Comparing majka and MorphoDiTa for Automatic Grammar Checking

D 2019

Comparing majka and MorphoDiTa for Automatic Grammar Checking

MACHURA, Jakub; Helena GERŽOVÁ; Markéta MASOPUSTOVÁ a Marie VALÍČKOVÁ

Základní údaje

Originální název

Comparing majka and MorphoDiTa for Automatic Grammar Checking

Název česky

Porovnání majky a MorphoDiTy s ohledem na automatickou kontrolou gramatiky

Autoři

MACHURA, Jakub; Helena GERŽOVÁ ; Markéta MASOPUSTOVÁ a Marie VALÍČKOVÁ

Vydání

Brno, Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019, od s. 3-14, 12 s. 2019

Nakladatel

Tribun EU

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

60203 Linguistics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14210/19:00108375

Organizační jednotka

Filozofická fakulta

ISBN

978-80-263-1530-8

ISSN

UT WoS

000604899800001

Klíčová slova anglicky

syntactic analysis; SET; grammar checker; punctuation; comma; homonymy; grammatical agreement; subject-predicate agreement; colloquial expressions; zeugma

Štítky

rivok

Příznaky

Mezinárodní význam

Změněno: 27. 6. 2024 10:42, Mgr. Michal Petr

Anotace

V originále

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.

Návaznosti

TL02000146, projekt VaV

Název: Webový pravopisný, gramatický a typografický korektor pro český jazyk

Investor: Technologická agentura ČR, Webový pravopisný, gramatický a typografický korektor pro český jazyk

Citovat

MACHURA, Jakub; Helena GERŽOVÁ; Markéta MASOPUSTOVÁ a Marie VALÍČKOVÁ. Comparing majka and MorphoDiTa for Automatic Grammar Checking. In Horák, Aleš; Rychlý, Pavel; Rambousek, Adam (eds.). Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019. Brno: Tribun EU, 2019, s. 3-14. ISBN 978-80-263-1530-8.

@inproceedings{1589941,
   author = {Machura, Jakub and Geržová, Helena and Masopustová, Markéta and Valíčková, Marie},
   address = {Brno},
   booktitle = {Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019},
   editor = {Horák, Aleš; Rychlý, Pavel; Rambousek, Adam (eds.)},
   keywords = {syntactic analysis; SET; grammar checker; punctuation; comma; homonymy; grammatical agreement; subject-predicate agreement; colloquial expressions; zeugma},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Brno},
   isbn = {978-80-263-1530-8},
   pages = {3-14},
   publisher = {Tribun EU},
   title = {Comparing majka and MorphoDiTa for Automatic Grammar Checking},
   url = {https://nlp.fi.muni.cz/raslan/2019/paper03-machura.pdf},
   year = {2019}
}

TY  - CONF
ID  - 1589941
AU  - Machura, Jakub - Geržová, Helena - Masopustová, Markéta - Valíčková, Marie
PY  - 2019
TI  - Comparing majka and MorphoDiTa for Automatic Grammar Checking
PB  - Tribun EU
CY  - Brno
SN  - 9788026315308
KW  - syntactic analysis
KW  - SET
KW  - grammar checker
KW  - punctuation
KW  - comma
KW  - homonymy
KW  - grammatical agreement
KW  - subject-predicate agreement
KW  - colloquial expressions
KW  - zeugma
UR  - https://nlp.fi.muni.cz/raslan/2019/paper03-machura.pdf
N2  - 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.
ER  -

MACHURA, Jakub; Helena GERŽOVÁ; Markéta MASOPUSTOVÁ a Marie VALÍČKOVÁ. Comparing majka and MorphoDiTa for Automatic Grammar Checking. In Horák, Aleš; Rychlý, Pavel; Rambousek, Adam (eds.). \textit{Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2019}. Brno: Tribun EU, 2019, s.~3-14. ISBN~978-80-263-1530-8.

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