Universal Dependency Treebank for Ho Language

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Universal Dependency Treebank for Ho Language

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

Universal Dependency Treebank for Ho Language

Popis výsledku anglicky

"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."

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

"Smart Innov. Syst. Technol."

ISBN

978-981197512-7

ISSN

2190-3018

e-ISSN

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Počet stran výsledku

9

Strana od-do

519-527

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

—

Místo konání akce

Cham

Datum konání akce

1. 1. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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