JOURNAL ARTICLE

Hindi to Punjabi machine translation system based on statistical approach

Ajit KumarVishal Goyal

Year: 2018 Journal:   Journal of Statistics and Management Systems Vol: 21 (4)Pages: 547-552   Publisher: Taylor & Francis

Abstract

Machine Translation problem is an open area of research. It is a challenge to build a domain independent, effective and efficient MT System. The major approaches to machine translation encountered in literature are Word-for-Word Translation, Syntactic Transfer, Semantic Transfer, Interlingua Approach, Example Based Translation, and Statistical Approach to Translation. The existing Hindi to Punjabi MT systems have been developed using rule bases approach and word-for-word translation approach. The present paper is an attempt to study the Architecture of Hindi to Punjabi MT System based on Statistical Approach.

Keywords:
Computer science Machine translation Natural language processing Hindi Artificial intelligence Example-based machine translation Translation (biology) Word (group theory) Machine translation software usability Transfer-based machine translation Synchronous context-free grammar Evaluation of machine translation Linguistics

Metrics

9
Cited By
0.79
FWCI (Field Weighted Citation Impact)
5
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Natural Language Processing Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Translation Studies and Practices
Social Sciences →  Arts and Humanities →  Language and Linguistics

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