Huda Khayrallah

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 37

Top Topics

Machine Translation

Canonical Correlation Analysis

Domain Adaptation

Top Venues

Publications

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)
Rohit Jain, Huda Khayrallah, Roman Grundkiewicz, Marcin Junczys-Dowmunt
Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness. IJCNLP (2) (2023)
Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt
On-the-Fly Fusion of Large Language Models and Machine Translation. CoRR (2023)
Matt Post, Thamme Gowda, Roman Grundkiewicz, Huda Khayrallah, Rohit Jain, Marcin Junczys-Dowmunt
SOTASTREAM: A Streaming Approach to Machine Translation Training. CoRR (2023)
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 (2023)
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. AMTA (2022)
Hieu Hoang, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Huda Khayrallah
Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation. WMT (2022)
Huda Khayrallah, João Sedoc
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. NAACL-HLT (2021)
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation. CoRR (2021)
Huda Khayrallah, João Sedoc
Measuring the 'I don't know' Problem through the Lens of Gricean Quantity. CoRR (2020)
Jacob Bremerman, Huda Khayrallah, Douglas W. Oard, Matt Post
On the Evaluation of Machine Translation n-best Lists. Eval4NLP (2020)
Huda Khayrallah, João Sedoc
SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training. EMNLP (Findings) (2020)
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)
Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn
Simulated multiple reference training improves low-resource machine translation. EMNLP (1) (2020)
Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn
Simulated Multiple Reference Training Improves Low-Resource Machine Translation. CoRR (2020)
Huda Khayrallah, João Sedoc
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training. CoRR (2020)
Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL (2019)
Huda Khayrallah, Rebecca Knowles, Kevin Duh, Matt Post
An Interactive Teaching Tool for Introducing Novices to Machine Translation. SIGCSE (2019)
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)
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)
Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation. NAACL-HLT (1) (2019)
Steven Shearing, Christo Kirov, Huda Khayrallah, David Yarowsky
Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract). AMTA (1) (2018)
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)
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 (2018)
Huda Khayrallah, Hainan Xu, Philipp Koehn
The JHU Parallel Corpus Filtering Systems for WMT 2018. WMT (shared task) (2018)
Huda Khayrallah, Brian Thompson, Kevin Duh, Philipp Koehn
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation. NMT@ACL (2018)
Huda Khayrallah, Philipp Koehn
On the Impact of Various Types of Noise on Neural Machine Translation. CoRR (2018)
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 (2018)
Huda Khayrallah, Philipp Koehn
On the Impact of Various Types of Noise on Neural Machine Translation. NMT@ACL (2018)
Philipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering. WMT (shared task) (2018)
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky
Paradigm Completion for Derivational Morphology. CoRR (2017)
Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh
The JHU Machine Translation Systems for WMT 2017. WMT (2017)
Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn
Neural Lattice Search for Domain Adaptation in Machine Translation. IJCNLP(2) (2017)
Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
Deep Generalized Canonical Correlation Analysis. CoRR (2017)
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky
Paradigm Completion for Derivational Morphology. EMNLP (2017)
Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post
The JHU Machine Translation Systems for WMT 2016. WMT (2016)
Biman Gujral, Huda Khayrallah, Philipp Koehn
Translation of Unknown Words in Low Resource Languages. AMTA (1) (2016)
Colleen M. Lewis, Huda Khayrallah, Amy Tsai
Mining data from the AP CS a exam: patterns, non-patterns, and replication failure. ICER (2013)