Nadir Durrani

According to our database1, Nadir Durrani authored at least 81 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
What do end-to-end speech models learn about speaker, language and channel information? A layer-wise and neuron-level analysis.
Comput. Speech Lang., January, 2024

2023
On the effect of dropping layers of pre-trained transformer models.
Comput. Speech Lang., 2023

Scaled-up Discovery of Latent Concepts in Deep NLP Models.
CoRR, 2023

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking.
CoRR, 2023

Benchmarking Arabic AI with Large Language Models.
CoRR, 2023

Evaluating Neuron Interpretation Methods of NLP Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LLMs Facilitate Interpretation of Pre-trained Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NxPlain: A Web-based Tool for Discovery of Latent Concepts.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

NeuroX Library for Neuron Analysis of Deep NLP Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

ConceptX: A Framework for Latent Concept Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neuron-level Interpretation of Deep NLP Models: A Survey.
Trans. Assoc. Comput. Linguistics, 2022

Linguistic Correlation Analysis: Discovering Salient Neurons in deepNLP models.
CoRR, 2022

NatiQ: An End-to-end Text-to-Speech System for Arabic.
Proceedings of the The Seventh Arabic Natural Language Processing Workshop, 2022

Analyzing Encoded Concepts in Transformer Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Discovering Latent Concepts Learned in BERT.
Proceedings of the Tenth International Conference on Learning Representations, 2022

On the Transformation of Latent Space in Fine-Tuned NLP Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Effect of Post-processing on Contextualized Word Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Post-hoc analysis of Arabic transformer models.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models.
CoRR, 2021

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How transfer learning impacts linguistic knowledge in deep NLP models?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society.
CoRR, 2020

Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning.
CoRR, 2020

Poor Man's BERT: Smaller and Faster Transformer Models.
CoRR, 2020

On the Linguistic Representational Power of Neural Machine Translation Models.
Comput. Linguistics, 2020

Findings of the WMT 2020 Shared Task on Machine Translation Robustness.
Proceedings of the Fifth Conference on Machine Translation, 2020


Analyzing Individual Neurons in Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Analyzing Redundancy in Pretrained Transformer Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AraBench: Benchmarking Dialectal Arabic-English Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Similarity Analysis of Contextual Word Representation Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Findings of the First Shared Task on Machine Translation Robustness.
Proceedings of the Fourth Conference on Machine Translation, 2019

One Size Does Not Fit All: Comparing NMT Representations of Different Granularities.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Identifying and Controlling Important Neurons in Neural Machine Translation.
Proceedings of the 7th International Conference on Learning Representations, 2019

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Domain adaptation using neural network joint model.
Comput. Speech Lang., 2017

Machine Translation Approaches and Survey for Indian Languages.
CoRR, 2017

QCRI Machine Translation Systems for IWSLT 16.
CoRR, 2017

Neural Machine Translation Training in a Multi-Domain Scenario.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Continuous Space Reordering Models for Phrase-based MT.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017


QCRI Live Speech Translation System.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

What do Neural Machine Translation Models Learn about Morphology?
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015.
CoRR, 2016

Eyes Don't Lie: Predicting Machine Translation Quality Using Eye Movement.
Proceedings of the NAACL HLT 2016, 2016

iAppraise: A Manual Machine Translation Evaluation Environment Supporting Eye-tracking.
Proceedings of the Demonstrations Session, 2016

Farasa: A Fast and Furious Segmenter for Arabic.
Proceedings of the Demonstrations Session, 2016

QCRI's Machine Translation Systems for IWSLT'16.
Proceedings of the 13th International Conference on Spoken Language Translation, 2016

A Deep Fusion Model for Domain Adaptation in Phrase-based MT.
Proceedings of the COLING 2016, 2016

Enabling Medical Translation for Low-Resource Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2016

2015
The Operation Sequence Model - Combining N-Gram-Based and Phrase-Based Statistical Machine Translation.
Comput. Linguistics, 2015

QCMUQ$@$QALB-2015 Shared Task: Combining Character level MT and Error-tolerant Finite-State Recognition for Arabic Spelling Correction.
Proceedings of the Second Workshop on Arabic Natural Language Processing, 2015

Using joint models or domain adaptation in statistical machine translation.
Proceedings of Machine Translation Summit XV: Papers, 2015

How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
EU-BRIDGE MT: Combined Machine Translation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Edinburgh's Phrase-based Machine Translation Systems for WMT-14.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Combined spoken language translation.
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2014, 2014

Edinburgh SLT and MT system description for the IWSLT 2014 evaluation.
Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2014, 2014

Improving machine translation via triangulation and transliteration.
Proceedings of the 17th Annual conference of the European Association for Machine Translation, 2014

Integrating an Unsupervised Transliteration Model into Statistical Machine Translation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Investigating the Usefulness of Generalized Word Representations in SMT.
Proceedings of the COLING 2014, 2014

Improving Egyptian-to-English SMT by Mapping Egyptian into MSA.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

2013
Munich-Edinburgh-Stuttgart Submissions at WMT13: Morphological and Syntactic Processing for SMT.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

QCRI-MES Submission at WMT13: Using Transliteration Mining to Improve Statistical Machine Translation.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Edinburgh's Machine Translation Systems for European Language Pairs.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Munich-Edinburgh-Stuttgart Submissions of OSM Systems at WMT13.
Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Model With Minimal Translation Units, But Decode With Phrases.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

EU-BRIDGE MT: text translation of talks in the EU-BRIDGE project.
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

English SLT and MT system description for the IWSLT 2013 evaluation.
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT?
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
A joint translation model with integrated reordering.
PhD thesis, 2012

2011
Comparing Two Techniques for Learning Transliteration Models Using a Parallel Corpus.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

A Joint Sequence Translation Model with Integrated Reordering.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Urdu Word Segmentation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Hindi-to-Urdu Machine Translation through Transliteration.
Proceedings of the ACL 2010, 2010


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