Results 11 to 20 of about 12,680 (192)

Lexico-Semantic Relations Errors in Senior Secondary School Students' Writing

Nordic Journal of African Studies, 2001
The study examines the lexico-semantic relation errors in ESL writing. The data was taken from 200 SSS students' letter texts in 10 secondary schools randomly selected from two states in the South-Western Nigeria, the lexico-semantic errors were traced ...
Rotimi Taiwo
doaj   +2 more sources

Developing Lexico-Semantic Relations of Saraiki Nouns: A Corpus-Based Study

University of Chitral Journal of Linguistics and Literature
Saraiki, being the fourth most widely spoken language in Pakistan and being used in some parts of India and Afghanistan, is of significant geographical, historical, and cultural importance.
Musarat Nazeer, Musarrat Azher, Azhar Pervaiz, Iqra Yasmeen   +3 more
doaj   +1 more source

Leveraging relatedness-based measures in people with language disorders: A scoping review. [PDF]

J Neuropsychol
Abstract Understanding lexico‐semantic processing is crucial for dissecting the complexities of language and its disorders. Relatedness‐based measures, or those which investigate the degree of relatedness in meaning between either task items or items produced by participants, offer the opportunity to harness novel computational and analytical ...
Gaudet LA, Rybka L, Mandonnet E, Volle E, Barberis M, Jonkers R, Rofes A.   +6 more
europepmc   +2 more sources

Evidence Against Syntactic Encapsulation in Large Language Models. [PDF]

Cogn Sci
Abstract Transformer‐based large language models (LLMs) have recently demonstrated exceptional performance in a variety of linguistic tasks. LLMs primarily combine information across words in a sentence using the attention mechanism, implemented by “attention heads:” these components assign numerical weights linking different words in the input to one ...
McGee TA, Zhang Y, Blank IA.
europepmc   +2 more sources

The contribution of the amount of linguistic exposure to bilingual language development: Longitudinal evidence from preschool years. [PDF]

Child Dev
Abstract This study examined the influence of linguistic input on the development of productive and receptive skills across three fundamental language domains: lexico‐semantics, syntax, and phonology. Seventy‐one (35 female) Basque‐Spanish bilingual children were assessed at three time points (Fall 2018, Summer 2019, Winter 2021), between 4 and 6 years
Pérez-Navarro J, Lallier M.
europepmc   +2 more sources

Functional Connectivity Fingerprints of Emerging Reading Skill in the First Months of Schooling. [PDF]

Dev Sci
ABSTRACT The transition from pre‐reading to early word reading skill in early childhood is a time of profound developmental change. To understand changes in brain networks associated with reading development, this study examined individual differences in functional connectivity for reading at the start of formal literacy instruction.
Marks RA, Bouhali F, Sun X, Caballero JF, Kepinska O, Uchikoshi Y, Beltz A, Kovelman I, Hoeft F.   +8 more
europepmc   +2 more sources

Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model [PDF]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), 2018
We present a simple and effective feed-forward neural architecture for discriminating between lexico-semantic relations (synonymy, antonymy, hypernymy, and meronymy). Our Specialization Tensor Model (STM) simultaneously produces multiple different specializations of input distributional word vectors, tailored for predicting lexico-semantic relations ...
Glavaš, Goran, Vulic, I
openaire   +3 more sources

Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings [PDF]

Proceedings of the 10th International Conference on Knowledge Capture, 2019
Deep learning currently dominates the benchmarks for various NLP tasks and, at the basis of such systems, words are frequently represented as embeddings --vectors in a low dimensional space-- learned from large text corpora and various algorithms have been proposed to learn both word and concept embeddings.
Ronald Denaux, José Manuél Gómez-Pérez   +1 more
openaire   +2 more sources

Creating a Lexico-Semantic Typology of Water-Related Onomatopoeic Interjections (On Russian and Finnish Material) [PDF]

Vestnik Tomskogo gosudarstvennogo universiteta. Filologiya, 2020
This article is concerned with onomatopoeic interjections that describe the visual and acoustic effects produced when a subject or object comes into contact with water or another liquid. The aim of the research was to establish the criteria for devising a typology of such onomatopoeic expressions.
Viimaranta, Johanna, Bogomolov, Alexey
openaire   +2 more sources

Toward the automation of business process ontology generation [PDF]

, 2014
Semantic Business Process Management (SBPM) utilises semantic technologies (e.g., ontology) to model and query process representations. There are times in which such models must be reconstructed from existing textual documentation.
De Cesare, S, Juric, D, Lycett, M
core   +1 more source