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@article{1533903,
author = {Nevěřilová, Zuzana},
article_location = {Mexico},
article_number = {3},
doi = {http://dx.doi.org/10.13053/CyS-22-3-3022},
keywords = {Multiword expression; Multi-word expression; MWE; MWE discovery; inter-lingual homographs},
language = {eng},
issn = {1405-5546},
journal = {Computación y Sistemas},
title = {Discovering Continuous Multi-word Expressions in Czech},
url = {http://doi.org/10.13053/CyS-22-3-3022},
volume = {22},
year = {2018}
}
TY - JOUR
ID - 1533903
AU - Nevěřilová, Zuzana
PY - 2018
TI - Discovering Continuous Multi-word Expressions in Czech
JF - Computación y Sistemas
VL - 22
IS - 3
SP - 845-852
EP - 845-852
PB - Centro de Investigación en Computación
SN - 14055546
KW - Multiword expression
KW - Multi-word expression
KW - MWE
KW - MWE discovery
KW - inter-lingual homographs
UR - http://doi.org/10.13053/CyS-22-3-3022
L2 - http://doi.org/10.13053/CyS-22-3-3022
N2 - Multi-word expressions frequently cause incorrect annotations in corpora, since they often contain foreign words or syntactic anomalies. In case of foreign material, the annotation quality depends on whether the correct language of the sequence is detected. In case of inter-lingual homographs, this problem becomes difficult. In the previous work, we created a dataset of Czech continuous multi-word expressions (MWEs). The candidates were discovered automatically from Czech web corpus considering their orthographic variability. The candidates were classified and annotated manually. Afterwards, the dataset was extended automatically by generating all word forms of those MWEs that were annotated as nouns. In this work, we used the dataset as positive examples, we filtered out negative examples from the MWE candidates. We trained a classifier with mean accuracy 92.7%. We have shown that the combined approach slightly outperforms approaches concerning only association measures mainly on MWEs containing inter-lingual homographs and out-of-vocabulary words. The discovery methods can be applied to other languages which encounter orthographic variability in web corpora.
ER -
NEVĚŘILOVÁ, Zuzana. Discovering Continuous Multi-word Expressions in Czech. \textit{Computación y Sistemas}. Mexico: Centro de Investigación en Computación, roč.~22, č.~3, s.~845-852. ISSN~1405-5546. doi:10.13053/CyS-22-3-3022. 2018.
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