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Nadir Durrani
Nadir Durrani
Senior Scientist, QCRI, HBKU
Verified email at hbku.edu.qa - Homepage
Title
Cited by
Cited by
Year
Farasa: A Fast and Furious Segmenter for Arabic
A Abdelali, N Durrani, K Darwish, H Mubarak
Proceedings of the 2016 conference of the North American chapter of the …, 2016
4782016
What do Neural Machine Translation Models Learn about Morphology?
Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass
Proceedings of the 55th Annual meeting of the Association for Computational …, 2017
4642017
What is one grain of sand in the desert? analyzing individual neurons in deep nlp models
F Dalvi, N Durrani, H Sajjad, Y Belinkov, A Bau, J Glass
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6309-6317, 2019
2042019
Identifying and controlling important neurons in neural machine translation
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
ICLR 2019 · The Seventh International Conference on Learning Representations, 2019
2042019
Fighting the COVID-19 infodemic: modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society
F Alam, S Shaar, F Dalvi, H Sajjad, A Nikolov, H Mubarak, GDS Martino, ...
Findings of the Association for Computational Linguistics: EMNLP 2021, 2020
1822020
A joint sequence translation model with integrated reordering
N Durrani, H Schmid, A Fraser
Proceedings of the 49th annual meeting of the association for computational …, 2011
1552011
Machine translation approaches and survey for Indian languages
NJ Khan, W Anwar, N Durrani
arXiv preprint arXiv:1701.04290, 2013
1542013
Fighting the COVID-19 infodemic in social media: a holistic perspective and a call to arms
F Alam, F Dalvi, S Shaar, N Durrani, H Mubarak, A Nikolov, ...
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
1372021
Evaluating layers of representation in neural machine translation on part-of-speech and semantic tagging tasks
Y Belinkov, L Màrquez, H Sajjad, N Durrani, F Dalvi, J Glass
arXiv preprint arXiv:1801.07772, 2018
1332018
Findings of the IWSLT 2020 evaluation campaign
E Ansari, A Axelrod, N Bach, O Bojar, R Cattoni, F Dalvi, N Durrani, ...
Proceedings of the 17th International Conference on Spoken Language …, 2020
1322020
On the effect of dropping layers of pre-trained transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
Computer Speech & Language 77, 101429, 2023
1302023
Poor man’s bert: Smaller and faster transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
arXiv preprint arXiv:2004.03844, 2020
1132020
Integrating an unsupervised transliteration model into statistical machine translation
N Durrani, H Sajjad, H Hoang, P Koehn
Proceedings of the 14th Conference of the European Chapter of the …, 2014
1132014
Farasa: a new fast and accurate Arabic word segmenter
A Abdelali, K Darwish, N Durrani, H Mubarak
Conference of the North American Chapter of the Association for …, 2016
111*2016
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation
F Dalvi, N Durrani, H Sajjad, S Vogel
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
1072018
Urdu word segmentation
N Durrani, S Hussain
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
1052010
Analyzing individual neurons in pre-trained language models
N Durrani, H Sajjad, F Dalvi, Y Belinkov
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1022020
Analyzing redundancy in pretrained transformer models
F Dalvi, H Sajjad, N Durrani, Y Belinkov
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
992020
Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT?
N Durrani, A Fraser, H Schmid, H Hoang, P Koehn
The 51st Annual Meeting of the Association for Computational Linguistics …, 2013
882013
Similarity analysis of contextual word representation models
JM Wu, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
842020
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