Results 191 to 200 of about 124,140 (238)

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]

Imaging Neurosci (Camb)
Bouton S, Chambon V, Golestani N, Formisano E, Proix T, Giraud AL.   +5 more
europepmc   +1 more source

Assessing the integration of social information using AI-generated videos: a brief research report. [PDF]

Front Psychol
Compensis P.
europepmc   +1 more source

Treatment Efficacy of Semantic Feature Analysis in Logopenic and Semantic Variants of Primary Progressive Aphasia. [PDF]

Healthcare (Basel)
Yaşa İC, Maviş İ, Kaya T.
europepmc   +1 more source

The Geometry of Language: Understanding LLMs in Bioethics. [PDF]

J Bioeth Inq
Astobiza AM.
europepmc   +1 more source

Characterizing the Large-Scale Structure of Multimodal Semantic Networks. [PDF]

Cogn Sci
Marjieh R, van Rijn P, Sucholutsky I, Lee H, Jacoby N, Griffiths TL.   +5 more
europepmc   +1 more source

Individual differences shape conceptual representation in the brain

Visconti di Oleggio Castello M, Dupré la Tour T, Gallant JL.   +2 more
europepmc   +1 more source

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LEXICAL-SEMANTIC FIELDS OF ENGLISH BORROWINGS

2022
This article is dedicated to English borrowings, loan words and their lexical semantic field, definition and translation of some words.
Maftuna Omonova Shermatovna, Xusnora Saydullayeva Tajaxmat Qizi, Qizi, Aziza Sayfullayeva Ruxulla   +2 more
openaire   +1 more source

ANALYSIS OF NOUNS WITHIN THE LEXICAL-SEMANTIC FIELD ‘PERSONAL COMPUTING DEVICES’

Lomonosov Journal of Philology, 2023
This paper clarifies the concept of personal computing devices, which establishes boundaries and describes the structure of a given lexical-semantic field. The material of this study is lexemes beyond the pure professional discourse. Anglicisms had a great influence on nominations in the computer field.
O lga V. Dedova, Mao Yuyan
openaire   +1 more source

Probabilistic Lexical Semantics: From Gaussian Embeddings to Bernoulli Fields

2023
If we are to take lexical semantics seriously – that is, to have a theory that can model the meanings of words, including all their subtle connotations – then we cannot hope to write down all the details by hand. In fact, Mollica and Piantadosi (2019) estimate that the vast majority of the information required to learn a language is lexical semantics ...
openaire   +1 more source