Sudip Kumar Naskar

Sudip Kumar Naskar, Sankar Narayan Patra, Poulami Das, 2017, 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

Statistical Natural Language Generation from Tabular Non-textual Data

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Joy Mahapatra, 2016, INLG.

MSIR@FIRE: A Comprehensive Report from 2013 to 2016

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Paolo Rosso, 2020, SN Comput. Sci..

Improving Lesk by Incorporating Priority for Word Sense Disambiguation

Sudip Kumar Naskar, Rajat Pandit, Saptarshi Sengupta, 2018, 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT).

Bio-molecular event extraction by integrating multiple event-extraction systems

Sudip Kumar Naskar, Asif Ekbal, Amit Majumder, 2019 .

CATaLog Online: Porting a Post-editing Tool to the Web

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2016, LREC.

Says Who? Deep Learning Models for Joint Speech Recognition, Segmentation and Diarization

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Surajit Dasgupta, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Selection of Connecting Phrases in Weather Forecast

Sudip Kumar Naskar, Pratyoy Das, 2020 .

CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2016, COLING.

Keep It or Not: Word Level Quality Estimation for Post-Editing

Santanu Pal, Sudip Kumar Naskar, Prasenjit Basu, 2018, WMT.

A Modified Joint Source-Channel Model for Transliteration

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal, 2006, ACL.

A memory based approach to word sense disambiguation in Bengali using k-NN method

Sudip Kumar Naskar, Rajat Pandit, S. Naskar, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Text normalization in code-mixed social media text

Somnath Banerjee, Sudip Kumar Naskar, Sukanya Dutta, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation

Andy Way, Sivaji Bandyopadhyay, Santanu Pal, 2010, MWE@COLING.

A simple hybrid approach to recognizing textual entailment

Sudip Kumar Naskar, Alexander F. Gelbukh, Rohini Basak, 2018, J. Intell. Fuzzy Syst..

A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena

Antonio Toral, Sudip Kumar Naskar, Federico Gaspari, 2013, HLT-NAACL.

Normalization of Social Media Text using Deep Neural Networks

Sudip Kumar Naskar, Ajay Shankar Tiwari, 2017, ICON.

An Approach for obtaining Least Noisy Signal using Kaiser Window and Genetic Algorithm

Sudip Kumar Naskar, Sankar Narayan Patra, Poulami Das, 2016 .

Hardware efficient FIR filter design using Global Best Steered Quantum Inspired Cuckoo Search Algorithm

Sudip Kumar Naskar, Sankar Narayan Patra, Poulami Das, 2018, Appl. Soft Comput..

Mitigating Problems in Analogy-based EBMT with SMT and vice versa: A Case Study with Named Entity Transliteration

Sudip Kumar Naskar, Harold L. Somers, Sandipan Dandapat, 2010, PACLIC.

Feature Selection and Class-Weight Tuning Using Genetic Algorithm for Bio-molecular Event Extraction

Sudip Kumar Naskar, Asif Ekbal, Amit Majumder, 2017, NLDB.

MaTrEx: the DCU MT System for NTCIR-8

Andy Way, Sudip Kumar Naskar, Hala Almaghout, 2010, NTCIR.

How Sentiment Analysis Can Help Machine Translation

Josef van Genabith, Braja Gopal Patra, Dipankar Das, 2014, ICON.

Handling of Prepositions in English to Bengali Machine Translation

Sivaji Bandyopadhyay, Sudip Kumar Naskar, S. Naskar, 2006, ACL 2006.

JU-Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2019, WMT.

Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models

Andy Way, Josef van Genabith, Sudip Kumar Naskar, 2012, COLING.

Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation pdf

Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, 2019, MTSummit.

Textual Entailment Using Different Similarity Metrics

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Chandan Giri, 2015, CICLing.

Role of Paraphrases in PB-SMT

Santanu Pal, Sudip Kumar Naskar, Pintu Lohar, 2014, CICLing.

A Neural Network based Approach to Automatic Post-Editing

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2016, ACL.

Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2015, FIRE Workshops.

Automatic Building and Using Parallel Resources for SMT from Comparable Corpora

Santanu Pal, Sudip Kumar Naskar, Partha Pakray, 2014, HyTra@EACL.

Statistically Motivated Example-based Machine Translation using Translation Memory

Sudip Kumar Naskar, Harold L. Somers, Sandipan Dandapat, 2010 .

Emerging Applications of Natural Language Processing: Concepts and New Research

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal, 2012 .

A Comparative Evaluation of Research vs. Online MT Systems

Andy Way, Antonio Toral, Sudip Kumar Naskar, 2011, EAMT.

A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2014, FIRE.

Biomolecular Event Extraction using a Stacked Generalization based Classifier

Sudip Kumar Naskar, Asif Ekbal, Amit Majumder, 2016, ICON.

Using Supertags as Source Language Context in SMT

Yanjun Ma, Andy Way, Sudip Kumar Naskar, 2009, EAMT.

Overview of the Mixed Script Information Retrieval (MSIR) at FIRE-2016

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2016, FIRE.

UdS-Sant: English–German Hybrid Machine Translation System

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2015, WMT@EMNLP.

Word Alignment-Based Reordering of Source Chunks in PB-SMT

Sivaji Bandyopadhyay, Santanu Pal, Sudip Kumar Naskar, 2014, LREC.

Meta-Evaluation of a Diagnostic Quality Metric for Machine Translation

Antonio Toral, Sudip Kumar Naskar, Federico Gaspari, 2013, MTSUMMIT.

A Diagnostic Evaluation Approach for English to Hindi MT Using Linguistic Checkpoints and Error Rates

Niladri Chatterjee, Antonio Toral, Sudip Kumar Naskar, 2013, CICLing.

A Lexico-Syntactic-Semantic Approach to Recognizing Textual Entailment

Sudip Kumar Naskar, Alexander Gelbukh, Rohini Basak, 2020 .

Aggression Detection on Multilingual Social Media Text

Sudip Kumar Naskar, Anisha Datta, Shukrity Si, 2019, 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT).

Word Sense Disambiguation Using Extended WordNet

Sivaji Bandyopadhyay, Sudip Kumar Naskar, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

JU-USAAR: A Domain Adaptive MT System

Josef van Genabith, Sivaji Bandyopadhyay, Santanu Pal, 2016, WMT.

Word sense disambiguation in Bengali: A lemmatized system increases the accuracy of the result

Sudip Kumar Naskar, Niladri Sekhar Dash, Alok Ranjan Pal, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Word sense disambiguation in Bengali: A knowledge based approach using Bengali WordNet

Sudip Kumar Naskar, Alok Ranjan Pal, Diganta Saha, 2017, 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).

Forest to String Based Statistical Machine Translation with Hybrid Word Alignments

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2016, CICLing.

Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity

Josef van Genabith, Santanu Pal, Sudip Kumar Naskar, 2016, COLING.

Solving Arithmetic Word Problems by Object Oriented Modeling and Query-Based Information Processing

Sudip Kumar Naskar, Sourav Mandal, 2019, Int. J. Artif. Intell. Tools.

An approach to optimize FIR filter coefficients using GA, PSO and BAT algorithm and their comparative analysis

Sudip Kumar Naskar, Sankar Narayan Patra, Sourav Samanta, 2016, 2016 International Conference on Computer, Electrical & Communication Engineering (ICCECE).

Adaptive Voting in Multiple Classifier Systems for Word Level Language Identification

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2015, FIRE Workshops.

Solving arithmetic word problems: A deep learning based approach

Sudip Kumar Naskar, Arif Ahmed Sekh, Sourav Mandal, 2020, J. Intell. Fuzzy Syst..

Bengali Named Entity Recognition Using Margin Infused Relaxed Algorithm

Somnath Banerjee, Sivaji Bandyopadhyay, Sudip Kumar Naskar, 2014, TSD.

Dependency Relations as Source Context in Phrase-Based SMT

Andy Way, Sudip Kumar Naskar, Antal van den Bosch, 2009, PACLIC.

JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Tanik Saikh, 2016, FIRE.

Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems

Sudip Kumar Naskar, Sourav Mandal, 2017, NLDB.

A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages

Niladri Chatterjee, Antonio Toral, Sudip Kumar Naskar, 2012 .

Named Entity Recognition and transliteration in Bengali

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal, 2007 .

A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation

Sivaji Bandyopadhyay, Santanu Pal, Sudip Kumar Naskar, 2013, HyTra@ACL.

A novel approach to word sense disambiguation in Bengali language using supervised methodology

Sudip Kumar Naskar, Alok Ranjan Pal, Diganta Saha, 2019, Sādhanā.

Classifier combination approach for question classification for Bengali question answering system pdf

Somnath Banerjee, Sivaji Bandyopadhyay, Sudip Kumar Naskar, 2019, Sādhanā.

DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena

Antonio Toral, Sudip Kumar Naskar, Federico Gaspari, 2012, Prague Bull. Math. Linguistics.

Online Bangla handwritten word recognition using HMM and language model

Ram Sarkar, Sudip Kumar Naskar, Kaushik Roy, 2019, Neural Computing and Applications.

Textual Entailment Using Machine Translation Evaluation Metrics

Sivaji Bandyopadhyay, Sudip Kumar Naskar, Asif Ekbal, 2017, CICLing.

Fast Converging Cuckoo Search Algorithm to design symmetric FIR filters

Sudip Kumar Naskar, Sankar Narayan Patra, Poulami Das, 2019, International Journal of Computers and Applications.

Recognizing Textual Entailment by Soft Dependency Tree Matching

Sudip Kumar Naskar, Alexander F. Gelbukh, Partha Pakray, 2015, Computación y Sistemas.

Domain Adaptation in SMT of User-Generated Forum Content Guided by OOV Word Reduction: Normalization and/or Supplementary Data

Andy Way, Josef van Genabith, Sudip Kumar Naskar, 2012, EAMT.

Code mixed cross script factoid question classification - A deep learning approach

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2018, J. Intell. Fuzzy Syst..

English-Hindi Transliteration Using Context-Informed PB-SMT: the DCU System for NEWS 2009

Andy Way, Sudip Kumar Naskar, Rejwanul Haque, 2009, NEWS@IJCNLP.

An approach to enhance performance of Kaiser window based filter

Sudip Kumar Naskar, Sankar Narayan Patra, Poulami Das, 2016, 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN).

Named Entity Recognition on Code-Mixed Cross-Script Social Media Content

Somnath Banerjee, Paolo Rosso, Sivaji Bandyopadhyay, 2017, Computación y Sistemas.

MaTrEx: The DCU Machine Translation System for ICON 2008

Andy Way, Sudip Kumar Naskar, Rejwanul Haque, 2008 .

JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1

Sivaji Bandyopadhyay, Sudip Kumar Naskar, 2007, SemEval@ACL.

BFQA: A Bengali Factoid Question Answering System

Somnath Banerjee, Sivaji Bandyopadhyay, Sudip Kumar Naskar, 2014, TSD.

Profiling Celebrity Profession from Twitter Data

Braja Gopal Patra, Sudip Kumar Naskar, Kumar Gourav Das, 2021, 2021 International Conference on Asian Language Processing (IALP).

Understanding the Robustness in Phoneme Production Mechanism in English and Bengali

Sudip Kumar Naskar, Suparnakanti Das, Trishita Dhara, 2022, ICDCN.

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot pdf

Sudip Kumar Naskar, Amitabha Chakrabarty, Moin Mostakim, 2021, Natural Language Processing.

Is Attention always needed? A Case Study on Language Identification from Speech pdf

Santanu Pal, Sudip Kumar Naskar, Indranil Dutta, 2021, ArXiv.

In search of a suitable method for disambiguation of word senses in Bengali

Sudip Kumar Naskar, Niladri Sekhar Dash, Alok Ranjan Pal, 2021, International Journal of Speech Technology.

MWE Alignment in Phrase Based Statistical Machine Translation

Sivaji Bandyopadhyay, Santanu Pal, Sudip Kumar Naskar, 2013, MTSUMMIT.