Empirical Analysis of Phrase-Based Statistical Machine Translation System for English to Hindi Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AMJVR9XHH" target="_blank" >RIV/00216208:11320/22:MJVR9XHH - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/S219688882250004X" target="_blank" >https://www.worldscientific.com/doi/10.1142/S219688882250004X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S219688882250004X" target="_blank" >10.1142/S219688882250004X</a>
Alternative languages
Result language
angličtina
Original language name
Empirical Analysis of Phrase-Based Statistical Machine Translation System for English to Hindi Language
Original language description
Hindi is the national language of India. However, most of the Government records, resolutions, news, etc. are documented in English which remote villagers may not understand. This fact motivates to develop an automatic language translation system from English to Hindi. Machine translation is the process of translating a text in one natural language into another natural language using computer system. Grammatical structure of Hindi language is very much complex than English language. The structural difference between English and Hindi language makes it difficult to achieve good quality translation results. In this paper, phrase-based statistical machine translation approach (PBSMT) is used for translation. Translation, reordering and language model are main working components of a PBSMT system. This paper evaluates the impact of various combinations of these PBSMT system parameters on automated English to Hindi language translation quality. Freely available n-gram-based BLEU metric and TER metric are used for evaluating the results.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Vietnam Journal of Computer Science
ISSN
2196-8888
e-ISSN
1469-8110
Volume of the periodical
09
Issue of the periodical within the volume
02
Country of publishing house
US - UNITED STATES
Number of pages
28
Pages from-to
135-162
UT code for WoS article
000797588800002
EID of the result in the Scopus database
2-s2.0-85117257628