Academic Identity
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Orcid Id 0000-0002-8413-2718 -
Scopus Id 57216695235 -
Researcher Id ADL-8883-2022 -
Google Scholar Id fbqD9i8AAAAJ
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Dr Sahinur Rahman Laskar
- Assistant Professor
- University of Petroleum and Energy Studies
Publications 2016 - 2024
Publications
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13
Journal Articles
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2
Book Chapter
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27
Conference
Proceedings -
3
Citations / H-Index
194
Citations
9
h-index
1
Citations
Google Scholar
Expertise
Computer Science Artificial Intelligence
A Computer Science and Engineering background person. Currently, working as an Assistant Professor in SoCS, UPES, Dehradun. Ph.D (CSE) from NIT Silchar. Research Interests in NLP, Machine Translation, Question and Answering, IR, Deep Learning and Machine Learning. Published several International Conferences, Workshops, Journals and Book Chapters. Preferably, looking for jobs in Academics and R&D.
Personal Information
Dr Sahinur Rahman Laskar
Male
House No: 241 Ward No:3 Ghaniwala Road Itkhola
Silchar, Assam, India - 788002
Experience
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Assistant Professor
Department of Data Science
University of Petroleum and Energy Studies
Honours and Awards
2023
Organizer of Shared Task: Low-Resource Indic Language Translation, EMNLP 2023 EIGHTH CONFERENCE ON MACHINE TRANSLATION (WMT23)
EMNLP 2023 EIGHTH CONFERENCE ON MACHINE TRANSLATION (WMT23)
2022
Participated in Shared Task: Propaganda Detection in Arabic at WANLP, EMNLP-2022, Our team name: CNLP-NITS-PP and achieved 3rd rank position in subtask-1
WANLP, EMNLP-2022
2022
Participated in Shared Task: WAT2022 The 9th Workshop on Asian Translation - “Multi-Modal Translation Task for English to Bengali”. Achieved best results. Our Team name: CNLP-NITS-PP
WAT2022
2023
Organizer of Shared Task: Low-Resource Indic Language Translation, EMNLP 2023 EIGHTH CONFERENCE ON MACHINE TRANSLATION (WMT23)
EMNLP 2023 EIGHTH CONFERENCE ON MACHINE TRANSLATION (WMT23)
2022
Participated in Shared Task: Propaganda Detection in Arabic at WANLP, EMNLP-2022, Our team name: CNLP-NITS-PP and achieved 3rd rank position in subtask-1
WANLP, EMNLP-2022
2022
Participated in Shared Task: WAT2022 The 9th Workshop on Asian Translation - “Multi-Modal Translation Task for English to Bengali”. Achieved best results. Our Team name: CNLP-NITS-PP
WAT2022
2022
Participated in Shared Task: WAT2022 The 9th Workshop on Asian Translation - “Multi-Modal Translation Task for English to Hindi”. Achieved Second best results. Our Team name: CNLP-NITS-PP
WAT2022
2022
Achieved best paper award presenter at 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) June 18-19, 2022. Paper Title: "Improving English-Assamese Neural Machine Translation using Transliteration-based Approach"
FICTA 2022
2021
Guest speaker for demonstration of Deep Learning for Machine Translation on 29/06/2021 at Faculty development Program on Deep Learning for Natural Language Processing (DL-NLP 2021)
Department of CSE and IT, Jaypee Institute of Information Technology, Noida, India
2021
Participated in Shared Task: Similar Language Translation, EMNLP 2021 Sixth Conference on Machine Translation (WMT21). Our Team: CNLP-NITS, achieved 4th rank for Tamil to Telugu and 6th rank for Telugu to Tamil.
WMT21
2020
Participated in Shared Task: Fake News Detection in the Urdu Language (UrduFake) – FIRE 2020. Our Team name: CNLP-NITS and achieved 2nd rank.
FIRE 2020
2020
Participated in Shared Task: Similar Language Translation, EMNLP 2020 Fifth Conference on Machine Translation (WMT2020). Our Team: NITS-CNLP, achieved 10th rank for Hindi to Marathi and 15th rank for Marathi to Hindi.
WMT2020
2019
Participated in Shared Task: Similar Language Translation, ACL 2019: Fourth Conference On Machine Translation (WMT2019), August 1-2, 2019 Florence, Italy – Our Team: NITS-CNLP, achieved the best result for Nepali-Hindi language pair, achieved first rank for both Hindi-to-Nepali and Nepali-to-Hindi translation.
WMT2019
2019
Participated in Shared Task: WAT2019 The 6th Workshop on Asian Translation – “Multi-Modal Translation Task”, Evaluation Week: Aug 03-10, 2019, and November 3-4, 2019: WAT2019 takes place. Our Team name: 683, achieved first rank.
WAT2019
