Evaluation of the morphological rules for the Tenyidie language: a low-resource language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ANL4QDGKA" target="_blank" >RIV/00216208:11320/26:NL4QDGKA - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s10579-024-09788-y" target="_blank" >http://dx.doi.org/10.1007/s10579-024-09788-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10579-024-09788-y" target="_blank" >10.1007/s10579-024-09788-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of the morphological rules for the Tenyidie language: a low-resource language

Popis výsledku v původním jazyce

The Tenyidie language, a.k.a Angami language, is a low-resource language belonging to the Tibeto-Burman Language family, which is spoken by the Tenyimia Community and is considered a major language in Nagaland in the north-eastern part of India. Tenyidie is tonal, SOV, and highly agglutinative in its linguistics characteristics. Among the Natural Language Processing (NLP) tasks, part-of-speech (POS) tagging is one of the primary tasks that is used in building many other NLP tasks, such as dependency parsing, named entity recognition, machine translation, etc. The main aim of this paper is to evaluate the morphological rules in the Tenyidie Language by building a morphological rule-based POS tagger. In this work, the morphological rules have been evaluated on 158,403 annotated tokens in Tenyidie. To the best of the authors knowledge, there is no reported work on the evaluation of the morphological rules for the Tenyidie Language. The main contributions of this research are the evaluation of the existing morphological rules in the Tenyidie Language by building a morphological rule-based POS tagger, and the creation of 158,403 tokens annotated dataset for evaluating the morphological rules. In addition, we have introduced some new morphological rules. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Název v anglickém jazyce

Evaluation of the morphological rules for the Tenyidie language: a low-resource language

Popis výsledku anglicky

The Tenyidie language, a.k.a Angami language, is a low-resource language belonging to the Tibeto-Burman Language family, which is spoken by the Tenyimia Community and is considered a major language in Nagaland in the north-eastern part of India. Tenyidie is tonal, SOV, and highly agglutinative in its linguistics characteristics. Among the Natural Language Processing (NLP) tasks, part-of-speech (POS) tagging is one of the primary tasks that is used in building many other NLP tasks, such as dependency parsing, named entity recognition, machine translation, etc. The main aim of this paper is to evaluate the morphological rules in the Tenyidie Language by building a morphological rule-based POS tagger. In this work, the morphological rules have been evaluated on 158,403 annotated tokens in Tenyidie. To the best of the authors knowledge, there is no reported work on the evaluation of the morphological rules for the Tenyidie Language. The main contributions of this research are the evaluation of the existing morphological rules in the Tenyidie Language by building a morphological rule-based POS tagger, and the creation of 158,403 tokens annotated dataset for evaluating the morphological rules. In addition, we have introduced some new morphological rules. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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

2025

Kód důvěrnosti údajů

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

Název periodika

Language Resources and Evaluation

ISSN

1574-020X

e-ISSN

—

Svazek periodika

59

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

26

Strana od-do

3189-3214

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85210475503