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ORCIDHuda Khayrallah
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2020 – today
- 2024
[c27]Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt:
On-the-Fly Fusion of Large Language Models and Machine Translation. NAACL-HLT (Findings) 2024: 520-532- [i14]Brian Thompson, Nitika Mathur, Daniel Deutsch, Huda Khayrallah:
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy. CoRR abs/2409.09598 (2024) - [i13]Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah:
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale. CoRR abs/2410.03115 (2024) - 2023
- [c26]Rohit Jain, Huda Khayrallah, Roman Grundkiewicz, Marcin Junczys-Dowmunt:
Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness. IJCNLP (2) 2023: 146-156 - [c25]Steve Sloto, Brian Thompson, Huda Khayrallah, Tobias Domhan, Thamme Gowda, Philipp Koehn:
Findings of the WMT 2023 Shared Task on Parallel Data Curation. WMT 2023: 95-102 - [i12]Huda Khayrallah, Zuhaib Akhtar, Edward Cohen, João Sedoc:
How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation. CoRR abs/2305.14533 (2023) - [i11]Matt Post, Thamme Gowda, Roman Grundkiewicz, Huda Khayrallah, Rohit Jain, Marcin Junczys-Dowmunt:
SOTASTREAM: A Streaming Approach to Machine Translation Training. CoRR abs/2308.07489 (2023) - [i10]Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt:
On-the-Fly Fusion of Large Language Models and Machine Translation. CoRR abs/2311.08306 (2023) - 2022
- [c24]Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn:
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. AMTA 2022: 157-174 - [c23]Hieu Hoang, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Huda Khayrallah:
Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation. WMT 2022: 855-869 - 2021
- [c22]Huda Khayrallah, João Sedoc:
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. NAACL-HLT 2021: 5659-5670 - [i9]Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn:
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. CoRR abs/2110.05691 (2021) - 2020
- [c21]Huda Khayrallah, Jacob Bremerman
, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post:
The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education. NGT@ACL 2020: 188-197 - [c20]Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn:
Simulated multiple reference training improves low-resource machine translation. EMNLP (1) 2020: 82-89 - [c19]Huda Khayrallah, João Sedoc:
SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training. EMNLP (Findings) 2020: 4489-4505 - [c18]Jacob Bremerman, Huda Khayrallah, Douglas W. Oard, Matt Post:
On the Evaluation of Machine Translation n-best Lists. Eval4NLP 2020: 60-68 - [i8]Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn:
Simulated Multiple Reference Training Improves Low-Resource Machine Translation. CoRR abs/2004.14524 (2020) - [i7]Huda Khayrallah, João Sedoc:
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. CoRR abs/2010.12786 (2020) - [i6]Huda Khayrallah, João Sedoc:
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. CoRR abs/2011.00547 (2020)
2010 – 2019
- 2019
- [c17]Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn:
HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation. EMNLP/IJCNLP (1) 2019: 1382-1387 - [c16]J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme:
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting. NAACL-HLT (1) 2019: 839-850 - [c15]Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn:
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation. NAACL-HLT (1) 2019: 2062-2068 - [c14]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL 2019: 1-6 - [c13]Huda Khayrallah, Rebecca Knowles, Kevin Duh, Matt Post:
An Interactive Teaching Tool for Introducing Novices to Machine Translation. SIGCSE 2019: 1276 - 2018
- [c12]Huda Khayrallah, Brian Thompson, Kevin Duh, Philipp Koehn:
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation. NMT@ACL 2018: 36-44 - [c11]Huda Khayrallah, Philipp Koehn:
On the Impact of Various Types of Noise on Neural Machine Translation. NMT@ACL 2018: 74-83 - [c10]Steven Shearing, Christo Kirov, Huda Khayrallah, David Yarowsky:
Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract). AMTA (1) 2018: 132-139 - [c9]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. WMT 2018: 124-132 - [c8]Philipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada:
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering. WMT (shared task) 2018: 726-739 - [c7]Huda Khayrallah, Hainan Xu, Philipp Koehn:
The JHU Parallel Corpus Filtering Systems for WMT 2018. WMT (shared task) 2018: 896-899 - [i5]Huda Khayrallah, Philipp Koehn:
On the Impact of Various Types of Noise on Neural Machine Translation. CoRR abs/1805.12282 (2018) - [i4]Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn:
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. CoRR abs/1809.05218 (2018) - [i3]Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat:
An Empirical Exploration of Curriculum Learning for Neural Machine Translation. CoRR abs/1811.00739 (2018) - 2017
- [c6]Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. EMNLP 2017: 714-720 - [c5]Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn:
Neural Lattice Search for Domain Adaptation in Machine Translation. IJCNLP(2) 2017: 20-25 - [c4]Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh:
The JHU Machine Translation Systems for WMT 2017. WMT 2017: 276-282 - [i2]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. CoRR abs/1702.02519 (2017) - [i1]Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky:
Paradigm Completion for Derivational Morphology. CoRR abs/1708.09151 (2017) - 2016
- [c3]Biman Gujral, Huda Khayrallah, Philipp Koehn:
Translation of Unknown Words in Low Resource Languages. AMTA (1) 2016: 163-176 - [c2]Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post:
The JHU Machine Translation Systems for WMT 2016. WMT 2016: 272-280 - 2013
- [c1]Colleen M. Lewis, Huda Khayrallah, Amy Tsai:
Mining data from the AP CS a exam: patterns, non-patterns, and replication failure. ICER 2013: 115-122
Coauthor Index
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