Huda Khayrallah

According to our database, Huda Khayrallah authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?

HyoJung Han, Akiko Eriguchi, Haoran Xu, Hieu Hoang, Marine Carpuat, Huda Khayrallah

CoRR, 2024

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale.

Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah

CoRR, 2024

Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy.

Brian Thompson, Nitika Mathur, Daniel Deutsch, Huda Khayrallah

Proceedings of the Ninth Conference on Machine Translation, 2024

On-the-Fly Fusion of Large Language Models and Machine Translation.

Hieu Hoang, Huda Khayrallah, Marcin Junczys-Dowmunt

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

SOTASTREAM: A Streaming Approach to Machine Translation Training.

Matt Post, Thamme Gowda, Roman Grundkiewicz, Huda Khayrallah, Rohit Jain, Marcin Junczys-Dowmunt

CoRR, 2023

How to Choose How to Choose Your Chatbot: A Massively Multi-System MultiReference Data Set for Dialog Metric Evaluation.

Huda Khayrallah, Zuhaib Akhtar, Edward Cohen, João Sedoc

CoRR, 2023

Findings of the WMT 2023 Shared Task on Parallel Data Curation.

Steve Sloto, Brian Thompson, Huda Khayrallah, Tobias Domhan, Thamme Gowda, Philipp Koehn

Proceedings of the Eighth Conference on Machine Translation, 2023

Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness.

Rohit Jain, Huda Khayrallah, Roman Grundkiewicz, Marcin Junczys-Dowmunt

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

2022

Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation.

Hieu Hoang, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Huda Khayrallah

Proceedings of the Seventh Conference on Machine Translation, 2022

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation.

Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn

Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track), 2022

2021

Measuring the 'I don't know' Problem through the Lens of Gricean Quantity.

Huda Khayrallah, João Sedoc

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training.

Huda Khayrallah, João Sedoc

CoRR, 2020

On the Evaluation of Machine Translation n-best Lists.

Jacob Bremerman, Huda Khayrallah, Douglas W. Oard, Matt Post

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Simulated multiple reference training improves low-resource machine translation.

Huda Khayrallah, Brian Thompson, Matt Post, Philipp Koehn

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

SMRTer Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multi-Reference Training.

Huda Khayrallah, João Sedoc

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education.

Huda Khayrallah, Jacob Bremerman, Arya D. McCarthy, Kenton Murray, Winston Wu, Matt Post

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

An Interactive Teaching Tool for Introducing Novices to Machine Translation.

Huda Khayrallah, Rebecca Knowles, Kevin Duh, Matt Post

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Deep Generalized Canonical Correlation Analysis.

Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation.

Brian Thompson, Jeremy Gwinnup, Huda Khayrallah, Kevin Duh, Philipp Koehn

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting.

J. Edward Hu, Huda Khayrallah, Ryan Culkin, Patrick Xia, Tongfei Chen, Matt Post, Benjamin Van Durme

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation.

Brian Thompson, Rebecca Knowles, Xuan Zhang, Huda Khayrallah, Kevin Duh, Philipp Koehn

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

An Empirical Exploration of Curriculum Learning for Neural Machine Translation.

Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J. Martindale, Paul McNamee, Kevin Duh, Marine Carpuat

CoRR, 2018

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation.

Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, Philipp Koehn

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering.

Philipp Koehn, Huda Khayrallah, Kenneth Heafield, Mikel L. Forcada

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

The JHU Parallel Corpus Filtering Systems for WMT 2018.

Huda Khayrallah, Hainan Xu, Philipp Koehn

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract).

Steven Shearing, Christo Kirov, Huda Khayrallah, David Yarowsky

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation.

Huda Khayrallah, Brian Thompson, Kevin Duh, Philipp Koehn

Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

On the Impact of Various Types of Noise on Neural Machine Translation.

Huda Khayrallah, Philipp Koehn

Proceedings of the 2nd Workshop on Neural Machine Translation and Generation, 2018

2017

The JHU Machine Translation Systems for WMT 2017.

Shuoyang Ding, Huda Khayrallah, Philipp Koehn, Matt Post, Gaurav Kumar, Kevin Duh

Proceedings of the Second Conference on Machine Translation, 2017

Neural Lattice Search for Domain Adaptation in Machine Translation.

Huda Khayrallah, Gaurav Kumar, Kevin Duh, Matt Post, Philipp Koehn

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Paradigm Completion for Derivational Morphology.

Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah, Christo Kirov, David Yarowsky

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

The JHU Machine Translation Systems for WMT 2016.

Shuoyang Ding, Kevin Duh, Huda Khayrallah, Philipp Koehn, Matt Post

Proceedings of the First Conference on Machine Translation, 2016

Translation of Unknown Words in Low Resource Languages.

Biman Gujral, Huda Khayrallah, Philipp Koehn

Proceedings of the 12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, 2016

2013

Mining data from the AP CS a exam: patterns, non-patterns, and replication failure.

Colleen M. Lewis, Huda Khayrallah, Amy Tsai

Proceedings of the International Computing Education Research Conference, 2013