Implications of English as a Pivot Language in Arabic-Hindi Machine Translation
Syed Afroz Ahmed1, Nisheeth Joshi2, Iti Mathur3, Pragya Katyayan4

1Syed Afroz Ahmed, Emirates Canadian University College, Umm Al Quwain, United Arab Emirates. Nisheeth Joshi, Department of Computer Science, Banasthali Vidyapith (Rajasthan), India.
2Iti Mathur, Department of Computer Science, Banasthali Vidyapith (Rajasthan), India.
3Pragya Katyayan, Department of Computer Science, Banasthali Vidyapith (Rajasthan), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 271-277 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6037048419/19©BEIESP
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Abstract: In this paper, we have explored a pivot-based approach in the development of machine translation system whose parallel corpus is not available. For our study, we have taken Arabic-Hindi as the language pair for development of MT system and English as the pivot language. We have developed 4 MT systems using this approach. These 4 MT systems work on different methodologies. Among them Hierarchical Phrase-Based Machine Translation System produced better results.
Keywords: Machine Translation, Pivot Languages, Statistical Machine Translation, Arabic, Hindi

Scope of the Article: Machine Learning