Results 141 to 150 of about 21,621 (239)

A Multilingual Integrated Framework for Processing Lexical Collocations

open access: yes, 2013
Lexical collocations are typical combinations of words, such as heavy rain, close collaboration, or to meet a deadline. Pervasive in language, they are a key issue for NLP systems since, as other types of multi-word expressions like idioms, they do not allow for word-by-word processing.
openaire   +3 more sources

Introduction to the special issue on Nigerian English

open access: yesWorld Englishes, Volume 45, Issue 1, Page 2-6, March 2026.
Abstract This article introduces this special issue of World Englishes devoted to Nigerian English. It outlines the significance of this special issue (and of Nigerian English) within global Englishes scholarship. It situates Nigerian English as one of the most demographically, functionally and intellectually important postcolonial varieties of English,
Kingsley O. Ugwuanyi
wiley   +1 more source

Lexical functions as indicators of semantic relations in collocational phrases of Croatian

open access: yesRasprave Instituta za Hrvatski Jezik i Jezikoslovlje, 2008
The paper deals with Igor Meljčuk’s meaning – text model of lexical functions (LF’s) applied to collocational phrases in the Croatian language. The author points out that many simple standard lexical functions (basic LF’s and derivative LF’s) are general
Goranka Blagus Bartolec
doaj  

Cultural conceptualisations and the cultural model of fertility and infertility in Nigerian English

open access: yesWorld Englishes, Volume 45, Issue 1, Page 163-181, March 2026.
Abstract The article scrutinises the concepts of fertility and infertility as reflected in Nigerian English. For this, a mixed‐methods approach is suggested that uses the Corpus of Global Web‐based English as a resource to shed light on lexical frequency and collocations, as well as a newspaper corpus of online articles from The Guardian and Vanguard ...
Anna Finzel
wiley   +1 more source

Detecting and Modeling Emotional Landscapes Through Deep Learning, GPT‐4.1, and 3D Spatial Interpolation

open access: yesTransactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT This research provides new directions in conceptualizing emotional geographies at the landscape level using a combination of textual deep learning (DL) and GPT‐based spatial emotion detection and interpolation using 3D empirical Bayesian kriging.
Christopher J. Anderson
wiley   +1 more source

Home - About - Disclaimer - Privacy