Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/43690
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dc.contributor.authorArora, K K-
dc.contributor.authorAgrawal, S S-
dc.date.accessioned2018-03-06T09:12:43Z-
dc.date.available2018-03-06T09:12:43Z-
dc.date.issued2018-03-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/43690-
dc.description172-175en_US
dc.description.abstractLanguages have inherent property of tree-based recursive arrangement of phrases and follow a syntactic grammar. Phrase Based Translation is considered state-of-the-art in the field of statistical machine translation, but does not take into account the above mentioned properties of languages. Hierarchical and Syntax based machine translations are aimed to model these properties of languages. English-Hindi language pair, belonging to two different language families needs conversion of Subject-Verb-Object (SVO) structure of English to Subject-Object-Verb (SOV) structure of Hindi. This paper is aimed to perform comparative analysis of these models for this language pair which demands long distance movement of words or phrases.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.77(03) [March 2018]en_US
dc.subjectPhrase baseden_US
dc.subjectHierarchicalen_US
dc.subjectStatistical Machine Translationen_US
dc.titleComparative Analysis of Phrase Based, Hierarchical and Syntax Based Statistical Machine Translationen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.77(03) [March 2018]

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