BERT-Based Sentence Recommendation for Building Vietnamese Universal Dependency Treebank

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AJU256HBN" target="_blank" >RIV/00216208:11320/23:JU256HBN - isvavai.cz</a>

Result on the web

<a href="https://www.dialog-21.ru/media/5944/mosolovaa132.pdf" target="_blank" >https://www.dialog-21.ru/media/5944/mosolovaa132.pdf</a>

DOI - Digital Object Identifier

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Result language

ruština

Original language name

Comparative analysis of neural network-based morphological parsers of Korean language

Original language description

"This study analyzes the work of the UDPipe and Stanza neural parsers' models trained on corporanof Universal Dependencies project, the purpose of which is to develop a universal morphologicalnmarkup for the corpora of various languages. The paper considers the applicability of the universalntags’ set to the part-of-speech system of Korean, and compares the UD, KAIST and Sejong tagsetsnused by the parsers for Korean. The part-of-speech classification proposed in these tagsets isnanalyzed from the point of view of Korean grammar. The paper also evaluates the performance ofnthe UDPipe and Stanza parsers."

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

"Papers from the Annual International Conference “Dialogue”"

ISBN

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ISSN

2221-7932

e-ISSN

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Number of pages

15

Pages from-to

1-15

Publisher name

Preprints

Place of publication

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Event location

Tórshavn, Faroe Islands

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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