Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10492523" target="_blank" >RIV/00216208:11320/19:10492523 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/W19-1420/" target="_blank" >https://aclanthology.org/W19-1420/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/W19-1420" target="_blank" >10.18653/v1/W19-1420</a>
Alternative languages
Result language
angličtina
Original language name
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts
Original language description
Identification of the languages written using cuneiform symbols is a difficult task due to the lack of resources and the problem of tokenization. The Cuneiform Language Identification task in VarDial 2019 addresses the problem of identifying seven languages and dialects written in cuneiform; Sumerian and six dialects of Akkadian language: Old Babylonian, Middle Babylonian Peripheral, Standard Babylonian, Neo-Babylonian, Late Babylonian, and Neo-Assyrian. This paper describes the approaches taken by SharifCL team to this problem in VarDial 2019. The best result belongs to an ensemble of Support Vector Machines and a naive Bayes classifier, both working on character-level features, with macro-averaged F1-score of 72.10%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Sixth Workshop on NLP for Similar Languages, Varieties and Dialects
ISBN
978-1-950737-11-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
188-193
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Minneapolis, MN, USA
Event date
Jun 7, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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