Periods of extremely hot and cold weather can cause significant mortality and morbidity in both temperate and more extreme climates. In the UK, their occurrence prompts the issuing of number and colour coded warnings providing an assessment of the level of risk. These are designed to minimize health impact by prompting timely and appropriate…

It is assumed by many teachers and materials writers that it is important to teach at all levels the forms and meanings of derivational prefixes and suffixes, as an important aid to learning new words in English. However, corpus evidence suggests that knowledge of the meanings of such components occurring within the most common 5,000 words in…

Until now, there has been very little unified analysis of metadiscourse across speech and writing. Drawing on a reflexive metadiscourse model, this article conducts a multidimensional analysis of metadiscourse across 10 spoken and written registers in a corpus of 626 texts. Two metadiscourse dimensions, participants' interaction and discourse…

Higher education professional associations (HEPAs) are well-established agents of knowledge production and have been influential in shaping higher education policies and practices. In the context of US international higher education, HEPAs have contributed to the rise of 'internationalization' as a discursive practice. Proposing an analytical…

Although machine translation software and CAT tools are commonly used both by professional translators and by those involved in the training of translators, the usefulness of electronic text corpora for these purposes is less widely known. Corpora of various types have become much easier to access during the last decade, and the main obstacle to…

Machine Translation (MT) is receiving increasing attention within language education due to both its affordances and the potential it offers for academic misconduct. To understand more about teachers' views and practices, a survey was conducted with 153 foreign language (L2) educators who teach at Japanese universities. The survey examined their;…

Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…

The Conceptual Metaphor Theory (Lakoff & Johnson, 1980) started a new approach to viewing metaphors in languages. Traditionally, metaphor is considered as one of the rhetorical devices. Conceptual metaphor, however, is an approach for us to understand abstract notions in terms of relatively concrete concepts. The HEART metaphor in Chinese…

In the field of applied linguistics, Diane Larsen-Freeman is widely recognized, among her numerous contributions, as the originator of Complex Dynamic Systems Theory (CDST). Over the years since her seminal publication (Larsen-Freeman, 1997), CDST has evolved into a meta-theory that guides the field's thinking on a variety of developmental…

AI-generated paraphrasing tools, especially QuillBot and Paraphrasing Tool, play a crucial role in preventing plagiarism in academic writing. However, their effectiveness and proficiency have been questioned, particularly regarding the adequacy of their strategies. This qualitative study analyzed the paraphrasing strategies and proficiency levels…

This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of…

Although there is a large and increasing body of research on the use of corpus data by language teachers and learners, the language teachers in question are also the researchers reporting on their use of corpora with their own learners. There is thus a gap, which this plenary speech addresses, between this research and the practice of language…

Distributional models of semantics learn word meanings from contextual co-occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co-occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co-occurrences…

Computer based analyses offer a possibility for objective methods to assess semantic-linguistic quality of narratives at the text level. The aim of the present study is to investigate whether a semantic language impairment index (SELIMI) based on latent semantic analysis (LSA) can discriminate between children with developmental language disorder…

Machine Translation (MT) has the potential to provide instant translation in times of crisis. MT provides real solutions that can remove borders between people and COVID-19 information. The widespread of MT system makes it worthy of scrutinizing the capacity of the most prominent MT system, Google Translate, to deal with COVID-19 texts into…