Nadir Durrani
Nadir Durrani
Senior Scientist, QCRI, HBKU
Verified email at - Homepage
Cited by
Cited by
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
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
Identifying and controlling important neurons in neural machine translation
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
arXiv preprint arXiv:1811.01157, 2018
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
Machine translation approaches and survey for Indian languages
NJ Khan, W Anwar, N Durrani
arXiv preprint arXiv:1701.04290, 2013
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
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, ...
arXiv preprint arXiv:2005.00033, 2020
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
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
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
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
Poor man’s bert: Smaller and faster transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
arXiv preprint arXiv:2004.03844, 2020
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
Urdu word segmentation
N Durrani, S Hussain
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
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
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
Analyzing individual neurons in pre-trained language models
N Durrani, H Sajjad, F Dalvi, Y Belinkov
arXiv preprint arXiv:2010.02695, 2020
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
Analyzing redundancy in pretrained transformer models
F Dalvi, H Sajjad, N Durrani, Y Belinkov
arXiv preprint arXiv:2004.04010, 2020
On the linguistic representational power of neural machine translation models
Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass
Computational Linguistics 46 (1), 1-52, 2020
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