Use this url to cite publication: https://hdl.handle.net/20.500.12259/110432
Quantitative analysis of language competence vs. performance in Russian- and Lithuanian-speaking 6 year-olds
Type of publication
Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
LT | St. Petersburg State Pediatric Medical University, Russia | RU | ||
Kornev, Alexandr N. | St. Petersburg State Pediatric Medical University, Russia | RU |
Title [en]
Quantitative analysis of language competence vs. performance in Russian- and Lithuanian-speaking 6 year-olds
Related publication
Date Issued
| Date |
|---|
2020 |
Publisher
Amsterdam : IOS Press
Publisher (trusted)
Is Referenced by
Extent
p. 225-232
Research Area
Humanitariniai mokslai / The humanities (H)
Field of Science
Filologija / Philology (H004)
Abstract (en)
The paper deals with a comparative analysis of the Part-of-Speech Profile between different languages and discourse genres in 6-year-old typically developing Russian- vs. Lithuanian-speaking children. Results of the study inspire a discussion on a possibility to evaluate both language competence and language performance of the same subject on the basis of his/her distribution of parts of speech in the discourse.
Series/Report no.
(Frontiers in artificial intelligence and applications, Vol. 328)
Media Type (COAR)
TextJournalJournal articleResearch article
Language
Anglų / English (en)
Coverage Spatial
Nyderlandai / Netherlands (NL)
File(s)
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Owning collection
Mapped collections
ISBN (of the container)
9781643681160
ISSN (of the container)
0922-6389
WOS
WOS:000648590800030
Other Identifier(s)
VDU02-000064392
Project(s)
18-18-00114
Funding(s)
Russian Science Foundation (RSF)
Access Rights
Atviroji prieiga / Open Access
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Frontiers in Artificial Intelligence and Applications | 0.6 | 0.338 | 0.155 | 2020 | Q4 |