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@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 - JOUR 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 and 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, p.~3-14. ISBN~978-80-263-1530-8.
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