OSOLSOBĚ, Klára and Hana ŽIŽKOVÁ. Improving Nominalized Adjectives Tagging. In 10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava. 2019. Available from: https://dx.doi.org/10.2478/jazcas-2019-0066. |
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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 and Hana ŽIŽKOVÁ. Improving Nominalized Adjectives Tagging. In \textit{10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava}. 2019. Available from: https://dx.doi.org/10.2478/jazcas-2019-0066.
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