Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…

This article introduces the CELI corpus, a new learner corpus of written Italian consisting of ca. 600,000 tokens, evenly distributed among CEFR (Common European Framework of Reference for Languages) proficiency levels B1, B2, C1 and C2. The collected texts derive from the language certification exams administered by the University for Foreigners…

As a key component of fluent linguistic production, multi-word sequences called lexical bundles are considered an important distinguishing feature of discourse in different registers, genres, and disciplines. They are also an important aspect of empirically correct and proficient language use in a corpus of natural language because they enable…

This paper reviews the literature on English for Specific Purposes (ESP) research in 15 CSSCI foreign language journals in China's CNKI database over the last two decades. The data have been quantified and visualized with Citespace. This paper analyzes research advances and themes, and then puts forward suggestions based on the current situation…

This study examines lexical density, lexical diversity and academic vocabulary use in the dissertation abstracts written by EFL (English as a foreign language), ESL (English as a second language) and English L1 (Native Speakers) postgraduate students to find out whether these lexical features differ across different English language backgrounds of…

This corpus-based study explores the expression of gratitude in the acknowledgement section of doctoral dissertations in both English and Arabic. The objective is to analyse how gratitude in academic discourse is structured in these languages and to explore any differences related to gender. The study examines 80 dissertations (40 in English and…

Online assessment systems are increasingly utilised as an evaluation tool for measuring the performance of lecturers in Institutions of Higher Learning (IHLs). These systems commonly have a set of questionnaires comprised of quantitative and qualitative questions. Most online lecturer teaching assessment systems are focused on the quantitative…

This paper makes an important and original contribution to the updating of methodological approaches to research syntheses. We analysed all 813 Proceedings of the British Society for Research into Learning Mathematics from 2003 to 2018, first using a quantitative corpus-survey and qualitative thematic coding and, again, independently, using topic…

Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…

Many language teachers use Information and Communications Technology (ICT) in their classrooms to create tasks, quizzes, or polls with general online learning platforms. Few teachers have experience, however, of incorporating online corpus tools in their teaching or assessment practices. This paper will explore how autonomous learning can be…

Innovation and the development of knowledge in the field of scientific research is increasing exponentially, but it continues to be disjointed. It makes it difficult to keep up with state-of-the-art and to be at the forefront of research and dissemination, as well as to evaluate empirical evidence in the area of academic excellence. Recent…

Big data sets and powerful computing capacity have transformed scholarly inquiry across many disciplines. While the impact of data-intensive research methodologies is perhaps most distinct in the natural and social sciences, the humanities have also benefited from these new analytical tools. While full-text data is necessary to study topics such…

The use of online language corpora in L2 teaching and learning is gaining momentum largely because corpora are an easily accessed source of language input that potentially provide rich and authentic lexico-grammatical data. This can be of particular use for students' writing as its incorporation can enhance the appearance of native-like fluency.…

Compared with English learners, Spanish learners have fewer resources for automatic error detection and revision and following the current integrative Computer Assisted Language Learning (CALL), we combined corpus-based approach and CALL to create the System of Error Detection and Revision Suggestion (SEDRS) for learning Spanish. Through…

This paper reports the compilation of a corpus of Taiwanese students' spoken English, which is one of the sub-corpora of the Louvain International Database of Spoken English Interlanguage (LINDSEI) (Gilquin, De Cock, & Granger, 2010). LINDSEI is one of the largest corpora of learner speech. The compilation process follows the design criteria…