Improving Nominalized Adjectives Tagging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F19%3A00111124" target="_blank" >RIV/00216224:14210/19:00111124 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.2478/jazcas-2019-0066" target="_blank" >http://dx.doi.org/10.2478/jazcas-2019-0066</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jazcas-2019-0066" target="_blank" >10.2478/jazcas-2019-0066</a>
Alternative languages
Result language
angličtina
Original language name
Improving Nominalized Adjectives Tagging
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů