<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Improving Nominalized Adjectives Tagging

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Improving Nominalized Adjectives Tagging"}

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...

Improving Nominalized Adjectives Tagging

Published Online: Dec 21, 2019

Page range: 370 - 379

DOI: https://doi.org/10.2478/jazcas-2019-0066

Keywords
nominalized adjectives, automatic morphological analysis, disambiguation, corpus, tagging

© 2019 Klára Osolsobě et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Improving Nominalized Adjectives Tagging

Published Online: Dec 21, 2019

Page range: 370 - 379

DOI: https://doi.org/10.2478/jazcas-2019-0066

Keywordsnominalized adjectives, automatic morphological analysis, disambiguation, corpus, tagging

© 2019 Klára Osolsobě et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
nominalized adjectives, automatic morphological analysis, disambiguation, corpus, tagging