Universal Dependency Treebank for Ho Language

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AXLU3XJGI" target="_blank" >RIV/00216208:11320/23:XLU3XJGI - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161388183&doi=10.1007%2f978-981-19-7513-4_45&partnerID=40&md5=d94644661b9c36954b473be7c5a991a2" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161388183&doi=10.1007%2f978-981-19-7513-4_45&partnerID=40&md5=d94644661b9c36954b473be7c5a991a2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-19-7513-4_45" target="_blank" >10.1007/978-981-19-7513-4_45</a>

Result language

angličtina

Original language name

Universal Dependency Treebank for Ho Language

Original language description

"Language is the best way to share information. Each and every language has a grammatical structure to make complete sense. A sentence can be extracted with a dependency word sequence. The development of a large-scale dependency treebank for the Indian poor resource language is a great effort. The purpose of this paper is to build the first treebank of Ho language. The treebank contains 51 sentences of 315 tokens in the Ho language. The universal dependency guidelines have been followed for all the selected annotated sentences. The machine learning technique is used for morphological analysis of Ho treebank. The Ho language resources can be enhanced to create annotated treebanks. It will help in creation of language information systems for morphological analysis and cross-linguistic training. In the preliminary stages, we are using a machine learning approach to build Ho parsers. The linguistic study of the Ho universal dependency treebank is briefly mentioned in the conclusion section of this paper. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd."

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

Continuities

—

Publication year

2023

Confidentiality

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

Article name in the collection

"Smart Innov. Syst. Technol."

ISBN

978-981197512-7

ISSN

2190-3018

e-ISSN

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Number of pages

9

Pages from-to

519-527

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

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Event location

Cham

Event date

Jan 1, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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