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…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

Purpose: The purpose of this study was to examine the measurement structure of the linguistic features of speech-language pathologists' (SLPs) talk during business-as-usual therapy sessions in the public schools, and to test the longitudinal stability of a theorized dimensional structure consisting of quantity, grammatical complexity, and lexical…

Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…

In recent years, the shift in the teaching approaches employed in Thai English as a Foreign Language (EFL) classroom provides new opportunities and challenges to the teachers and students form Generation Z (1995-2009) and Generation Alpha (2010-2024). This study examines verb errors among Thai EFL learners from Generation Z and Generation Alpha to…

Multi-componential models of translation competence are widely used in translator training as a yardstick for curricular and syllabus design. These models must be adapted to reflect professional trends, such as the impact of artificial intelligence, and machine translation in particular, on working methods. This paper describes the process of…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

This study aims to investigate the integration of artificial intelligence, specifically ChatGPT, into the learning process of the I Ching, and its impact on students' understanding and application of this ancient Chinese wisdom in modern management practices. The research adopts a quantitative approach, utilizing surveys to collect data from…

Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…

The standardisation process of English spelling largely came to its conclusion during the Early Modern period. While the progress of standardisation has been studied in both printed and manuscript texts, few studies have looked at these processes side by side, especially focusing on the same genre of writing and by using corpora that are…

This paper explores the other side of standardization by looking at one of the early modern regional varieties of English that remained outside the "consensus dialect" (Wright, 2000: 6). Drawing on Agha's (2003) framework of "enregisterment," I examine a selection of literary representations of the 'northern' dialect that are…

Applying an approach termed "citizen sociolinguistics" offers a unique opportunity to capture a large corpus of naturally occurring language data, especially fleeting interactions. Drawing on citizen science innovations in the natural sciences, citizen sociolinguistics recruits and trains scientists to complete data-related tasks such as…

The current study explored two levels of formulaic sequences, general and discipline specific, in a corpus of 200 applied linguistics research articles and examined the functions they serve. Using Antconc software, in total, 2563 sequences were identified including 593 general and 1370 discipline-specific sequences. These numbers account for 30%…

In original and dubbed film dialogue, direct questions are a means to depict interpersonal relationships on screen. In particular, pragmatic questions (i.e. non-questioning, rhetorical interrogatives) are frequently employed to mark alignment among interactants, in the form of affiliative and disaffiliative interrogatives, respectively expressing…

This paper presents the results from two studies on anaphoric reference to quantifying expressions (QEs) in Swedish, contributing to the current cross-linguistic discussion on this issue. For English it has been shown that the polarity of the QE (positive vs negative) determines the anaphoric set reference (to the referens set, REFSET, or to the…