NLPExplorer

Sudip Kumar Naskar

Number of Papers:- 59

Number of Citations:- 71

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

COLING

*SEMEVAL

ACL

HyTra

FNP

EACL

ICON

DravidianLangTech

PACLIC

NAACL

PREP

IWSLT

INLG

WMT

TRAC

IJCNLP

EAMT

EMNLP

AMTA

FinNLP

MTSummit

SMM4H

LREC

NLP4TM

Co-Authors:-

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Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles FinNLP WS

IACS-LRILT: Machine Translation for Low-Resource Indic Languages WMT

Dhairya Suman | Atanu Mandal | Santanu Pal | Sudip Naskar |

A low resource framework for Multi-lingual ESG Impact Type Identification FinNLP WS

Harsha Vardhan | Sohom Ghosh | Ponnurangam Kumaraguru | Sudip Naskar |

LIPI at FinCausal 2022: Mining Causes and Effects from Financial Texts FNP LREC

Sohom Ghosh | Sudip Naskar |

FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability FNP LREC

Sohom Ghosh | Shovon Sengupta | Sudip Naskar | Sunny Kumar Singh |

JUNLP@DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Langauges DravidianLangTech EACL

Avishek Garain | Atanu Mandal | Sudip Kumar Naskar |

Fine-tuning BERT to classify COVID19 tweets containing symptoms NAACL SMM4H

Rajarshi Roychoudhury | Sudip Naskar |

The Transference Architecture for Automatic Post-Editing COLING

Spyder: Aggression Detection on Multilingual Tweets LREC TRAC WS

Anisha Datta | Shukrity Si | Urbi Chakraborty | Sudip Kumar Naskar |

JU_ETCE_17_21 at SemEval-2019 Task 6: Efficient Machine Learning and Neural Network Approaches for Identifying and Categorizing Offensive Language in Tweets *SEMEVAL

Preeti Mukherjee | Mainak Pal | Somnath Banerjee | Sudip Kumar Naskar |

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

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

ITER: Improving Translation Edit Rate through Optimizable Edit Costs EMNLP WMT WS

Joybrata Panja | Sudip Kumar Naskar |

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

Prasenjit Basu | Santanu Pal | Sudip Kumar Naskar |

Neural Automatic Post-Editing Using Prior Alignment and Reranking EACL

Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems WS

Sourav Mandal | Sudip Kumar Naskar |

Unsupervised Morpheme Segmentation Through Numerical Weighting and Thresholding WS

Joy Mahapatra | Sudip Kumar Naskar |

Normalization of Social Media Text using Deep Neural Networks WS

Ajay Shankar Tiwari | Sudip Kumar Naskar |

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

Santanu Pal | Sudip Kumar Naskar | Josef van Genabith |

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

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

A Neural Network based Approach to Automatic Post-Editing ACL

Santanu Pal | Sudip Kumar Naskar | Mihaela Vela | Josef van Genabith |

JU-USAAR: A Domain Adaptive MT System WMT WS

Biomolecular Event Extraction using a Stacked Generalization based Classifier ICON WS

Amit Majumder | Asif Ekbal | Sudip Kumar Naskar |

Statistical Natural Language Generation from Tabular Non-textual Data INLG WS

Joy Mahapatra | Sudip Kumar Naskar | Sivaji Bandyopadhyay |

UdS-Sant: English–German Hybrid Machine Translation System WMT WS

Santanu Pal | Sudip Naskar | Josef van Genabith |

USAAR-SAPE: An English–Spanish Statistical Automatic Post-Editing System WMT WS

Santanu Pal | Mihaela Vela | Sudip Kumar Naskar | Josef van Genabith |

CATaLog: New Approaches to TM and Post Editing Interfaces NLP4TM WS

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

Santanu Pal | Sudip Kumar Naskar | Sivaji Bandyopadhyay |

Automatic Building and Using Parallel Resources for SMT from Comparable Corpora HyTra WS

Santanu Pal | Partha Pakray | Sudip Kumar Naskar |

How Sentiment Analysis Can Help Machine Translation ICON WS

Perception vs. reality: measuring machine translation post-editing productivity AMTA

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

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

Santanu Pal | Sudip Naskar | Sivaji Bandyopadhyay |

MWE Alignment in Phrase Based Statistical Machine Translation MTSummit

Santanu Pal | Sudip Kumar Naskar | Sivaji Bandyopadhyay |

Meta-Evaluation of a Diagnostic Quality Metric for Machine Translation MTSummit

Sudip Kumar Naskar | Antonio Toral | Federico Gaspari | Declan Groves |

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

A Diagnostic Evaluation Approach Targeting MT Systems for Indian Languages WS

Renu Balyan | Sudip Kumar Naskar | Antonio Toral | Niladri Chatterjee |

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