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Automatic analysis of passive constructions in Korean: Written production by Mandarin-speaking learners of Korean

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F21%3A73604225" target="_blank" >RIV/61989592:15210/21:73604225 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1075/ijlcr.20002.shi" target="_blank" >https://doi.org/10.1075/ijlcr.20002.shi</a>

  • DOI - Digital Object Identifier

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

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic analysis of passive constructions in Korean: Written production by Mandarin-speaking learners of Korean

  • Original language description

    The present study aims to explore the applicability of automatic analysis to L2-Korean learner corpora, with a special focus on learners’ use of a clause- level construction. For this purpose, we investigate L1-Mandarin L2-Korean learners’ written production of two passive construction types in Korean – suffixal and periphrastic – by devising a pattern-extraction process through NLP techniques. We focus on reporting how the passive constructions are identified and extracted from learner writing automatically, given language- specific features involving the passive. A total of 72 essays were analysed by adapting an existing pipeline (developed by Shin, forthcoming), with enhanced tokenisation and annotation through manual revision of the data. Results showed that our automatic pattern-finder identified more instances than manual extraction for the suffixal passive and yielded a perfect match with manual extraction for the periphrastic passive. Implications of the find- ings are discussed in regard to strengths and drawbacks of the automatic analysis of learner writing, with suggestions for improving currently avail- able tools for learner corpus research 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

    O - Projekt operacniho programu

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Learner Corpus Research

  • ISSN

    2215-1478

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    30

  • Pages from-to

    53-82

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85103552449