Hassan Sajjad
Hassan Sajjad
Qatar Computing Research Institute, HBKU
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα qf.org.qa - Αρχική σελίδα
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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
2242017
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation
N Durrani, H Sajjad, H Hoang, P Koehn
EACL 2014, 148, 2014
992014
Robust classification of crisis-related data on social networks using convolutional neural networks
D Nguyen, KA Al Mannai, S Joty, H Sajjad, M Imran, P Mitra
Proceedings of the International AAAI Conference on Web and Social Media 11 (1), 2017
822017
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain.
A Abdelali, F Guzman, H Sajjad, S Vogel
LREC 14, 1044-1054, 2014
632014
Identifying and Controlling Important Neurons in Neural Machine Translation
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
ICLR, 2019
622019
Applications of online deep learning for crisis response using social media information
DT Nguyen, S Joty, M Imran, H Sajjad, P Mitra
arXiv preprint arXiv:1610.01030, 2016
612016
Hindi-to-Urdu machine translation through transliteration
N Durrani, H Sajjad, A Fraser, H Schmid
Proceedings of the 48th Annual meeting of the Association for Computational …, 2010
612010
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
572018
Verifiably effective arabic dialect identification
K Darwish, H Sajjad, H Mubarak
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
562014
Translating dialectal arabic to english
H Sajjad, K Darwish, Y Belinkov
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
502013
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
472019
Understanding and improving morphological learning in the neural machine translation decoder
F Dalvi, N Durrani, H Sajjad, Y Belinkov, S Vogel
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
452017
A statistical model for unsupervised and semi-supervised transliteration mining
H Sajjad, A Fraser, H Schmid
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
452012
Rapid classification of crisis-related data on social networks using convolutional neural networks
DT Nguyen, KAA Mannai, S Joty, H Sajjad, M Imran, P Mitra
arXiv preprint arXiv:1608.03902, 2016
402016
Neural machine translation training in a multi-domain scenario
H Sajjad, N Durrani, F Dalvi, Y Belinkov, S Vogel
arXiv preprint arXiv:1708.08712, 2017
392017
Tagging Urdu text with parts of speech: A tagger comparison
H Sajjad, H Schmid
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009
372009
Incremental decoding and training methods for simultaneous translation in neural machine translation
F Dalvi, N Durrani, H Sajjad, S Vogel
arXiv preprint arXiv:1806.03661, 2018
352018
Findings of the first shared task on machine translation robustness
X Li, P Michel, A Anastasopoulos, Y Belinkov, N Durrani, O Firat, P Koehn, ...
arXiv preprint arXiv:1906.11943, 2019
332019
H2@ bucc18: Parallel sentence extraction from comparable corpora using multilingual sentence embeddings
H Bouamor, H Sajjad
Proc. Workshop on Building and Using Comparable Corpora, 2018
302018
Understanding types of users on Twitter
MM Uddin, M Imran, H Sajjad
arXiv preprint arXiv:1406.1335, 2014
292014
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