Experimenting with reordering model of phrase-based machine translation system for English to Hindi
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10439917" target="_blank" >RIV/00216208:11320/21:10439917 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-981-15-4851-2_31" target="_blank" >https://doi.org/10.1007/978-981-15-4851-2_31</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-4851-2_31" target="_blank" >10.1007/978-981-15-4851-2_31</a>
Alternative languages
Result language
angličtina
Original language name
Experimenting with reordering model of phrase-based machine translation system for English to Hindi
Original language description
Hindi is the national language of India. However, most of the government records, resolutions, news, etc. are documented in English which native urban users may not understand. This fact motivates to develop an automatic language translation system from English to Hindi. Grammatical structure of the Hindi language is very much complex than the English language. This structural difference makes it difficult to achieve good quality translation results. Translation, reordering and language model are the main working components of a translation system. The translation quality depends on how these individual components of the system are configured. Many times the values of these components are language-dependent. Hence, proper settings of these components are very much essential. This paper discusses various settings of the reordering model and through experimentation demonstrates the proper values of the parameters for getting a quality translation from English to Hindi. The freely available n-gram-based BLEU metric and TER metric is used for evaluating the results.
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
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Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-981-15-4850-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
289-298
Publisher name
Springer
Place of publication
Singapore
Event location
Nanded
Event date
Jan 9, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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