Results 251 to 260 of about 99,364 (324)

Size Matters: Digital Social Networks and Language Change. [PDF]

open access: yesFront Artif Intell, 2020
Laitinen M, Fatemi M, Lundberg J.
europepmc   +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

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

Introduction to the special issue on Nigerian English

open access: yes
World Englishes, EarlyView.
Kingsley O. Ugwuanyi
wiley   +1 more source

Co‐textual dopes: How LLMs produce contextually appropriate text in chat interactions with humans without access to context

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley   +1 more source

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