文章基本信息

标题：Improving Nominalized Adjectives Tagging
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作者：Klára Osolsobě ; Hana Žižková
期刊名称：Journal of Linguistics/Jazykovedný casopis
印刷版ISSN：0021-5597
出版年度：2019
卷号：70
期号：2
页码：370-379
DOI：10.2478/jazcas-2019-0066
出版社：Walter de Gruyter GmbH
摘要：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.
关键词：nominalized adjectives ; automatic morphological analysis ; disambiguation ; corpus ; tagging