Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A3NWRFRVQ" target="_blank" >RIV/00216208:11320/22:3NWRFRVQ - isvavai.cz</a>
Výsledek na webu
<a href="http://ebookcentral.proquest.com/lib/cuni/detail.action?docID=30254228" target="_blank" >http://ebookcentral.proquest.com/lib/cuni/detail.action?docID=30254228</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1075/scl.104.03kis" target="_blank" >10.1075/scl.104.03kis</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian
Popis výsledku v původním jazyce
The study reports on the results of a corpus-based evaluation of automatically extracted syntactic complexity measures as indices of Russian as a foreign language (FL) and Russian as a heritage language (HL) writing development. A list of 12 syntactic complexity measures was tested on a set of longitudinal, classroom-based data. The analyses demonstrated that the syntactic complexity measures help delineate four proficiency levels (Intermediate Mid, Intermediate High, Advanced Low and Advanced Mid as established through the ACTFL proficiency guidelines), and that the changes in syntactic complexity indices across levels pattern slightly differently in the FL vs. HL learner groups. Our research confirms that the overall trends in interlanguage development in Russian align with the “complexification” trends found for other second languages.
Název v anglickém jazyce
Syntactic complexity measures as linguistic correlates of proficiency level in learner Russian
Popis výsledku anglicky
The study reports on the results of a corpus-based evaluation of automatically extracted syntactic complexity measures as indices of Russian as a foreign language (FL) and Russian as a heritage language (HL) writing development. A list of 12 syntactic complexity measures was tested on a set of longitudinal, classroom-based data. The analyses demonstrated that the syntactic complexity measures help delineate four proficiency levels (Intermediate Mid, Intermediate High, Advanced Low and Advanced Mid as established through the ACTFL proficiency guidelines), and that the changes in syntactic complexity indices across levels pattern slightly differently in the FL vs. HL learner groups. Our research confirms that the overall trends in interlanguage development in Russian align with the “complexification” trends found for other second languages.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů