k 2019

Improving Nominalized Adjectives Tagging

OSOLSOBĚ, Klára and Hana ŽIŽKOVÁ

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

Language

English

Type of outcome

Prezentace na konferencích

Field of Study

60203 Linguistics

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14210/19:00111124

Organization unit

Faculty of Arts

DOI

Keywords in English

part of speech; nominalized adjectives; tagging; corpus

Tags

Tags

International impact, Reviewed
Změněno: 14/3/2020 21:40, Mgr. Marie Skřivanová

Abstract

V originále

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