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@inproceedings{1809762,
author = {Kovář, Vojtěch and Rychlý, Pavel},
address = {Brno},
booktitle = {Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)},
editor = {Horák, Aleš; Rychlý, Pavel; Rambousek, Adam},
keywords = {Lemmatization; Morphological guesser; Morphological analysis; Morphological guessing},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1670-1},
pages = {135-138},
publisher = {Tribun EU},
title = {DMoG : A Data-Based Morphological Guesser},
url = {https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=143},
year = {2021}
}
TY - JOUR
ID - 1809762
AU - Kovář, Vojtěch - Rychlý, Pavel
PY - 2021
TI - DMoG : A Data-Based Morphological Guesser
PB - Tribun EU
CY - Brno
SN - 9788026316701
KW - Lemmatization
KW - Morphological guesser
KW - Morphological analysis
KW - Morphological guessing
UR - https://nlp.fi.muni.cz/raslan/raslan21.pdf#page=143
N2 - We present a novel corpus-based approach to lemmatization of unknown words. The tool learns affix patterns from annotated data, and based on these patterns, it predicts other word forms that should be present in the corpus. A lemma candidate then comes from the pattern whose predictions are really found in the corpus. We present a prototype implementation and an initial evaluation on Czech, which shows promising results.
ER -
KOVÁŘ, Vojtěch a Pavel RYCHLÝ. DMoG : A Data-Based Morphological Guesser. In Horák, Aleš; Rychlý, Pavel; Rambousek, Adam. \textit{Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)}. Brno: Tribun EU, 2021, s.~135-138. ISBN~978-80-263-1670-1.
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