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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Korean Linguistics

  • ISSN

    0257-3784

  • e-ISSN

    2212-9731

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    KR - KOREA, REPUBLIC OF

  • Number of pages

    34

  • Pages from-to

    "125–158"

  • UT code for WoS article

    000871382900002

  • EID of the result in the Scopus database