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Comparing majka and MorphoDiTa for Automatic Grammar Checking

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F19%3A00108375" target="_blank" >RIV/00216224:14210/19:00108375 - isvavai.cz</a>

  • Result on the web

    <a href="https://nlp.fi.muni.cz/raslan/2019/paper03-machura.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2019/paper03-machura.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparing majka and MorphoDiTa for Automatic Grammar Checking

  • Original language description

    Developing a grammar checker requires the most accurate morphological analysis. We have been using the majka analyzer and DESAMB tagger so far, but due to certain obstacles to disambiguation, we encountered many errors in morphological analysis. Nowadays, there are several tools that achieve comparable results. Therefore, it was beneficial to test the one which is well-kept and open-source – the MorphoDiTa system. For the detection of grammatical, stylistic and punctuation errors we use mainly special grammars built into the SET parser and this paper presents results based on outputs of both morphological analyzers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

    <a href="/en/project/TL02000146" target="_blank" >TL02000146: Web-based corrector of spelling, grammar and typography for Czech</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019

  • ISBN

    9788026315308

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    3-14

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Dec 6, 2019

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000604899800001