| OSOLSOBĚ, Klára a Hana ŽIŽKOVÁ. Improving Nominalized Adjectives Tagging. In 10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava. doi:10.2478/jazcas-2019-0066. 2019. |
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@proceedings{1574922,
author = {Osolsobě, Klára and Žižková, Hana},
booktitle = {10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava},
doi = {http://dx.doi.org/10.2478/jazcas-2019-0066},
keywords = {part of speech; nominalized adjectives; tagging; corpus},
language = {eng},
title = {Improving Nominalized Adjectives Tagging},
year = {2019}
}
TY - CONF
ID - 1574922
AU - Osolsobě, Klára - Žižková, Hana
PY - 2019
TI - Improving Nominalized Adjectives Tagging
KW - part of speech
KW - nominalized adjectives
KW - tagging
KW - corpus
N2 - Part of speech transitions represent an interesting issue in terms of Automatic Morphological Analysis (AMA). In these cases, two parts of speech have to be considered: initial and final. However, their automatic recognition is complicated by the same form. This article presents the results of a corpus study aimed at mapping nominalized adjectives tagging with a focus on detecting candidates for nominalization among frequent adjectives. Analysis of the data obtained from the ČNK SYN v5 corpus shows different reasons for incorrect tagging. Taking into account these reasons, we propose three solutions for the improvement nominalized adjectives tagging.
ER -
OSOLSOBĚ, Klára a Hana ŽIŽKOVÁ. Improving Nominalized Adjectives Tagging. In \textit{10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava}. doi:10.2478/jazcas-2019-0066. 2019.
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