| 2026 | LREC | Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan. | Chihiro Taguchi, Yukinori Takubo, David Chiang |
| 2025 | EMNLP | Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark. | Chihiro Taguchi, Seng Mai, Keita Kurabe, Yusuke Sakai, Georgina Agyei, Soudabeh Eslami, David Chiang |
| 2024 | ACL | DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. | Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos |
| 2024 | ACL | Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't. | Chihiro Taguchi, David Chiang |
| 2024 | AMTA | Improving Rare Word Translation With Dictionaries and Attention Masking. | Kenneth J. Sible, David Chiang |
| 2024 | COLING | PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. | Stephen Bothwell, Brian DuSell, David Chiang, Brian Krostenko |
| 2024 | COLING | Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information. | Chihiro Taguchi, Jefferson Saransig, Dayana Velsquez, David Chiang |
| 2024 | ICLR | Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. | Brian DuSell, David Chiang |
| 2023 | ACL | Convergence and Diversity in the Control Hierarchy. | Alexandra Butoi, Ryan Cotterell, David Chiang |
| 2023 | EMNLP | Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines. | Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Mller, David Chiang |
| 2023 | EMNLP | Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. | Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang |
| 2023 | EMNLP | BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text. | Aarohi Srivastava, David Chiang |
| 2023 | ICLR | The Surprising Computational Power of Nondeterministic Stack RNNs. | Brian DuSell, David Chiang |
| 2023 | ICML | Tighter Bounds on the Expressivity of Transformer Encoders. | David Chiang, Peter Cholak, Anand Pillay |
| 2023 | Interspeech | Universal Automatic Phonetic Transcription into the International Phonetic Alphabet. | Chihiro Taguchi, Yusuke Sakai, Parisa Haghani, David Chiang |
| 2022 | ACL | Overcoming a Theoretical Limitation of Self-Attention. | David Chiang, Peter Cholak |
| 2022 | EMNLP | Algorithms for Weighted Pushdown Automata. | Alexandra Butoi, Brian DuSell, Tim Vieira, Ryan Cotterell, David Chiang |
| 2022 | ICLR | Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. | Brian DuSell, David Chiang |
| 2021 | NAACL | Syntax-Based Attention Masking for Neural Machine Translation. | Colin McDonald, David Chiang |
| 2020 | CoNLL | Learning Context-free Languages with Nondeterministic Stack RNNs. | Brian DuSell, David Chiang |
| 2020 | ICML | Representing Unordered Data Using Complex-Weighted Multiset Automata. | Justin DeBenedetto, David Chiang |
| 2019 | ACL | Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units. | Arturo Argueta, David Chiang |
| 2019 | EMNLP | Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. | Kenton Murray, Brian DuSell, David Chiang |
| 2019 | EMNLP | Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation. | Kenton Murray, Jeffery Kinnison, Toan Q. Nguyen, Walter J. Scheirer, David Chiang |
| 2019 | NAACL | Neural Machine Translation of Text from Non-Native Speakers. | Antonios Anastasopoulos, Alison Lui, Toan Q. Nguyen, David Chiang |
| 2018 | ACL | Composing Finite State Transducers on GPUs. | Arturo Argueta, David Chiang |
| 2018 | COLING | Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource. | Antonios Anastasopoulos, Marika Lekakou, Josep Quer, Eleni Zimianiti, Justin DeBenedetto, David Chiang |
| 2018 | Interspeech | Leveraging Translations for Speech Transcription in Low-resource Settings. | Antonios Anastasopoulos, David Chiang |
| 2018 | NAACL | Tied Multitask Learning for Neural Speech Translation. | Antonios Anastasopoulos, David Chiang |
| 2018 | NAACL | Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention. | Huadong Chen, Shujian Huang, David Chiang, Xinyu Dai, Jiajun Chen |
| 2018 | NAACL | Improving Lexical Choice in Neural Machine Translation. | Toan Q. Nguyen, David Chiang |
| 2017 | ACL | Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. | Huadong Chen, Shujian Huang, David Chiang, Jiajun Chen |
| 2017 | CoNLL | Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation. | Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai, Jiajun Chen |
| 2017 | EACL | Decoding with Finite-State Transducers on GPUs. | Arturo Argueta, David Chiang |
| 2017 | EMNLP | Spoken Term Discovery for Language Documentation using Translations. | Antonios Anastasopoulos, Sameer Bansal, David Chiang, Sharon Goldwater, Adam Lopez |
| 2017 | IJCNLP | Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation. | Toan Q. Nguyen, David Chiang |
| 2016 | CIKM | Growing Graphs from Hyperedge Replacement Graph Grammars. | Salvador Aguiaga, Rodrigo Palcios, David Chiang, Tim Weninger |
| 2016 | EMNLP | An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages. | Antonios Anastasopoulos, David Chiang, Long Duong |
| 2016 | NAACL | An Attentional Model for Speech Translation Without Transcription. | Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, Trevor Cohn |
| 2015 | EMNLP | Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages. | Tomer Levinboim, David Chiang |
| 2015 | EMNLP | Auto-Sizing Neural Networks: With Applications to n-gram Language Models. | Kenton Murray, David Chiang |
| 2015 | NAACL | Multi-Task Word Alignment Triangulation for Low-Resource Languages. | Tomer Levinboim, David Chiang |
| 2015 | NAACL | Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. | Tomer Levinboim, Ashish Vaswani, David Chiang |
| 2014 | ACL | Kneser-Ney Smoothing on Expected Counts. | Hui Zhang, David Chiang |
| 2014 | EMNLP | Improving Word Alignment using Word Similarity. | Theerawat Songyot, David Chiang |
| 2013 | ACL | Parsing Graphs with Hyperedge Replacement Grammars. | David Chiang, Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Bevan K. Jones, Kevin Knight |
| 2013 | EMNLP | Decoding with Large-Scale Neural Language Models Improves Translation. | Ashish Vaswani, Yinggong Zhao, Victoria Fossum, David Chiang |
| 2012 | ACL | Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm. | Ashish Vaswani, Liang Huang, David Chiang |
| 2012 | ACL | An Exploration of Forest-to-String Translation: Does Translation Help or Hurt Parsing? | Hui Zhang, David Chiang |
| 2012 | COLING | Machine Translation for Language Preservation. | Steven Bird, David Chiang |
| 2011 | ACL | Language-Independent Parsing with Empty Elements. | Shu Cai, David Chiang, Yoav Goldberg |
| 2011 | ACL | Two Easy Improvements to Lexical Weighting. | David Chiang, Steve DeNeefe, Michael Pust |
| 2011 | ACL | Models and Training for Unsupervised Preposition Sense Disambiguation. | Dirk Hovy, Ashish Vaswani, Stephen Tratz, David Chiang, Eduard H. Hovy |
| 2011 | ACL | Rule Markov Models for Fast Tree-to-String Translation. | Ashish Vaswani, Haitao Mi, Liang Huang, David Chiang |
| 2010 | ACL | Learning to Translate with Source and Target Syntax. | David Chiang |
| 2010 | ACL | Efficient Optimization of an MDL-Inspired Objective Function for Unsupervised Part-Of-Speech Tagging. | Ashish Vaswani, Adam Pauls, David Chiang |
| 2010 | COLING | Fast, Greedy Model Minimization for Unsupervised Tagging. | Sujith Ravi, Ashish Vaswani, Kevin Knight, David Chiang |
| 2010 | NAACL | Bayesian Inference for Finite-State Transducers. | David Chiang, Jonathan Graehl, Kevin Knight, Adam Pauls, Sujith Ravi |
| 2010 | NAACL | Unsupervised Syntactic Alignment with Inversion Transduction Grammars. | Adam Pauls, Dan Klein, David Chiang, Kevin Knight |
| 2009 | ACL | Fast Consensus Decoding over Translation Forests. | John DeNero, David Chiang, Kevin Knight |
| 2009 | NAACL | 11,001 New Features for Statistical Machine Translation. | David Chiang, Kevin Knight, Wei Wang |
| 2008 | COLING | Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time. | Hao Zhang, Daniel Gildea, David Chiang |
| 2008 | EMNLP | Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms. | David Chiang, Steve DeNeefe, Yee Seng Chan, Hwee Tou Ng |
| 2008 | EMNLP | Online Large-Margin Training of Syntactic and Structural Translation Features. | David Chiang, Yuval Marton, Philip Resnik |
| 2007 | ACL | Word Sense Disambiguation Improves Statistical Machine Translation. | Yee Seng Chan, Hwee Tou Ng, David Chiang |
| 2007 | ACL | Forest Rescoring: Faster Decoding with Integrated Language Models. | Liang Huang, David Chiang |
| 2006 | EACL | Parsing Arabic Dialects. | David Chiang, Mona T. Diab, Nizar Habash, Owen Rambow, Safiullah Shareef |
| 2005 | ACL | A Hierarchical Phrase-Based Model for Statistical Machine Translation. | David Chiang |
| 2005 | NAACL | The Hiero Machine Translation System: Extensions, Evaluation, and Analysis. | David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, Michael Subotin |
| 2002 | COLING | Recovering Latent Information in Treebanks. | David Chiang, Daniel M. Bikel |
| 2001 | ACL | Constraints on Strong Generative Power. | David Chiang |
| 2001 | NAACL | Facilitating Treebank Annotation Using a Statistical Parser. | Fu-Dong Chiou, David Chiang, Martha Palmer |
| 2000 | ACL | Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar. | David Chiang |
| 2000 | ACL | Multi-Component TAG and Notions of Formal Power. | William Schuler, David Chiang, Mark Dras |