Improving Nominalized Adjectives Tagging

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.

Basic information

• Original name: Improving Nominalized Adjectives Tagging
• Authors: OSOLSOBĚ, Klára (203 Czech Republic, belonging to the institution) and Hana ŽIŽKOVÁ (203 Czech Republic, guarantor, belonging to the institution).
• Edition: 10th International Conference NLP, Corpus Linguistics, Language Dynamics and Change, SLOVKO, 23 - 25 October 2019, Bratislava, 2019.

Other information

• Original language: English
• Type of outcome: Presentations at conferences
• Field of Study: 60203 Linguistics
• Country of publisher: Slovakia
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14210/19:00111124
• Organization unit: Faculty of Arts
• Doi: http://dx.doi.org/10.2478/jazcas-2019-0066
• Keywords in English: part of speech; nominalized adjectives; tagging; corpus
• Tags: rivok
• Tags: International impact, Reviewed

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.

Links

• MUNI/A/1061/2018, interní kód MU: Name: Čeština v jednotě synchronie a diachronie - 2019

Investor: Masaryk University, Category A