Impact of Related Languages as Pivot Language on Machine Translation
Syed Afroz Ahmed1, Nisheeth Joshi2, Iti Mathur3, Pragya Katyayan4
1Syed Afroz Ahmed, Emirates Canadian University College, Umm Al Quwain, United Arab Emirates.
2Nisheeth Joshi, Department of Computer Science, Banasthali Vidyapith, (Rajasthan), India.
3Iti Mathur, Department of Computer Science, Banasthali Vidyapith, (Rajasthan), India.
4Pragya Katyayan, Department of Computer Science, Banasthali Vidyapith, (Rajasthan), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1539-1546 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2514037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper we have explored a pivot-based approach in 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 Urdu 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: Artificial Intelligence and Machine Learning