Results 271 to 280 of about 30,037 (346)

Sweet as – The [ADJ + as] intensifier construction in Māori English/Aotearoa English

open access: yesWorld Englishes, EarlyView.
Abstract We introduce the Waikato Māori English Conversation (MEC) corpus, which consists of 43 dyadic conversations between 49 young adults who self‐recorded informal conversations with close friends, in their own homes, with no topic of conversation specified (83 hours of dialogue; nearly 800,000 words).
Andreea S. Calude, Hēmi Whaanga
wiley   +1 more source

Applied Linguistics, Sociolinguistics and World Englishes

open access: yesWorld Englishes, EarlyView.
Abstract The world Englishes perspective, especially as expressed within Kachru's formulation of the Inner, Outer and Expanding Circles of Englishes, provides a flexible and coherent model of the historical spread of English. While the model has had a profound influence on various subfields of applied linguistics, variationist sociolinguistics ...
Andrew Moody
wiley   +1 more source

Kinship‐based deference among Jaru siblings: A collaborative, adaptive, and multimodal accomplishment

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract In the Jaru community of northern Western Australia, certain in‐laws and relatives are categorized as being in a highly respectful relationship in which they are expected to pay deference to one another. This conversation‐analytic study closely examines the deferential practices that are used among three Jaru siblings in an ordinary multi ...
Josua Dahmen
wiley   +1 more source

Language machines: Toward a linguistic anthropology of large language models

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux   +2 more
wiley   +1 more source

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