Automatic analysis of caregiver input and child production: Insight into corpus-based research on child language development in Korean

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F22%3A73614145" target="_blank" >RIV/61989592:15210/22:73614145 - isvavai.cz</a>

Výsledek na webu

<a href="https://benjamins.com/catalog/kl.20002.shi" target="_blank" >https://benjamins.com/catalog/kl.20002.shi</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1075/kl.20002.shi" target="_blank" >10.1075/kl.20002.shi</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic analysis of caregiver input and child production: Insight into corpus-based research on child language development in Korean

Popis výsledku v původním jazyce

The present study explores the applicability of Natural Language Processing (NLP) techniques to investigate child corpora in Korean. We employ caregiver input and child production data in the CHILDES database, currently the largest and open-access Korean child corpus data, and apply NLP techniques to the data in two ways: automatic Part-of-Speech tagging by adapting a machine learning algorithm, and (semi-)automatic extraction of constructional patterns expressing a transitive event (active transitive and suffixal passive). As the first empirical report on NLP-assisted analysis of Korean child corpora, this study is expected to reveal its advantages and drawbacks, thereby opening the window to furthering corpus-mediated research on child language development in Korean. Implications of this study’s findings will also contribute to research practice regarding developmental studies on Korean through child corpora, ensuring the reproducibility of procedures and results, which is often lacking in previous corpus-based research on child language development in Korean.

Název v anglickém jazyce

Automatic analysis of caregiver input and child production: Insight into corpus-based research on child language development in Korean

Popis výsledku anglicky

The present study explores the applicability of Natural Language Processing (NLP) techniques to investigate child corpora in Korean. We employ caregiver input and child production data in the CHILDES database, currently the largest and open-access Korean child corpus data, and apply NLP techniques to the data in two ways: automatic Part-of-Speech tagging by adapting a machine learning algorithm, and (semi-)automatic extraction of constructional patterns expressing a transitive event (active transitive and suffixal passive). As the first empirical report on NLP-assisted analysis of Korean child corpora, this study is expected to reveal its advantages and drawbacks, thereby opening the window to furthering corpus-mediated research on child language development in Korean. Implications of this study’s findings will also contribute to research practice regarding developmental studies on Korean through child corpora, ensuring the reproducibility of procedures and results, which is often lacking in previous corpus-based research on child language development in Korean.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Korean Linguistics

ISSN

0257-3784

e-ISSN

2212-9731

Svazek periodika

18

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

34

Strana od-do

"125–158"

Kód UT WoS článku

000871382900002

EID výsledku v databázi Scopus

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