PanchBhoota: Hierarchical phrase based machine translation systems for five Indian languages

dc.contributor.author	Prabhugaonkar, N.R.
dc.contributor.author	Pawar, J.D.
dc.contributor.author	Nagvenkar, A.S.
dc.contributor.author	Bhattacharyya, P.
dc.contributor.author	Kanojia, D.
dc.contributor.author	Shrivastava, M.
dc.date.accessioned	2015-10-28T04:53:28Z
dc.date.available	2015-10-28T04:53:28Z
dc.date.issued	2014
dc.identifier.citation	11. Int. Conf. Natural Language Processing (ICON-2014), Goa Univ., Goa. 18-21 Dec 2014. 6pp.	en_US
dc.identifier.uri	http://www.cse.iitb.ac.in/~diptesh/paper/icon-2014-smtcompetition.pdf
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/4180
dc.description.abstract	We present our work on developing fifteen Hierarchical Phrase Based Statistical Machine Translation (HPBSMT) systems for five Indian language pairs namely Bengali-Hindi, English-Hindi, Marathi-Hindi, Tamil-Hindi, and Telugu-Hindi, in three domains each, HEALTH, TOURISM and GENERAL. We named them PanchBhoota, as these systems are elemental in nature. We used a very simple approach to train, tune, and test them using cdec toolkit. We hope that this work will motivate Indian Language Machine Translation researchers to look deeper into the field of HPBSMT which is known to perform better than Phrase Based Statistical Machine Translation.	en_US
dc.publisher	LTRC, IIIT, Hyderabad	en_US
dc.subject	Computer Science and Technology	en_US
dc.title	PanchBhoota: Hierarchical phrase based machine translation systems for five Indian languages	en_US
dc.type	Conference article	en_US