2025:
Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri and Sudip Kumar Naskar. HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. To be published in the 34th ACM International Conference on Information and Knowledge Management (CIKM 2025), November 10–14, 2025, Seoul, Korea.
Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri and Sudip Kumar Naskar. The Curious Case of Contexts in Retrieval-Augmented Generation with a Combination of Labelled and Unlabelled Data. In WIRES (Wiley Interdisciplinary Reviews) - Data Mining and Knowledge Discovery, 2025, 15:e70021, pp. 1-19.
2024:
Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri and Sudip Kumar Naskar. Chronological Evaluation of Emerging Methodology Extraction from AI Literature. In the Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2024), 16-20 December, 2024, Hong Kong.
Atanu Mandal, Santanu Pal, Indranil Dutta, Mahidas Bhattacharya, and Sudip Kumar Naskar. Is Attention always needed? A Case Study on Language Identification from Speech. In Natural Language Engineering, Cambridge University Press, 2024, pp. 1–27.
Payel Santra, Madhusudan Ghosh, Partha Basuchowdhuri, Debasis Ganguly and Sudip Kumar Naskar. "The absence of evidence is not the evidence of absence'': Fact Verification via Information Retrieval-based In-Context Learning. In the Springer LNCS Proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery (DAWAK 2024), 26-28 August, 2024, Naples, Italy, pp 381–387.
Madhusudan Ghosh, Shrimon Mukherjee, Asmit Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar and Debasis Ganguly. AlpaPICO: Extraction of PICO frames from clinical trial documents using LLMs. In Methods, Elsevier, Volume: 226, 2024, pp 78–88.
Neelabha Banerjee, Anubhav Sarkar, Swagata Chakraborty, Sohom Ghosh, Sudip Kumar Naskar. Fine-tuning Language Models for predicting the impact of events associated to financial news articles. To be published in the Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP), the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF), and The 4th Workshop on Economics and Natural Language Processing (ECONLP), in conjunction with LREC-COLING-2024, May 20, 2024, Torino, Italia.
Sohom Ghosh, Chung-Chi Chen and Sudip Kumar Naskar. Generator-Guided Crowd Reaction Assessment. In the Companion Proceedings of The 2024 ACM Web Conference (theWebConf 2024), 13-17 May, 2024, Singapore, pp. 597–600.
Sohom Ghosh, Arnab Maji, Aswartha Narayana and Sudip Kumar Naskar. IndicFinNLP: Financial Natural Language Processing for Indian Languages. In the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 20-25, 2024, Torino, Italy, pp. 9010–9018.
2023:
Atanu Mandal, Gargi Roy, Amit Barman, Indranil Dutta and Sudip Naskar. Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection. In the Proceedings of the 20th International Conference on Natural Language Processing (ICON 2023), Dec 14-17, 2023, Goa University, Goa, India, pp. 720-728.
Amit Barman, Devangan Roy, Debapriya Paul, Indranil Dutta, Shouvik Kumar Guha, Samir Karmakar and Sudip Naskar. Convolutional Neural Networks can achieve binary bail judgement classification. In the Proceedings of the 20th International Conference on Natural Language Processing (ICON 2023), Dec 14-17, 2023, Goa University, Goa, India, pp. 773-778.
Payel Santra, Madhusudan Ghosh, Shrimon Mukherjee, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar. Unleashing the Power of Large Language Models: A Hands-On Tutorial. In the ACM Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation 2023 (FIRE 2023), December 15-18, 2023, Goa Business School, Goa University, Panjim, India, pp. 149–152.
Rima Roy, Sohom Ghosh, Sudip Kumar Naskar. Financial Argument Analysis in Bengali. In the ACM Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation 2023 (FIRE 2023), December 15-18, 2023, Goa Business School, Goa University, Panjim, India, pp. 88–92.
Sohom Ghosh, Sachin Umrao, Chung-Chi Chen, Sudip Kumar Naskar. The Mask One At a Time Framework for Detecting the Relationship between Financial Entities. In the ACM Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation 2023 (FIRE 2023), December 15-18, 2023, Goa Business School, Goa University, Panjim, India, pp. 40–43.
Dhairya Suman, Atanu Mandal, Santanu Pal, Sudip Kumar Naskar. IACS-LRILT: Machine Translation for Low-Resource Indic Languages. In the Proceedings of the Eighth Conference on Machine Translation (WMT 2023), Singapore, pp. 972-977.
Swagata Chakraborty, Anubhav Sarkar, Dhairya Suman, Sohom Ghosh, Sudip Kumar Naskar. LIPI at the NTCIR-17 FinArg-1 Task: Using Pre-trained Language Models for Comprehending Financial Arguments. To be published in the Proceedings of the 17th NTCIR Conference (NTCIR-17), December 12-15, 2023, National Institute of Informatics, Tokyo, Japan.
Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar. Analyzing the Efficacy of LLM-Generated Evidences for Fact Verification: An In-depth Analysis. To be published in the Proceedings of the Workshop on Large Language Models’ Interpretation and Trustworthiness (LLMIT), in conjunction with CIKM 2023, 22 October, 2023, University of Birmingham and Eastside Rooms, UK.
Sohom Ghosh, Sudip Kumar Naskar. Recent trends in financial natural language processing research. In Science Talks, Elsevier, VOLUME 8, 100270, 2023, https://doi.org/10.1016/j.sctalk.2023.100270.
Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar. Extracting Methodology Components from AI Research Papers: A Data-driven Factored Sequence Labeling Approach. In the Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), October 21-25, 2023, University of Birmingham and Eastside Rooms, UK, pp. 3897–3901.
Sohom Ghosh, Ankush Chopra, Sudip Kumar Naskar. Learning Semantic Text Similarity to rank Hypernyms of Financial Terms. In SN Computer Science, Springer, 4, 610 (2023), https://doi.org/10.1007/s42979-023-02134-z.
Kalika Bali, Raghavendra Bhat, Sunayana Sitaram, Preethi Jyothi, Tanvina Patel, Srinivasa Raghavan, Deepu Vijayasenan, Jai Nanavati, Bharat Gupta, Dipti Misra Sharma, Neha Gupta, Prashant Verma, Pruthwik Mishra, Rohini Nookala, Sandipan Dandapat, Vandan Mujadia, Mahesh D. Kulkarni, Charudatta Jadhav, Srinivasan Ramakrishnan, Neha Aphale, Pushpak Bhattacharyya, Monojit Choudhury, Kripabandhu Ghosh, Priyanka Jain, Debdoot Mukherjee, Sudip Kumar Naskar, Santanu Pal. IEEE SA: Pre-Standardization Study for Indian Languages Report. 30 June 2023, 27 pages.
Sohom Ghosh and Sudip Kumar Naskar. FLUEnT: Financial Language Understandability Enhancement Toolkit. In the ACM Proceedings of the CODS-COMAD 2023: 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), January 4-7, 2023, IIT Bombay, Mumbai, India, pp. 258-262.
Sohom Ghosh and Sudip Kumar Naskar. Using Natural Language Processing to Enhance Understandability of Financial Texts. In the ACM Proceedings of the CODS-COMAD 2023: 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), January 4-7, 2023, IIT Bombay, Mumbai, India, pp. 301-302.
2022:
Piyal Roy, Rajat Pandit, Sudip Kumar Naskar. Fine Grained Sentiment Analysis in Bengali using Deep Learning based Models. To be published in the Proceedings of the 19th International Conference on Natural Language Processing (ICON 2022), 15-18 December, 2022, IIIT Delhi, India.
Rajarshi Roychoudhury, Subhrajit Dey, Md Shad Akhtar, Amitava Das and Sudip Kumar Naskar. A Novel Approach towards Cross Lingual Sentiment Analysis using Transliteration and Character Embedding. To be published in the Proceedings of the 19th International Conference on Natural Language Processing (ICON 2022), 15-18 December, 2022, IIIT Delhi, India.
Anubhav Sarkar, Swagata Chakraborty, Sohom Ghosh and Sudip Kumar Naskar. Evaluating Impact of Social Media Posts by Executives on Stock Prices. In the ACM Proceedings of the 14th Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE 2022), 9-13 December, 2022, ISI, Kolkata, India, pp. 74-82.
Sohom Ghosh & Sudip Kumar Naskar. LIPI at the FinNLP-2022 ERAI Task: Ensembling Sentence Transformers for Assessing Maximum Possible Profit and Loss from Online Financial Posts. In the Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), in conjunction with EMNLP-2022, December 8, 2022, Abu Dhabi, United Arab Emirates, pp. 111–115.
Sohom Ghosh & Sudip Kumar Naskar. Ranking Environment, Social And Governance Related Concepts And Assessing Sustainability Aspect Of Financial Texts. In the Proceedings of The 4th Workshop on Financial Technology and Natural Language Processing (FinNLP), in conjunction with IJCAI-ECAI-2022, July, 2022, Vienna, Austria, pp. 243–249.
Sohom Ghosh, Shovon Sengupta, Sudip Kumar Naskar and Sunny Kumar Singh. FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability. In the Proceedings of The 4th Financial Narrative Processing Workshop (FNP 2022), in conjunction with LREC 2022, 24 June, 2022, Marseille, France, pp. 1–9.
Sohom Ghosh and Sudip Kumar Naskar. LIPI at FinCausal 2022: Mining Causes and Effects from Financial Texts. In the Proceedings of The 4th Financial Narrative Processing Workshop (FNP 2022), in conjunction with LREC 2022, 24 June, 2022, Marseille, France, pp. 121–123.
Laishram Jimmy, Kishorjit Nongmeikappam & Sudip Kumar Naskar. BiLSTM-CRF Manipuri NER with Character-Level Word Representation. In Arabian Journal for Science and Engineering (SCIE Indexed), Springer, June, 2022.
Sohom Ghosh & Sudip Kumar Naskar. LIPI at the NTCIR-16 FinNum-3 Task: Ensembling transformer based models to detect in-claim numerals in Financial Conversations. In the Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies, June 14-17, 2022, Tokyo, Japan, pp. 92–94.
Sohom Ghosh & Sudip Kumar Naskar. Detecting context-based in-claim numerals in Financial Earnings Conference Calls. In International Journal of Information Technology, Springer, May 2022.
Sohom Ghosh & Sudip Kumar Naskar. Fincat-2: An enhanced Financial Numeral Claim Analysis Tool . In Software Impacts, VOLUME 12, 100288, Elsevier, April 2022.
Sohom Ghosh & Sudip Kumar Naskar. Fincat: Financial numeral claim analysis tool. In the Companion proceedings of the ACM Web Conference 2022 (WWW'22), Lyon, France, April 2022.
Sourav Mandal, Arif Ahmed Sekh & Sudip Kumar Naskar. Identification of Relevant Quantities in Arithmetic Word Problems Using Siamese Neural Network. In: Giri, D., Raymond Choo, KK., Ponnusamy, S., Meng, W., Akleylek, S., Prasad Maity, S. (eds) Proceedings of the Seventh International Conference on Mathematics and Computing. Advances in Intelligent Systems and Computing, vol 1412. Springer, pp. 415–426, March 2022.
Suparnakanti Das, Trishita Dhara, Sirshapan Mitra, Sudip Kumar Naskar. Understanding the Robustness in Phoneme Production Mechanism in English and Bengali. In the ACM Proceedings of the International Workshop on Networking Women in Distributed Computing and Networks (NWDCN 2022), collocated with ICDCN 2022, IIIT Delhi, India, January 4–7, 2022. [Best Paper Award]
2021:
Afia Fairoose Abedin, Amirul Islam Al Mamun, Rownak Jahan Nowrin, Amitabha Chakrabarty, Moin Mostakim and Sudip Kumar Naskar. A Deep Learning Approach To Integrate Human-Level Understanding In A Chatbot. To be published in the Proceedings of the 10th International Conference on Natural Language Processing (NLP 2021), Sydney, Australia, December 23–24, 2021, pp. 107–122.
Sohom Ghosh, Shovon Sengupta, Sudip Kumar Naskar, Sunny Kumar Singh. FinRead: A Transfer Learning Based Tool to Assess Readability of Definitions of Financial Terms. In the Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), NIT Silchar, Assam, India, December 16–19, 2021, pp. 658–659.
Sandip Dutta, Utso Majumder, Sudip Kumar Naskar. An Efficient BERT Based Approach to Detect Aggression and Misogyny. In the Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), NIT Silchar, Assam, India, December 16–19, 2021, pp. 493–498.
Kumar Gourav Das, Braja Gopal Patra and Sudip Kumar Naskar. Profiling Celebrity Profession from Twitter Data. In the Proceedings of The International Conference on Asian Language Processing (IALP 2021), Yantai, China, 11-13 December 2021.
Rajarshi Roychoudhury and Sudip Kumar Naskar. Fine-tuning BERT to Classify COVID19 Tweets Containing Symptoms. In the Proceedings of the Sixth Social Media Mining for Health Workshop 2021 (SMM4H), June 10, 2021, pp. 138–140.
Sourav Mandal and Sudip Kumar Naskar. Classifying and Solving Arithmetic Math Word Problems – an Intelligent Math Solver. In IEEE Transactions on Learning Technologies, Volume 14, Issue 1, pp. 28–41, 08 February 2021.
Alok Ranjan Pal, Diganta Saha, Niladri Sekhar Dash, Sudip Kumar Naskar. In Search of a Suitable Method for Disambiguation of Word Senses in Bengali. In International Journal of Speech Technology, Springer, February 2021.
Atanu Mandal, Amir Sinaeepourfard and Sudip Kumar Naskar. Deep Learning based Visual Data Analysis in Integrated Edge to Cloud Computing Environment. In the ACM ICDCN '21: Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking, Nara, Japan, January, 2021., pp. 7–12.
2020:
Jimmy Laishram, Kishorjit Nongmeikapam and Sudip Kumar Naskar. Deep Neural Model for Manipuri Multiword Named Entity Recognition with Unsupervised Cluster Feature. To be published in proceedings of The 17th International Conference on Natural Language Processing (ICON 2020), IIT Patna, India, December 2020.
Sukriti Si, Anisha Datta and Sudip Kumar Naskar. A New Approach to Claim Check-Worthiness Prediction and Claim Verification. To be published in proceedings of The 17th International Conference on Natural Language Processing (ICON 2020), IIT Patna, India, December 2020.
Souvick Das, Rajat Pandit and Sudip Kumar Naskar. A Rule Based Lightweight Bengali Stemmer. To be published in proceedings of The 17th International Conference on Natural Language Processing (ICON 2020), IIT Patna, India, December 2020.
Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krueger, Josef van Genabith. The Transference Architecture for Automatic Post-Editing. In the proceedings of The 28th International Conference on Computational Linguistics (COLING’2020), Barcelona, Spain, December 2020, pp. 5963–5974.
Anisha Datta, Shukrity Si, Urbi Chakraborty, Sudip Kumar Naskar. Spyder: Aggression Detection on Multilingual Tweets. In the Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying (TRAC-2), Marseille, France, May 2020, pages 87–92.
Rohini Basak, Sudip Kumar Naskar and Alexander Gelbukh. 2020. A Lexico-Syntactic-Semantic Approach to Recognizing Textual Entailment. In Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu and Mingbo Zhao (eds.), Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence, IGI Global, pp. 187–227.
Somnath Banerjee, Monojit Choudhury, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Sivaji Bandyopadhyay, and Paolo Rosso. MSIR@FIRE: A Comprehensive Report from 2013 to 2016. SN Computer Science, Springer, January 2020, Volume 1:55, pp. 1–15.
2019:
Shibaprasad Sen, Ankan Bhattacharyya, Mridul Mitra, Kaushik Roy, Sudip Kumar Naskar, and Ram Sarkar. Online Bangla Handwritten Word Recognition Using HMM and Language Model. Neural Computing and Applications, Springer, October 2019, pp. 1–13. (SCIE indexed, Impact Factor: 4.664)
Kumar Gourav Das, Braja Gopal Patra and Sudip Kumar Naskar. Celebrity Profiling from Twitter Data. To be published in the IEEE Proceedings of the International Conference on Asian Language Processing (IALP 2019), Shanghai, China.
Avishek Garain, Arpan Basu, Rudrajit Dawn and Sudip Kumar Naskar. Sentence Simplification using Syntactic Parse Trees. In the IEEE Proceedings of the 4th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, 2019, pp. 672–676.
Pratyoy Das and Sudip Kumar Naskar. Selection of Connecting Phrases in Weather Forecast. In the Springer AISC Proceedings of the International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCMLA), 16-17 August 2019, Goa, India, pp. 33–42.
Sourav Mandal, Sk Arif Ahmed and Sudip Kumar Naskar. Solving Arithmetic Word Problems: a Deep Learning Based Approach. To be published in Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press. (SCIE Indexed)
Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso and Sivaji Bandyopadhyay. Classifier Combination Approach for Question Classification for Bengali Question Answering System. In Sādhanā, Springer, Volume 44 (247), December 2019, pp. 1–14. (SCIE indexed)
Santanu Pal, Hongfei Xu, Nico Herbig, Sudip Kumar Naskar, Antonio Krueger, Josef van Genabith. The Transference Architecture for Automatic Post-Editing. arXiv preprint arXiv:1908.06151
Arpan Basu, Avishek Garain, Sudip Kumar Naskar. Word Difficulty Prediction Using Convolutional Neural Networks. In the Proceedings of IEEE Region 10 flagship Conference (TENCON 2019), Kochi, Kerala, India, pp. 1109–1112.
Riktim Mondal, Shankha Raj Nayek, Aditya Chowdhury, Santanu Pal, Sudip Kumar Naskar, Josef van Genabith. JU-Saarland Submission in the WMT2019 English–Gujarati Translation Shared Task. In the Proceedings of Fourth Conference on Machine Translation (WMT19), Florence, Italy, pp. 308–313.
Alok Kumar Pal, Diganta Saha, Niladri Sekhar Dash, Sudip Kumar Naskar and Antara pal. A Novel Approach to Word Sense Disambiguation in Bengali Language using Supervised Methodology. In Sādhanā, Springer, Volume 44 (181), Issue 8, August 2019, pp. 1–12. (SCIE indexed)
Sourav Mandal and Sudip Kumar Naskar. Solving Arithmetic Word Problems by Object Oriented Modeling and Query-based Information Processing. In International Journal on Artificial Intelligence Tools, World Scientific, Vol. 28, No. 4, July 2019, 1940002 (23 pages). (SCIE indexed)
Mihaela Vela, Santanu Pal, Marcos Zampieri, Sudip Kumar Naskar and Josef van Genabith. Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation. In the Proceedings of 17th Machine Translation Summit (MT Summit XVII), Volume 2, Dublin, Ireland, pp. 8–15 .
Preeti Mukherjee, Mainak Pal, Somnath Banerjee and Sudip Kumar Naskar. 2019. JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets. In the Proceedings of the Thirteenth Workshop on Semantic Evaluation (SemEval 2019), Minneapolis, Minnesota, USA, pp. 658–663.
Rohini Basak, Sudip Kumar Naskar and Alexander Gelbukh. Automatic Short Answer Grading Using Textual Entailment. In Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press, May 2019, vol. 36, no. 5, pp. 4909–4919 . (SCIE Indexed)
Saptarshi Sengupta, Rajat Pandit, Parag Mitra, Sudip Kumar Naskar and Mohini Mohan Sardar. Word Sense Induction in Bengali Using Parallel Corpora and Distributional Semantics. In Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press, May 2019, vol. 36, no. 5, pp. 4821–4832 . (SCIE Indexed)
Rajat Pandit, Saptarshi Sengupta, Sudip Kumar Naskar, Niladri Sekhar Dash, Mohini Mohan Sardar. Improving Semantic Similarity with Cross-Lingual Resources: A Study in Bangla – A Low Resourced Language. In Informatics, MDPI, Volume 6, Issue 2, May 2019, pp. 1–21.
Poulami Das, Sudip Kumar Naskar, and Sankar Narayan Patra. Fast Converging Cuckoo Search Algorithm to Design Symmetric FIR Filters. In International Journal of Computers and Applications, Taylor & Francis, February 2019, pp. 1–18.
Amit Majumder, Asif Ekbal and Sudip Kumar Naskar. 2019. Feature Selection using NSGA-II for Event extraction on genetic and molecular mechanisms involved in plant seed development. In the Springer AISC Proceedings of the International Conference on Computational Intelligence in Pattern Recognition (CIPR 2019), IIEST, Shibpur, India, pp. 33-43.
Amit Majumder, Asif Ekbal and Sudip Kumar Naskar. Bio-molecular Event Extraction by integrating multiple Event Extraction Systems. In Sādhanā, Springer, Volume 44 (12), Issue 1, January 2019, pp. 1–7. (SCIE Indexed)
2018:
Joybrata Panja and Sudip Kumar Naskar. 2018. ITER: Improving Translation Edit Rate through Optimizable Edit Costs. In the Proceedings of the Third Conference on Statistical Machine Translation (WMT 2018), Brussels, Belgium, pp. 746–750.
Prasenjit Basu, Santanu Pal and Sudip Kumar Naskar. 2018. Keep It or Not: Word Level Quality Estimation for Post-Editing. In the Proceedings of the Third Conference on Statistical Machine Translation (WMT 2018), Brussels, Belgium, pp. 759–764.
Poulami Das, Sudip Kumar Naskar, and Sankar Narayan Patra. Hardware Efficient FIR Filter Design using Global Best Steered Quantum Inspired Cuckoo Search Algorithm. In Applied Soft Computing, Elsevier, Volume 71, October 2018, pp. 1–19. (SCIE Indexed, Impact Factor: 3.907)
Sourav Mandal and Sudip Kumar Naskar. 2019. Solving Arithmetic Mathematical Word Problems: A Review and Recent Advancements. P. Chandra, D. Giri, F. Li, S. Kar, D. Jana (eds) Information Technology and Applied Mathematics. Advances in Intelligent Systems and Computing, vol. 699. Springer. pp. 95–114.
Rohini Basak, Sudip Kumar Naskar, and Alexander Gelbukh. A Simple Hybrid Approach to Recognizing Textual Entailment. In Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press, May 2018, vol. 34, no. 5, pp. 2873–2885. (SCIE Indexed, Impact Factor: 1.426)
Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso and Sivaji Bandyopadhyay. Code Mixed CrossScript Factoid Question Classification - A Deep Learning Approach. In Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press, May 2018, vol. 34, no. 5, pp. 2959–2969. (SCIE Indexed, Impact Factor: 1.426)
Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal and Pushpak Bhattacharyya. Recognizing Textual Entailment Using Weighted Dependency Relations. In the Springer LNCS Proceedings of The 19th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2018), Hanoi, Vietnam, March 18–24, 2018, pp. 221–233.
Amitrajit Sarkar, Surajit Dasgupta, Sudip Kumar Naskar, Sivaji Bandyopadhyay. Says Who? Deep Learning Models for Joint Speech Recognition, Segmentation and Diarization. In the Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Alberta, Canada, pp. 5229–5233.
2017:
Alok Ranjan Pal, Diganta Saha, Sudip Kumar Naskar, Niladri Sekhar Das. Word Sense Disambiguation in Bangla: Looking into the Adopted Methodologies and Proposing Some Extensions. In Journal of Advanced Linguistic Studies, Vol. 6, No. 1&2, pp. 45–66, Jan-Dec 2017, ISSN: 2231-4075.
Sourav Mandal and Sudip Kumar Naskar. Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems. In the Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), Jadavpur, India, pp. 146–154 .
Ajay Shankar Tiwari and Sudip Kumar Naskar. Normalization of Social Media Text using Deep Neural Networks. In the Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), Jadavpur, India, pp. 312–321 .
Joy Mahapatra and Sudip Kumar Naskar. Unsupervised Morpheme Segmentation Through Numerical Weighting and Thresholding. In the Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017), Jadavpur, India, pp. 298–304 .
Sourav Mandal and Sudip Kumar Naskar. 2017. Towards Generating Object-Oriented Programs Automatically from Natural Language Texts for Solving Mathematical Word Problems. In the LNCS Proceedings of the 22nd International Conference on Natural Language & Information Systems (NLDB 2017), Liège, Belgium, pp. 222–226.
Amit Majumder, Asif Ekbal and Sudip Kumar Naskar. 2017. Feature Selection and Class-Weight tuning using Genetic Algorithm for Bio-molecular Event Extraction. In the LNCS Proceedings of the 22nd International Conference on Natural Language & Information Systems (NLDB 2017), Liège, Belgium, pp. 28–33.
Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso and Sivaji Bandyopadhyay. 2017. Named Entity Recognition on Code-Mixed Cross-Script Social Media Content. In Computación y Sistemas, Vol. 21, No. 4, 2017, pp. 681–692. doi: 10.13053/CyS-21-4-2850.
Tanik Saikh, Sudip Kumar Naskar, Asif Ekbal and Sivaji Bandyopadhyay. 2017. Textual Entailment Using Machine Translation Evaluation Metrics. In the Springer LNCS Proceedings of The 18th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2017), Budapest, Hungary, pp. 317–328.
Santanu Pal, Sudip Kumar Naskar, Mihaela Vela, Qun Liu and Josef van Genabith. 2017. Neural Automatic Post-Editing UsingPrior Alignment and Reranking. In the Proceedings of The 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017), Valencia, Spain, pp. 349–355.
2016:
Somnath Banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, and and Monojit Choudhury. 2016. Overview of the Mixed Script InformationRetrieval (MSIR) at FIRE. In the Springer LNCS Proceedings of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, pp. 39–49.
Tanik Saikh, Sudip Kumar Naskar, Sivaji Bandyopadhyay. 2016. JU_NLP@DPIL-FIRE2016: ParaphraseDetection in Indian Languages - A Machine Learning Approach. In Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, CEUR Workshop Proceedings. CEUR-WS.org.
Surajit Dasgupta, Abhash Kumar, Dipankar Das, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2016. Word Embeddings forInformation Extraction from Tweets. In Working notes of FIRE 2016 - Forum for Information Retrieval Evaluation, Kolkata, India, CEUR Workshop Proceedings. CEUR-WS.org.
Amit Majumder, Asif Ekbal and Sudip Kumar Naskar. 2016. BiomolecularEvent Extraction using a Stacked Generalization based Classifier. In the Proceedings of the 13th International Conference on Natural Language Processing (ICON-2016), IIT (BHU), Varanasi, India, pp. 55–64.
Santanu Pal, Sudip Kumar Naskar, Marcos Zampieri, Tapas Nayak and Josef van Genabith. CATaLog Online: A Web-based CAT Tool for Distributed Translation with Data Capture for APE and Translation Process Research. In the Proceedings of The 26th International Conference on Computational Linguistics (COLING 2016): System Demonstrations, Osaka, Japan, pp. 98–102.
Santanu Pal, Sudip Kumar Naskar and Josef van Genabith. Multi-Engine and Multi-Alignment Automatic Post-Editing and its Impact on Translation Productivity. In the Proceedings of The 26th International Conference on Computational Linguistics (COLING 2016): Technical Papers, Osaka, Japan, pp. 2559–2570.
Joy Mahapatra, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2016. Statistical Natural Language Generation from Tabular Non-textual Dataset. In the Proceedings of the International Natural Language Generation conference (INLG-2016), Edinburgh, Scotland, pp. 143–152.
Koushik Pahari, Alapan Kuila, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay and Josef van Genabith. 2016. JU-USAAR: A Domain Adaptive MT System. In the Proceedings of the ACL 2016 First Conference on Machine Translation (WMT16), Berlin, Germany, pp. 442–448.
Santanu Pal, Sudip Kumar Naskar, Mihaela Vela and Josef van Genabith. 2016. A Neural Network based Approach to Automatic Post-Editing. In the Proceedings of the The 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, pp. 281–286.
Santanu Pal and Sudip Kumar Naskar. 2016. Hybrid Word Alignment. In M.R. Costa-jussà et al. (eds.), Hybrid Approaches to Machine Translation, Theory and Applications of Natural Language Processing, Springer International Publishing Switzerland, pp. 57–75.
Tapas Nayek, Santanu Pal, Sudip Kumar Naskar, Sivaji Bandyopadhyay and Josef van Genabith. 2016. Beyond Translation Memories: Generating Translation Suggestions based on Parsing and POS Tagging. In the Proceedings of the 2nd Workshop on Natural Language Processing for Translation Memories (NLP4TM 2016), Portorož, Slovenia, pp. 12–20.
Santanu Pal, Sudip Kumar Naskar and Josef van Genabith. 2016. Forest to String Based Statistical Machine Translation with Hybrid Word Alignments. In the Proceedings of the 17th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016), Konya, Turkey.
Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso and Sivaji Bandyopadhyay. 2016. The First Cross-Script Code-Mixed Question Answering Corpus. In the Proceedings of Modeling, Learning and Mining for Cross/Multilinguality Workshop (MultiLingMine 2016), Padua, Italy, pp. 56–65.
Santanu Pal, Tapas Nayek, Sudip Kumar Naskar, Marcos Zampieri, Mihaela Vela and Josef van Genabith. 2016. CATaLog Online: Porting aPost-editing Tool to the Web. In the Proceedings of the 10th edition of the Language Resources and Evaluation Conference (LREC 2016), Portorož, Slovenia, pp. 599–604.
2015:
Royal Sequiera, Monojit Choudhury, Parth Gupta, Paolo Rosso, Shubham Kumar, Somnath Banerjee, Sudip Kumar Naskar, Sivaji Bandyopadhyay, Gokul Chittaranjan, Amitava Das, Kunal Chakma. 2015. Overviewof FIRE-2015 Shared Task on Mixed Script Information Retrieval. In the Working Notes in Forum for Information Retrieval Evaluation (FIRE 2015), Gandhinagar, India, pp. 19–25.
Soumik Mandal, Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay. Adaptive Voting in Multiple Classifier Systems for Word Level Language Identification. In the Working Notes in Forum for Information Retrieval Evaluation (FIRE 2015), Gandhinagar, India, pp. 47–50.
Sombuddha Choudhury, Somnath Banerjee, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay. 2015. EntityExtraction from Social Media using Machine Learning Approaches. In the Working Notes in Forum for Information Retrieval Evaluation (FIRE 2015), Gandhinagar, India, pp. 103–106.
Rohini Basak, Sudip Kumar Naskar, Partha Pakray, and Alexander Gelbukh. Recognizing Textual Entailment by Soft Dependency Tree Matching. In Computación y Sistemas, 12/2015; 19(4):685–700. DOI:10.13053/CyS-19-4-2331.
Proceedings of the 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). Editors: Debasish Jana, Debotosh Bhattacharjee, Subhadip Basu, Sarbani Roy, Sudip Kumar Naskar, Nibaran Das. IEEE Catalog Number: CFP1542P-ART, ISBN: 978-1-4799-8349-0. 2015. 553 pages.
Tapas Nayek, Sudip Kumar Naskar, Santanu Pal, Marcos Zampieri, Mihaela Vela and Josef van Genabith. CATaLog:New Approaches to TM and Post Editing Interfaces. In the Proceedings of the 1st Workshop on Natural Language Processing for Translation Memories (NLP4TM), collocated with RANLP 2015, Hissar, Bulgaria, pp. 36–42.
Santanu Pal, Mihaela Vela, Sudip Kumar Naskar, Josef van Genabith. 2015. USAAR-SAPE: AnEnglish–Spanish Statistical Automatic Post-Editing System. In the Proceedings of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015), Lisbon, Portugal, pp. 216-221.
Santanu Pal, Sudip Kumar Naskar, Josef van Genabith. 2015. UdS-Sant: English–German Hybrid MachineTranslation System. In the Proceedings of the EMNLP 2015 Tenth Workshop on Statistical Machine Translation (WMT 2015), Lisbon, Portugal, pp. 152-157.
Sukanya Dutta, Tista Saha, Somnath Banerjee, Sudip Kumar Naskar. 2015. Text Normalization in Code-Mixed Social Media Text. In the IEEE CS Proceedings of the 2nd International Conference on Recent Trends in Information Systems (ReTIS-2015), Kolkata, India.
Rajat Pandit, Sudip Kumar Naskar. 2015. A Memory Based Approach to Bengali Word Sense Disambiguation Using kNN Method. In the IEEE CS Proceedings of the 2nd International Conference on Recent Trends in Information Systems (ReTIS-2015), Kolkata, India, pp. 383–386.
Alok Pal, Diganta Saha, Sudip Kumar Naskar, Niladri Sekhar Dash. 2015. Word Sense Disambiguation in Bengali: A Lemmatized System Increases the Accuracy of the Result. In the IEEE CS Proceedings of the 2nd International Conference on Recent Trends in Information Systems (ReTIS-2015), Kolkata, India, pp. 342–346.
Tanik Saikh, Sudip Kumar Naskar, Chandan Giri, Sivaji Bandyopadhyay. 2015. Textual Entailment Using Different Similarity Metrics. In the Springer LNCS Proceedings of the 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING - 2015), Cairo, Egypt, pp. 491–501.
2014:
Somnath Banerjee, Aniruddha Roy, Alapan Kuila, Sudip Kumar Naskar, Sivaji Bandyopadhyay, and Paolo Rosso. 2014. A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post Processing Heuristics. In the Proceedings of the Sixth Workshop of the Forum for Information Retrieval Evaluation (FIRE 2014), Bangalore, India.
Santanu Pal, Braja Gopal Patra, Dipankar Das, Sudip Kumar Naskar, Sivaji Bandyopadhyay, and Josef van Genabith. 2014. How Sentiment Analysis Can Help Machine Translation. In the Proceedings of the 11th International Conference on Natural Language Processing (ICON-2014), Goa, India.
Federico Gaspari, Antonio Toral, Sudip Kumar Naskar, Declan Groves, and Andy Way. 2014. Perception vs Reality: Measuring Machine Translation Post-Editing Productivity. In the Proceedings of The Third Workshop on Post-editing Technology and Practice (WPTP 2014), Vancouver, Canada, pp. 60-72.
Somnath Banerjee, Pintu Lohar, Sudip Kumar Naskar, and Sivaji Bandyopadhyay. 2014. The First Resource for Bengali Question Answering Research. In the Springer LNCS Proceedings of the 9th International Conference on Natural Language Processing (PolTAL 2014), Warsaw, Poland, pp. 290-297.
Somnath Banerjee, Sudip Kumar Naskar, and Sivaji Bandyopadhyay. 2014. BFQA: A Bengali Factoid Question Answering System. In the Springer LNCS Proceedings of the 17th International Conference on Text, Speech and Dialogue (TSD 2014), Brno, Czech Republic, pp. 217-224.
Somnath Banerjee, Sudip Kumar Naskar, and Sivaji Bandyopadhyay. 2014. Bengali Named Entity Recognition using Margin Infused Relaxed Algorithm. In the Springer LNCS Proceedings of the 17th International Conference on Text, Speech and Dialogue (TSD 2014), Brno, Czech Republic, pp. 125-132.
Santanu Pal, Pintu Lohar and Sudip Kumar Naskar. 2014. Role of Paraphrases in PB-SMT. In the Springer LNCS Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING - 2014), Kathmandu, Nepal, pp. 242-253.
Santanu Pal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2014. Word Alignment-Based Reordering of Source Chunks in PB-SMT. In the Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), Reykjavik, Iceland, pp. 3565-3571.
Santanu Pal, Partha Pakray, Sudip Kumar Naskar. 2014. Automatic Building and Using Parallel Resources for SMT from Comparable Corpora. In the Proceedings of EACL-2014 Workshop on Hybrid Approaches to Translation (HyTra), Gothenburg, Sweden, pp. 47-56.
2013:
Santanu Pal, Mahammed Hasanuzzaman, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2013. Impact of Linguistically Motivated Shallow Phrases in PB-SMT. In the Proceedings of In the 10th International Conference on Natural Language Processing (ICON-2013), Noida, India, pp. 272-277.
Sudip Kumar Naskar, Antonio Toral, Federico Gaspari and Declan Groves. 2013. Meta-Evaluation of a Diagnostic Quality Metric for Machine Translation. In the Proceedings of the Machine Translation Summit XIV, Nice, France. pp. 135-142.
Santanu Pal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2013. MWE Alignment in Phrase Based Statistical Machine Translation. In the Proceedings of the Machine Translation Summit XIV, Nice, France. pp. 61-68.
Santanu Pal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. 2013. A Hybrid Word Alignment Model for Phrase-Based Statistical Machine Translation. In the Proceedings of ACL-2013 Workshop on Hybrid Approaches to Translation (HyTra), Sofia, Bulgaria. pp. 94-101.
Antonio Toral, Sudip Kumar Naskar, Joris Vreeke, Federico Gaspari and Declan Groves. 2013. A Web Application for the Diagnostic Evaluation of Machine Translation over Specific Linguistic Phenomena. In the Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT'2013) Demonstration Session, Atlanta, Georgia, pp. 20-23.
Renu Balyan, Sudip Kumar Naskar, Antonio Toral and Niladri Chatterjee. 2013. A Diagnostic Evaluation approach for English to Hindi MT Using Linguistic Checkpoints. (Adjudged third best poster). In the Springer LNCS Proceedings of the 14th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING), Samos, Greece, pp. 285-296.
2012:
Emerging Applications of Natural Language Processing: Concepts and New Research. Editors: Sivaji Bandyopadhyay, Sudip Kumar Naskar and Asif Ekbal. Publisher: IGI Global, Pennsylvania, US. October, 2012. 388 pages.
Antonio Toral, Sudip Kumar Naskar, Federico Gaspari and Declan Groves. DELiC4MT: A Tool for Diagnostic MT Evaluation over User-defined Linguistic Phenomena. In Prague Bulletin of Mathematical Linguistics. Number 98, September 2012, pp. 121-131.
Renu Balyan, Sudip Kumar Naskar, Antonio Toral and Niladri Chatterjee. 2012. A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages. In the Proceedings of the COLING-2012 Workshop on MT and Parsing in Indian Languages (MTPIL), Mumbai, India, pp. 61-72.
Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way and Josef van Genabith. 2012. Translation Quality-Based Supplementary Data Selection by Incremental Update of Translation Models. In the Proceedings of the 24th International Conference on Computational Linguistics (COLING-2012), Mumbai, India, pp. 149-166.
Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way and Josef van Genabith. 2012. Domain adaptation in SMT of user-generated forum content guided by OOV word reduction: normalization and/or supplementary data?. In Proceedings of the 16th Annual Conference of the European Association for Machine Translation (EAMT 2012), Trento, Italy, ed. Mauro Cettolo, Marcello Federico, Lucia Specia, Andy Way; pp.169-176.
2011:
Rejwanul Haque, Sudip Kumar Naskar, Antal van den Bosch and Andy Way. Integrating Source-Language Context into Phrase-Based Statistical Machine Translation. In Machine Translation Journal. Volume 25, Number 3, September 2011, Publisher: Springer Science, pp. 239-285.
Pratyush Banerjee, Hala Almaghout, Sudip Naskar, Johann Roturier, Jie Jiang, Andy Way and Josef van Genabith. 2011.The DCU Machine Translation Systems for IWSLT 2011. In the Proceedings of the International Workshop on Spoken Language Translation (IWSLT-2011), San Francisco, CA, pp. 41-48.
Federico Gaspari, Antonio Toral, Sudip Kumar Naskar and Andy Way. 2011. User-Focused Task-Oriented MT Evaluation for Wikis: A Case Study. In the Proceedings of the The Third Joint EM+/CNGL Workshop (JEC2011) "Bringing MT to the User: Research Meets Translators", European Commission, Luxembourg, pp. 13-22.
Pratyush Banerjee, Sudip Kumar Naskar, Johann Roturier, Andy Way and Josef Van Genabith. 2011. Domain Adaptation in Statistical Machine Translation of User-Forum Data using Component Level Mixture Modelling. In the Proceedings of the Machine Translation Summit XIII, Xiamen, China. pp. 285-292.
Sudip Kumar Naskar, Antonio Toral, Federico Gaspari and Andy Way. 2011. A Framework for Diagnostic Evaluation of MT based on Linguistic Checkpoints. In the Proceedings of the Machine Translation Summit XIII, Xiamen, China. pp. 529-536.
Sarah Ebling, Andy Way, Martin Volk and Sudip Kumar Naskar. 2011. Combining Semantic and Syntactic Generalization in Example-Based Machine Translation. In the Proceedings of The 15th Annual Conference of the European Association for Machine Translation (EAMT-2011), Leuven, Belgium, pp. 209-216.
Antonio Toral, Federico Gaspari, Sudip Kumar Naskar and Andy Way. 2011. Comparative Evaluation of Research vs. Online MT Systems. In the Proceedings of The 15th Annual Conference of the European Association for Machine Translation (EAMT-2011), Leuven, Belgium, pp. 13-20.
2010:
Sandipan Dandapat, Sara Morrissey, Sudip Kumar Naskar and Harold Somers. 2010. Statistically Motivated Example-based Machine Translation using Translation Memory. In the Proceedings of The 8th International Conference on Natural Language Processing (ICON 2010), IIT Kharagpur, India.
Rejwanul Haque, Marta R. Costa-jussà , Sudip Kumar Naskar, Rafael E. Banchs and Andy Way. 2010. Sentence Similarity-Based Source Context Modelling in PBSMT. In the IEEE CS Proceedings of The International Conference on Asian Language Processing (IALP 2010), Harbin, China, pp. 257-260.
Sandipan Dandapat, Harold Somers, Sara Morriessy and Sudip Kumar Naskar. 2010. Mitigating Problems in Analogy-based EBMT with SMT and vice versa: a Case Study with Named Entity Transliteration. In the Proceedings of The 24th Pacific Asia Conference on Language, Information and Computation (PACLIC 24), Sendai, Japan.
Pratyush Banerjee, Jinhua Du, Sudip Kumar Naskar, Baoli Li, Andy Way and Josef Van Genabith. 2010. Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers. In the Proceedings of The Ninth Conference of the Association for Machine Translation in the Americas (AMTA 2010), Denver, Colorado, 10pp.
Rejwanul Haque, Sudip Kumar Naskar, Antal van den Bosch and Andy Way. 2010. Supertags as Source Language Context in Hierarchical Phrase-Based SMT. In the Proceedings of The Ninth Conference of the Association for Machine Translation in the Americas (AMTA 2010), Denver, Colorado, 10pp.
Santanu Pal, Sudip Kumar Naskar, Pavel Pecina, Sivaji Bandyopadhyay and Andy Way. 2010. Handling Named Entities and Compound Verbs in Phrase-Based Statistical Machine Translation. In the Proceedings of the COLING 2010 Workshop on Multiword Expressions: from Theory to Applications (MWE 2010), Beijing, China, pp. 46-54.
Sergio Penkale, Rejwanul Haque, Sandipan Dandapat, Pratyush Banerjee, Ankit K. Srivastava, Jinhua Du, Pavel Pecina, Sudip Kumar Naskar, Mikel L. Forcada, Andy Way. 2010. MATREX: The DCU MT System for WMT 2010. In the Proceedings of the ACL 2010 Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR (WMT 2010), Uppsala, Sweden, pp. 143-148.
Tsuyoshi Okita, Jie Jiang, Rejwanul Haque, Hala Al-Maghout, Jinhua Du, Sudip Kumar Naskar and Andy Way. 2010.MaTrEx: the DCU MT System for NTCIR-8. In the Proceedings of NTCIR-8, Tokyo, Japan, pp. 377-383.
2009:
Rejwanul Haque, Sudip Kumar naskar, Antal van den Bosch & Andy Way. 2009. Dependency Relations as Source Context in Phrase-Based SMT. In the Proceedings of PACLIC 23: the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC 2009), Hong Kong, pp. 170-179.
Rejwanul Haque, Sudip Kumar naskar, Josef van Genebith & Andy Way. 2009. Experiments on Domain Adaptation for English--Hindi SMT. In the Proceedings of PACLIC 23: the 23rd Pacific Asia Conference on Language, Information and Computation (PACLIC 2009), Hong Kong, pp. 670-677.
Harold Somers, Sandipan Dandapat & Sudip Kumar Naskar. 2009. A review of EBMT using proportional analogies. In the Proceedings of the 3rd International Workshop on Example-Based Machine Translation, November 12-13, 2009, Dublin, Ireland, pp. 53-60.
Tsuyoshi Okita, Sudip Kumar naskar & Andy Way. 2009. Noise Reduction Experiments in Machine Translation. In the Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Project Exhibition poster presentations; Bled, Slovenia.
Rejwanul Haque, Sandipan Dandapat, Ankit Kumar Srivastava, Sudip Kumar Naskar & Andy Way. 2009. English-Hindi Transliteration Using Context-Informed PB-SMT: the DCU system for NEWS 2009. In the Proceedings of the Named Entities Workshop (NEWS-2009, co-located with ACL-IJCNLP 2009); August 7, 2009, Singapore, pp. 104-107.
Rejwanul Haque, Sudip Kumar Naskar, Yanjun Ma & Andy Way. 2009. Using Supertags as Source Language Context in SMT. In Proceedings of the 13th Annual Meeting of the European Association for Machine Translation (EAMT-09), May 14-15, 2009, Barcelona, Spain, pp.234-241.
2008:
Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque, Srinivasa Rao Godavarthy; Bengali, Hindi and Telugu to English Ad-Hoc Bilingual Task at CLEF 2007. In Lecture Notes In Computer Science. "Advances in Multilingual and Multimodal Information Retrieval". 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, Budapest, Hungary, September 19-21, 2007, Revised Selected Papers. Section: Part I: Multilingual Textual Document Retrieval (Ad Hoc): Cross-Language: Non-European. Pages: 88-94. 2008.
Ankit Kumar Srivastava, Rejwanul Haque, Sudip Kumar Naskar & Andy Way. 2008. MaTrEx: The DCU MT System for ICON 2008. In Proceedings of the NLP Tools Contest: Statistical Machine Translation (English to Hindi), 6th International Conference on Natural Language Processing (ICON-2008), Pune, India, 4pp.
Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque & Srinivasa Rao Godavarthy. 2008. Bengali, Hindi and Telugu to English Ad-hoc Bilingual task. In the Proceedings of 2nd International Workshop on Cross Lingual Information Access (CLIA, co-located with IJCNLP-2008), January 11, 2008, Hyderabad, India. pp. 66.
2007:
Asif Ekbal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. A Generalized Named Entity Transliteration System: Bengali and English as Case Study. International Journal of Translation, ISSN 0940-9819. Vol. 19, No. 1, Jan-June 2007, pp. 117-132.
Asif Ekbal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. Named Entity Recognition and Transliteration in Bengali. In the Named Entities: Recognition, Classification and Use, special issue of Lingvisticæ Investigationes 30:1(2007), Sekine, Satoshi and Elisabete Ranchhod (eds.), ISSN: 0378-4169. Publisher: John Benjamins Publishing Company, pp. 95-114.
Asif Ekbal, Sudip Kumar Naskar and Sivaji Bandyopadhyay. Named Entity Transliteration. In the International Journal of Computer Processing Of Languages (IJCPOL), Print ISSN: 0219-4279, Online ISSN: 1793-6748. Publisher: World Scientific Publishing Co., Volume 20, Issue 4, December 2007, pp. 289-310.
Asif Ekbal, Sudip Kumar Naskar & Sivaji Bandyopadhyay. 2007. Language Independent Named Entity Transliteration. In the Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI-07), December 17-19, 2007, Pune, India, pp. 1936-1950.
Sivaji Bandyopadhyay, Tapabrata Mondal, Sudip Kumar Naskar, Asif Ekbal, Rejwanul Haque & Srinivasa Rao Godavarthy; Bengali, Hindi and Telugu to English Ad-hoc Bilingual task at CLEF 2007. In Alessandro Nardi and Carol Peters, editors, Working Notes for the Cross Language Evaluation Forum (CLEF 2007) Workshop, 19-21 September 2007, Budapest, Hungary.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; JU-SKNSB: Extended WordNet Based WSD on the English All-Words Task at SemEval-1. In the Proceedings of the 4th International Workshop on Semantic Evaluations (SemEval-2007, co-located with ACL-2007); June 23-24, 2007, Prague, Czech Republic, pp. 203-206.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; Extended WordNet Based Word Sense Disambiguation. In the Proceedings of the Eighth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing-2007); February 18-24, 2007, Mexico City, Mexico.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; Word Sense Disambiguation Using Extended WordNet. In the IEEE CS Proceedings of the International Conference on Computing: Theory and Applications (ICCTA); March 5-7, 2007, Kolkata, India, pp. 446-450.
2006:
Sudip Kumar Naskar; A Phrasal EBMT System for Translating English to Bengali. In the Proceedings of the Workshop on Language, Artificial Intelligence, and Computer Science for Natural Language Processing Applications (LAICS-NLP); October 19, 2006, Bangkok, Thailand, pp. 69-72.
Asif Ekbal, Sudip Kumar Naskar and Sivaji Bandyopadhyay; A Modified Joint Source-Channel Model for Transliteration. In the Proceedings of COLING-ACL 2006, The Joint 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics; July 17-21, 2006, Sydney, Australia, pp. 191-198.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; Handling of Prepositions in English to Bengali Machine Translation. In the Proceedings of the Third ACL-SIGSEM Workshop on Prepositions; April 3, 2006, Trento, Italy, pp.89–94.
2005:
Shovanlal Gayen, Bikash Debnath, Anindya Basu, Soma Samanta, Balaram Ghosh, Sudip Kumar Naskar, and Tarun Jha;QSAR Study on Some Ethenesulfonamide Derivatives as Endothelin Receptor Antagonists. In the Internet Electronic Journal of Molecular Design - IEJMD, BioChem Press, ISSN 1538-6414, CODEN: IEJMAT, 2005, Volume 4, Number 3, pp. 210-220.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; Transliteration of Indian Names from English to Bengali. In the Proceedings of the Platinum Jubilee International Conference of LSI; December 6-8, 2005, University of Hyderabad, India.
Sudip Naskar and Sivaji Bandyopadhyay; Use of Machine Translation in India: Current Status. In the Proceedings of MT SUMMIT X; September 13-15, 2005, Phuket, Thailand, pp.465-470.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; A Phrasal EBMT System for Translating English to Bengali. In the Proceedings of MT SUMMIT X; September 13-15, 2005, Phuket, Thailand, pp. 372-379.
Sudip Naskar and Sivaji Bandyopadhyay; Using Bangla Synthesis Rules in an English-Bangla Machine Translation System. In the Proceedings of Workshop on Indian Language Morphology; March 31, 2005, IIT Bombay, India.
2004:
Sudip Kumar Naskar and Sivaji Bandyopadhyay; Sense Disambiguation Scheme Using Selectional Restrictions in Anubaad – an English-Bangla MT System. In the Proceedings of the International Symposium on Machine Translation, NLP and TSS (iSTRANS-2004); November 17-19, 2004, New Delhi, India.
Sudip Kumar Naskar and Sivaji Bandyopadhyay; ANUBAAD - A Hybrid Machine Translation System from English to Bangla. In the Proceedings of Symposium on Indian Morphology, Phonology and Language Engineering (SIMPLE-2004); March 19-21, 2004, IIT Kharagpur, India.
2003:
Bikash Debnath, Shovanlal Gayen, Sudip Kumar Naskar, Kunal Roy and Tarun Jha. 2003. QSAR study on some Azidopyridinyl Neonicotinoids Insecticides for Their Selective Affinity Towards the Drosophila Nicotinic Receptor over Mammalian α4β2 Receptor Using Electrotopological State Atom Index. In Drug Design and Discovery, Publisher: Taylor & Francis Ltd, ISSN 1055-9612, CODEN: DDDIEV, Volume 18, Numbers 2-3, April-June 2003, 81-89.
Bikash Debnath, Soma Samanta, Sudip Kumar Naskar, Kunal Roy and Tarun Jha. 2003. QSAR study on the affinity of some arylpiperazines towards the 5-HT1A/α1-adrenergic receptor Using E-state index. In Bioorganic & Medicinal Chemistry Letters, Publisher: Elsevier Science, ISSN 0960-894X, CODEN: BMCLE8, Volume 13, Issue 17, 1 September 2003, Pages 2837-2842.
Sudip Naskar and Sivaji Bandyopadhyay; Translation of Verb Phrases from English to Bangla. In the Proceedings of the International Conference on Communications, Devices and Intelligent Systems (CODIS); January 8-10, 2004, Kolkata, India.