Evaluation of the morphological rules for the Tenyidie language: a low-resource language
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Evaluation of the morphological rules for the Tenyidie language: a low-resource language
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Language Resources and Evaluation
ISSN
1574-020X
e-ISSN
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Volume of the periodical
59
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
26
Pages from-to
3189-3214
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85210475503