Experimenting with reordering model of phrase-based machine translation system for English to Hindi

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Experimenting with reordering model of phrase-based machine translation system for English to Hindi

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Experimenting with reordering model of phrase-based machine translation system for English to Hindi

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

978-981-15-4850-5

ISSN

—

e-ISSN

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Počet stran výsledku

10

Strana od-do

289-298

Název nakladatele

Springer

Místo vydání

Singapore

Místo konání akce

Nanded

Datum konání akce

9. 1. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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