM. After that, the researchers used a Python script written according to the…

Over the last decades, applied linguistics and language teaching/learning have investigated language errors committed by learners for both diagnostic and prognostic purposes. Initially, error analysis was conducted manually and involved a limited number of corpus. However, computer software advancement has facilitated much larger amounts of data…

This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

The present study investigates whether or not Thai students' English writing skills can be improved by using an online grammar checker. First, typical syntactic errors made by undergraduate students majoring in English and English for Careers were examined. Secondly, possible reasons for syntactic errors in English writing in the light of Lado's…

This paper aimed at investigating humor in text-based computer mediated communication (CMC). To this end, 200 turns exchanged by a number of 50 English language teachers on Viber, a messaging application, were randomly selected and analyzed based on Adam's (2012) classification of humor to examine emoticons, punctuations (question mark,…

The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after…

Respeaking is an effective way to make live and pre-recorded television, as well as live events, accessible to a wide audience. Respeakers use speech-recognition software to repeat or paraphrase what is heard through a microphone in a robotic voice while enunciating punctuation and adding colours or labels to identify the speakers. Until now, most…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

Digital storytelling (DST) is one of the areas which has entered the field of foreign language education and has proved to be beneficial in learning different language skills. However, it remains underexplored whether and how DST can affect learners' writing skill and motivation to write. The present study sought to investigate the impact of DST…

This paper examines the potential effectiveness of MALL for developing teens' writing performance. The results reveal substantial improvement in content and ideas, organization and mechanics, vocabulary, and language use in favor of the experimental groups (viz. Smart Teens and Amazing Teens).

Different genres of writing entail various levels of syntactic and lexical complexity, and how this complexity influences the results of Automatic Writing Evaluation (AWE) programs like Grammarly in second language (L2) writing is unknown. This study explored the use of Grammarly in the L2 writing context by comparing error frequency, error types…

In this article I describe software that facilitates "question-centric curricula" in which "big questions," rather than academic disciplines, are the primary means of organizing educational resources. To find these questions, the software scans course catalogs and extracts all sentences ending in a question mark. To find connections between…

The current study aims at investigating the effect of a suggested CALL program on developing EFL learners' mechanics of writing in English. An unbiased simple random sample of eighty fourth-year students (2006/2007) of the English Department at the Faculty of Education in Kafr El-Sheikh has been chosen to carry out the experiment. Forty students…