Sudip Kumar Naskar

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SIVAJI BANDYOPADHYAYProfessor of Computer Science and Engineering, Jadavpur University, Kolkata, IndiaVerified email at cse.jdvu.ac.in
Andy WayADAPT Centre, Dublin City UniversityVerified email at adaptcentre.ie
Santanu PalSaarland UniversityVerified email at uni-saarland.de
Josef van GenabithDFKI German Research Center for Artificial IntelligenceVerified email at dfki.de
Rejwanul HaqueADAPT Centre, School of Computing, National College of IrelandVerified email at adaptcentre.ie
Asif EkbalDepartment of Computer Science and Engineering, IIT Patna, IndiaVerified email at iitp.ac.in
Paolo RossoFull Professor, Computer Science, Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Antonio ToralAssistant Professor, University of GroningenVerified email at rug.nl
Pratyush BanerjeePost Doctoral Researcher, CNGL, School of Computing, Dublin City University & Symantec Research LabsVerified email at computing.dcu.ie
Sandipan DandapatMicrosoft, IndiaVerified email at microsoft.com
Bikash DebnathAssistant Research ScientistVerified email at umich.edu
Johann RoturierNortonLifeLock Research GroupVerified email at nortonlifelock.com
Ankit Kumar SrivastavaSaal Operating Systems LLC, German Research Center for Artificial Intelligence (DFKI)Verified email at saal.ai
Sourav MandalAssistant Professor, Xavier University BhubaneswarVerified email at xub.edu.in
Declan GrovesSenior Program Manager, MicrosoftVerified email at microsoft.com
Tapas NayakIndian Institute of Technology, KharagpurVerified email at u.nus.edu
Monojit ChoudhuryPrincipal Researcher, Microsoft Research Lab IndiaVerified email at microsoft.com
Amitava DasWipro AI Lab, Bangalore, IndiaVerified email at iiits.in
Jinhua DuInvestments AI, American International Group (AIG)Verified email at aig.com
Marcos ZampieriRochester Institute of TechnologyVerified email at rit.edu

Sudip Kumar Naskar

Associate Professor, Computer Science & Engineering, Jadavpur University, India

Verified email at cse.jdvu.ac.in - Homepage

Natural Language Processing Computational Linguistics


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A modified joint source-channel model for transliteration A Ekbal, SK Naskar, S Bandyopadhyay Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 191-198, 2006	81	2006
Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval R Sequiera, M Choudhury, P Gupta, P Rosso, S Kumar, S Banerjee, ... In the Working Notes in Forum for Information Retrieval Evaluation (FIRE …, 2015	50	2015
Named entity recognition and transliteration in Bengali A Ekbal, SK Naskar, S Bandyopadhyay Lingvisticae Investigationes 30 (1), 95-114, 2007	50	2007
Use of machine translation in India: Current status S Naskar, S Bandyopadhyay AAMT Journal, 25-31, 2005	49	2005
Combining multi-domain statistical machine translation models using automatic classifiers P Banerjee, J Du, B Li, S Kumar Naskar, A Way, J Van Genabith Association for Machine Translation in the Americas, 2010	45	2010
Perception vs reality: Measuring machine translation post-editing productivity F Gaspari, A Toral, SK Naskar, D Groves, A Way Third Workshop on Post-Editing Technology and Practice 60, 2014	42	2014
Handling named entities and compound verbs in phrase-based statistical machine translation S Pal, S Kumar Naskar, P Pecina, S Bandyopadhyay, A Way Association for Computational Linguistics, 2010	42	2010
QSAR Study on the Affinity of Some Arylpiperazines towards the 5-HT1A/[alpha] 1-Adrenergic Receptor Using the E-State Index B Debnath, S Samanta, SK Naskar, K Roy, T Jha Bioorganic & medicinal chemistry letters 13 (17), 2837-2842, 2003	40	2003
A neural network based approach to automatic post-editing S Pal, SK Naskar, M Vela, J van Genabith Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	37	2016
Using supertags as source language context in SMT R Haque, SK Naskar, Y Ma, A Way European Association for Machine Translation, 2009	36	2009
Handling of prepositions in English to Bengali machine translation SK Naskar, S Bandyopadhyay Proceedings of the Third ACL-SIGSEM Workshop on Prepositions, 2006	36	2006
Domain adaptation in SMT of user-generated forum content guided by OOV word reduction: Normalization and/or supplementary data P Banerjee, SK Naskar, J Roturier, A Way, J van Genabith Proceedings of the 16th Annual conference of the European Association for …, 2012	31	2012
Automatic building and using parallel resources for SMT from comparable corpora S Pal, P Pakray, SK Naskar Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation …, 2014	30	2014
A phrasal EBMT system for translating English to Bengali SK Naskar, S Bandyopadhyay Satellite Workshop, 69, 2006	27	2006
Domain adaptation in statistical machine translation of user-forum data using component level mixture modelling P Banerjee, SK Naskar, J Roturier, A Way, J Van Genabith Proceedings of Machine Translation Summit XIII, Xiamen, China, 285-292, 2011	26	2011
English-Hindi transliteration using context-informed PB-SMT: the DCU system for NEWS 2009 R Haque, S Dandapat, A Srivastava, SK Naskar, A Way Proceedings of the 2009 Named Entities Workshop: Shared Task on …, 2009	26	2009
QSAR study on some azidopyridinyl neonicotinoids insecticides for their selective affinity towards the Drosophila nicotinic receptor over mammalian α4β2 receptor using … B Debnath, S Gayen, SK Naskar, K Roy, T Jha Drug Des. Discov 18 (2-3), 81-89, 2003	24	2003
Overview of the mixed script information retrieval (msir) at fire-2016 S Banerjee, K Chakma, SK Naskar, A Das, P Rosso, S Bandyopadhyay, ... Forum for Information Retrieval Evaluation, 39-49, 2016	22	2016
The First Cross-Script Code-Mixed Question Answering Corpus. S Banerjee, SK Naskar, P Rosso, S Bandyopadhyay MultiLingMine@ ECIR, 56-65, 2016	22	2016
A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post Processing Heuristics S Banerjee, A Roy, A Kuila, SK Naskar, S Bandyopadhyay, P Rosso	22	2014

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