Results 111 to 120 of about 23,185 (245)

Modal verbs in South Asian online Englishes: must, (have) got to, have to and need to

open access: yesWorld Englishes, EarlyView.
Abstract This research article presents an analysis of four (semi‐)modals of necessity/obligation (must, (have) got to, have to and need to) in four CMC registers (comments, tweets, web forums and websites) originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) along with the United Kingdom and United States.
Muhammad Shakir
wiley   +1 more source

The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

open access: yesTESOL Journal, Volume 17, Issue 2, June 2026.
ABSTRACT The advancement of Generative Artificial Intelligence (GenAI) is complicating traditional techniques in English for Academic Purposes (EAP) instruction. This paper proposes a novel adaptation of an existing scale (the AI Assessment Scale), which is designed to facilitate effective learning and assessment in the era of GenAI.
Jasper Roe   +2 more
wiley   +1 more source

Method for Automatic Collocation Extraction from Ukrainian Corpora [PDF]

open access: yes, 2018
The article deals with the methods for automatic collocation extraction from Ukrainian corpora. The task of collocation extraction is considered in terms of a corpus-oriented approach [1], based on statistical measures.
Kuzmina, M., Petrasova, S. V.
core  

Of Titans and Terraria: Exploring and Conceptualising Philanthropic Foundations Through the Lens of Metaphors

open access: yesJournal of Philanthropy, Volume 31, Issue 2, May 2026.
ABSTRACT Addressing ongoing calls for a more robust understanding of philanthropic foundations, this paper uses metaphor analysis to map and analyse analogical metaphors on foundations—metaphors that make a direct comparison between philanthropic foundations and another domain—put forward in academic and non‐academic discourse.
Tobias Jung
wiley   +1 more source

TYPES OF TERMINOLOGICAL COLLOCATIONS IN MEDICAL ENGLISH DISCOURSE

open access: yesSovremennye Issledovaniâ Socialʹnyh Problem
Background. The problem of word compatibility has been actively studied by Western and Russian researchers since the middle of the XX century. Any language is known to be a living and constantly developing system, within which certain speech patterns are
Oksana O. Lyamova
doaj   +1 more source

Teaching Spoken English at Junior High School: A Comparison of TPR and PPP [PDF]

open access: yes
This article reports on an experimental methods-comparison study, which was undertaken with beginner level junior high school students (aged 12 and 13) in Japan.
Donohue, N, Jones, C, Lees, M, Smith, K
core  

Training and Scaling Preference Functions for Disambiguation [PDF]

open access: yes, 1994
We present an automatic method for weighting the contributions of preference functions used in disambiguation. Initial scaling factors are derived as the solution to a least-squares minimization problem, and improvements are then made by hill-climbing ...
Alshawi, Hiyan, Carter, David
core   +3 more sources

Human tests for machine models: What lies “Beyond the Imitation Game”?

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Corpus approaches to language in the media [PDF]

open access: yes, 2018
The main aim of this chapter is to offer an overview of research that has adopted the methodology of Corpus Linguistics to study aspects of language use in the media.
Jaworska, Sylvia
core  

Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley   +1 more source

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