Issues in Word Alignment from Hindi-English Languages
Shachi Mall1, Umesh Chandra Jaiswal2
1Shachi Mall, Department of Computer Science & Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P), India.
2Umesh Chandra Jaiswal, Department of Computer Science & Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (U.P), India.
Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 18-21 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10040886S19/19©BEIESP | DOI: 10.35940/ijeat.F1004.0886S19
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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: The paper discusses the various methods and issues related to word alignment. This paper focus on the main problem arises in word alignment because Hindi language is based on subject object verb “SVO” and for English language is subject verb objects “SOV”. Hindi is morphology rich language, therefore correct alignment of word order from Hindi to English language is quite difficult. The paper presents survey on for foreign and Indian language of word alignment in the application of machine translation.
Keywords: Word Alignment, Semi Supervised, Unsupervised, Machine Translation.
Scope of the Article: Machine Learning