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Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AKN927A9D" target="_blank" >RIV/00216208:11320/23:KN927A9D - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-16270-1_10" target="_blank" >http://dx.doi.org/10.1007/978-3-031-16270-1_10</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-16270-1_10" target="_blank" >10.1007/978-3-031-16270-1_10</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study

  • Original language description

    "The task of grammatical error correction is a widely studied field of natural language processing where the traditional rule-based approaches compete with the machine learning methods. The rule-based approach benefits mainly from a wide knowledge base available for a given language. On the contrary, the transfer learning methods and especially the use of pre-trained Transformers have the ability to be trained from a  huge number of texts in a given language. In this paper, we focus on the task of automatic correction of missing commas in Czech written texts and we compare the rule-based approach with the Transformer-based model trained for this task."

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    "Text, Speech, and Dialogue"

  • ISBN

    978-3-031-16270-1

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    113-124

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Cham

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article