Annotation Projection-based Dependency Parser Development for Nepali
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AYCYJ96EI" target="_blank" >RIV/00216208:11320/23:YCYJ96EI - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/summary/13f0cd58-cefa-451c-b019-593f55164d36-bb92386a/relevance/1" target="_blank" >https://www.webofscience.com/wos/woscc/summary/13f0cd58-cefa-451c-b019-593f55164d36-bb92386a/relevance/1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3542696" target="_blank" >10.1145/3542696</a>
Alternative languages
Result language
angličtina
Original language name
Annotation Projection-based Dependency Parser Development for Nepali
Original language description
"Building computational resources and tools for the under-resourced languages is strenuous for any Natural Language Processing task. This article presents the first dependency parser for an under-resourced Indian language, Nepali. A prerequisite for developing a parser for a language is a corpus annotated with the desired linguistic representations known as a treebank. With an aim of cross-lingual learning and typological research, we use a Bengali treebank to build a Bengali-Nepali parallel corpus and apply the method of annotation projection from the Bengali treebank to build a treebank for Nepali. With the developed treebank, MaltParser (with all algorithms for projective dependency structures) and a Neural network-based parser have been used to build Nepali parser models. The Neural network-based parser produced state-of-the-art results with 81.2 Unlabeled Attachment Score, 73.2 Label Accuracy, and 66.1 Labeled Attachment Score on the gold test data. The parser models have also been evaluated with the predicted Part-of-speech (POS)-tagged test data. A statistical POS tagger using Conditional Random Field has been developed for predicting the POS tags of the test data."
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING"
ISSN
2375-4699
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
1-19
UT code for WoS article
000963394900005
EID of the result in the Scopus database
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