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Sata-anuvadak: Tackling multiway translation of indian languages
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/414_Paper.pdf (2014)
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The iit bombay hindi-english translation system at wmt 2014
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In: http://www.statmt.org/wmt14/pdf/W14-3308.pdf (2014)
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Facilitating Multi-Lingual Sense Annotation: Human Mediated Lemmatizer
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In: http://anthology.aclweb.org/W/W14/W14-0130.pdf (2014)
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The iit bombay hindi-english translation system at wmt 2014
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In: http://anthology.aclweb.org/W/W14/W14-3308.pdf (2014)
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1 Sentiment Analysis A Literature Survey
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In: http://www.cfilt.iitb.ac.in/resources/surveys/SA-Literature Survey-2012-Subhabratam.pdf (2012)
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Together we can: Bilingual bootstrapping for WSD
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In: http://www.cse.iitb.ac.in/~pb/papers/acl11-bilingual-bootstrapping.pdf (2011)
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Indowordnet
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In: http://www.cse.iitb.ac.in/~pb/papers/lrec2010-indowordnet.pdf (2010)
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Value for money: Balancing annotation effort, lexicon building and accuracy for multilingual wsd
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In: http://www.cse.iitb.ac.in/~pb/papers/coling10-language-adptation.pdf (2010)
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Multilingual PRF: english lends a helping hand
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In: http://www.cs.cornell.edu/~karthik/Publications/PDF/chinnakotla_etal_10a.pdf (2010)
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Value for money: Balancing annotation effort, lexicon building and accuracy for multilingual wsd
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In: http://aclweb.org/anthology-new/C/C10/C10-1063.pdf (2010)
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Hybrid Stemmer for Gujarati
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In: http://aclweb.org/anthology-new/W/W10/W10-3607.pdf (2010)
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Verbs are where all the Action Lies: Experiences of Shallow Parsing of a Morphologically Rich Language
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In: http://www.cse.iitb.ac.in/~pb/papers/coling10-marathi-shallow-parsing.pdf (2010)
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P.: Multilingual pseudo-relevance feedback: performance study of assisting languages
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In: http://aclweb.org/anthology-new/P/P10/P10-1137.pdf (2010)
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Projecting parameters for multilingual word sense disambiguation
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In: http://www.mt-archive.info/EMNLP-2009-Khapra.pdf (2009)
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Projecting parameters for multilingual word sense disambiguation
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In: http://www.cse.iitb.ac.in/~pb/papers/emnlp09-wsd.pdf (2009)
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Simple syntactic and morphological processing can help English-Hindi statistical machine translation
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In: http://aclweb.org/anthology/I/I08/I08-1067.pdf (2008)
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Abstract:
In this paper, we report our work on incorporating syntactic and morphological information for English to Hindi statistical machine translation. Two simple and computationally inexpensive ideas have proven to be surprisingly effective: (i) reordering the English source sentence as per Hindi syntax, and (ii) using the suffixes of Hindi words. The former is done by applying simple transformation rules on the English parse tree. The latter, by using a simple suffix separation program. With only a small amount of bilingual training data and limited tools for Hindi, we achieve reasonable performance and substantial improvements over the baseline phrase-based system. Our approach eschews the use of parsing or other sophisticated linguistic tools for the target language (Hindi) making it a useful framework for statistical machine translation from English to Indian languages in general, since such tools are not widely available for Indian languages currently. 1
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URL: http://aclweb.org/anthology/I/I08/I08-1067.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.4166
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Simple syntactic and morphological processing can help English-Hindi statistical machine translation
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In: http://www.mt-archive.info/IJCNLP-2008-Ramanathan.pdf (2008)
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Hindi Urdu Machine Transliteration using Finite-state Transducers
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In: http://www.cse.iitb.ac.in/~pb/papers/coling08-hindi-urdu-camera-ready-1jul08.pdf (2008)
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