Hungarian noun phrase extraction using rule-based and hybrid methods

Recski Gábor: Hungarian noun phrase extraction using rule-based and hybrid methods. In: Acta cybernetica, (21) 3. pp. 461-479. (2014)

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Abstract

We implement and revise Kornai's grammar of Hungarian NPs [11] to create a parser that identifies noun phrases in Hungarian text. After making several practical amendments to our morphological annotation system of choice, we proceed to formulate rules to account for some specific phenomena of the Hungarian language not covered by the original rule system. Although the performance of the final parser is still inferior to state-of-the-art machine learning methods, we use its output successfully to improve the performance of one such system.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2014
Volume: 21
Number: 3
ISSN: 0324-721X
Page Range: pp. 461-479
Language: English
Place of Publication: Szeged
Event Title: Symposium on Programming Languages and Software Tools (2013) (Szeged)
Related URLs: http://acta.bibl.u-szeged.hu/38537/
DOI: 10.14232/actacyb.21.3.2014.11
Uncontrolled Keywords: Számítástechnika
Additional Information: Bibliogr.: p. 475-477. és a lábjegyzetekben ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 17. 10:37
Last Modified: 2022. Jun. 20. 09:08
URI: http://acta.bibl.u-szeged.hu/id/eprint/34479

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