Statistical Parsing with an Automatically-Extracted Tree Adjoining Grammar. - David Chiang 001 (ACL, 2000)

Multi-Component TAG and Notions of Formal Power. - William Schuler; David Chiang 001; Mark Dras (ACL, 2000)

Some remarks on an extension of synchronous TAG. - David Chiang 001; William Schuler; Mark Dras (TAG+, 2000)

Constraints on Strong Generative Power. - David Chiang 001 (ACL, 2001)

Facilitating Treebank Annotation Using a Statistical Parser. - Fu-Dong Chiou; David Chiang 001; Martha Palmer (HLT, 2001)

Recovering Latent Information in Treebanks. - David Chiang 001; Daniel M. Bikel (COLING, 2002)

Putting Some Weakly Context-Free Formalisms in Order. - David Chiang 001 (TAG+, 2002)

Uses and abuses of intersected languages. - David Chiang 001 (TAG+, 2004)

A Hierarchical Phrase-Based Model for Statistical Machine Translation. - David Chiang 001 (ACL, 2005)

Better k-best Parsing. - Liang Huang 001; David Chiang 001 (IWPT, 2005)

The Hiero Machine Translation System: Extensions, Evaluation, and Analysis. - David Chiang 001; Adam Lopez; Nitin Madnani; Christof Monz; Philip Resnik; Michael Subotin (HLT/EMNLP, 2005)

Parsing Arabic Dialects. - David Chiang 001; Mona T. Diab; Nizar Habash; Owen Rambow; Safiullah Shareef (EACL, 2006)

The Weak Generative Capacity of Linear Tree-Adjoining Grammars. - David Chiang 001 (TAG, 2006)

The Hidden TAG Model: Synchronous Grammars for Parsing Resource-Poor Languages. - David Chiang 001; Owen Rambow (TAG, 2006)

A Grammatical Theory for the Conformational Changes of Simple Helix Bundles. - David Chiang 001; Aravind K. Joshi; Ken A. Dill (J. Comput. Biol., 2006)

Grammatical Representations of Macromolecular Structure. - David Chiang 001; Aravind K. Joshi; David B. Searls (J. Comput. Biol., 2006)

Word Sense Disambiguation Improves Statistical Machine Translation. - Yee Seng Chan; Hwee Tou Ng; David Chiang 001 (ACL, 2007)

Forest Rescoring: Faster Decoding with Integrated Language Models. - Liang Huang 001; David Chiang 001 (ACL, 2007)

Hierarchical Phrase-Based Translation. - David Chiang 001 (Comput. Linguistics, 2007)

Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time. - Hao Zhang 010; Daniel Gildea; David Chiang 001 (COLING, 2008)

Decomposability of Translation Metrics for Improved Evaluation and Efficient Algorithms. - David Chiang 001; Steve DeNeefe; Yee Seng Chan; Hwee Tou Ng (EMNLP, 2008)

Online Large-Margin Training of Syntactic and Structural Translation Features. - David Chiang 001; Yuval Marton; Philip Resnik (EMNLP, 2008)

Flexible Composition and Delayed Tree-Locality. - David Chiang 001; Tatjana Scheffler (TAG, 2008)

Fast Consensus Decoding over Translation Forests. - John DeNero; David Chiang 001; Kevin Knight (ACL/IJCNLP, 2009)

11,001 New Features for Statistical Machine Translation. - David Chiang 001; Kevin Knight; Wei Wang 006 (HLT-NAACL, 2009)

Introduction to the Special Issue on Machine Translation of Asian Languages. - David Chiang 001; Philipp Koehn (ACM Trans. Asian Lang. Inf. Process., 2009)

Learning to Translate with Source and Target Syntax. - David Chiang 001 (ACL, 2010)

Efficient Optimization of an MDL-Inspired Objective Function for Unsupervised Part-Of-Speech Tagging. - Ashish Vaswani; Adam Pauls; David Chiang 001 (ACL (2), 2010)

Fast, Greedy Model Minimization for Unsupervised Tagging. - Sujith Ravi; Ashish Vaswani; Kevin Knight; David Chiang 001 (COLING, 2010)

Bayesian Inference for Finite-State Transducers. - David Chiang 001; Jonathan Graehl; Kevin Knight; Adam Pauls; Sujith Ravi (HLT-NAACL, 2010)

Unsupervised Syntactic Alignment with Inversion Transduction Grammars. - Adam Pauls; Dan Klein 001; David Chiang 001; Kevin Knight (HLT-NAACL, 2010)

Language-Independent Parsing with Empty Elements. - Shu Cai; David Chiang 001; Yoav Goldberg (ACL (2), 2011)

Two Easy Improvements to Lexical Weighting. - David Chiang 001; Steve DeNeefe; Michael Pust (ACL (2), 2011)

Models and Training for Unsupervised Preposition Sense Disambiguation. - Dirk Hovy; Ashish Vaswani; Stephen Tratz; David Chiang 001; Eduard H. Hovy (ACL (2), 2011)

Rule Markov Models for Fast Tree-to-String Translation. - Ashish Vaswani; Haitao Mi; Liang Huang 001; David Chiang 001 (ACL, 2011)

Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm. - Ashish Vaswani; Liang Huang 001; David Chiang 001 (ACL (1), 2012)

An Exploration of Forest-to-String Translation: Does Translation Help or Hurt Parsing? - Hui Zhang; David Chiang 001 (ACL (2), 2012)

Machine Translation for Language Preservation. - Steven Bird; David Chiang 001 (COLING (Posters), 2012)

Hope and Fear for Discriminative Training of Statistical Translation Models. - David Chiang 001 (J. Mach. Learn. Res., 2012)

Soft syntactic constraints for Arabic-English hierarchical phrase-based translation. - Yuval Marton; David Chiang 001; Philip Resnik (Mach. Transl., 2012)

Grammars for Language and Genes - Theoretical and Empirical Investigations - David Chiang 001 (Springer, 2012)

Parsing Graphs with Hyperedge Replacement Grammars. - David Chiang 001; Jacob Andreas; Daniel Bauer 002; Karl Moritz Hermann; Bevan K. Jones; Kevin Knight (ACL (1), 2013)

Decoding with Large-Scale Neural Language Models Improves Translation. - Ashish Vaswani; Yinggong Zhao; Victoria Fossum; David Chiang 001 (EMNLP, 2013)

Kneser-Ney Smoothing on Expected Counts. - Hui Zhang; David Chiang 001 (ACL (1), 2014)

Improving Word Alignment using Word Similarity. - Theerawat Songyot; David Chiang 001 (EMNLP, 2014)

Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages. - Tomer Levinboim; David Chiang 001 (EMNLP, 2015)

Auto-Sizing Neural Networks: With Applications to n-gram Language Models. - Kenton Murray; David Chiang 001 (EMNLP, 2015)

Multi-Task Word Alignment Triangulation for Low-Resource Languages. - Tomer Levinboim; David Chiang 001 (HLT-NAACL, 2015)

Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. - Tomer Levinboim; Ashish Vaswani; David Chiang 001 (HLT-NAACL, 2015)

Growing Graphs from Hyperedge Replacement Graph Grammars. - Salvador Aguiñaga; Rodrigo Palácios; David Chiang 001; Tim Weninger (CIKM, 2016)

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages. - Antonios Anastasopoulos; David Chiang 001; Long Duong (EMNLP, 2016)

An Attentional Model for Speech Translation Without Transcription. - Long Duong; Antonios Anastasopoulos; David Chiang 001; Steven Bird; Trevor Cohn (HLT-NAACL, 2016)

Growing Graphs with Hyperedge Replacement Graph Grammars. - Salvador Aguiñaga; Rodrigo Palácios; David Chiang 001; Tim Weninger (CoRR, 2016)

Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. - Huadong Chen; Shujian Huang; David Chiang 001; Jiajun Chen 001 (ACL (1), 2017)

Top-Rank Enhanced Listwise Optimization for Statistical Machine Translation. - Huadong Chen; Shujian Huang; David Chiang 001; Xin-Yu Dai; Jiajun Chen 001 (CoNLL, 2017)

Decoding with Finite-State Transducers on GPUs. - Arturo Argueta; David Chiang 001 (EACL (1), 2017)

Spoken Term Discovery for Language Documentation using Translations. - Antonios Anastasopoulos; Sameer Bansal; David Chiang 001; Sharon Goldwater; Adam Lopez (SCNLP@EMNLP 2017, 2017)

Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation. - Toan Q. Nguyen; David Chiang 001 (IJCNLP(2), 2017)

A case study on using speech-to-translation alignments for language documentation. - Antonios Anastasopoulos; David Chiang 001 (CoRR, 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

Composing Finite State Transducers on GPUs. - Arturo Argueta; David Chiang 001 (ACL (1), 2018)

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 001 (COLING, 2018)

Synchronous Hyperedge Replacement Graph Grammars. - Corey Pennycuff; Satyaki Sikdar; Catalina Vajiac; David Chiang 001; Tim Weninger (ICGT, 2018)

Leveraging Translations for Speech Transcription in Low-resource Settings. - Antonios Anastasopoulos; David Chiang 001 (INTERSPEECH, 2018)

Tied Multitask Learning for Neural Speech Translation. - Antonios Anastasopoulos; David Chiang 001 (NAACL-HLT, 2018)

Combining Character and Word Information in Neural Machine Translation Using a Multi-Level Attention. - Huadong Chen; Shujian Huang; David Chiang 001; Xinyu Dai; Jiajun Chen 001 (NAACL-HLT, 2018)

Improving Lexical Choice in Neural Machine Translation. - Toan Q. Nguyen; David Chiang 001 (NAACL-HLT, 2018)

Algorithms and Training for Weighted Multiset Automata and Regular Expressions. - Justin DeBenedetto; David Chiang 001 (CIAA, 2018)

Correcting Length Bias in Neural Machine Translation. - Kenton Murray; David Chiang 001 (WMT, 2018)

Weighted DAG Automata for Semantic Graphs. - David Chiang 001; Frank Drewes; Daniel Gildea; Adam Lopez; Giorgio Satta (Comput. Linguistics, 2018)

Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars. - Xinyi Wang 001; Salvador Aguiñaga; Tim Weninger; David Chiang 001 (CoRR, 2018)

Neural Machine Translation of Text from Non-Native Speakers. - Alison Lui; Antonios Anastasopoulos; David Chiang 001 (CoRR, 2018)

Incident-Driven Machine Translation and Name Tagging for Low-resource Languages. - Ulf Hermjakob; Qiang Li; Daniel Marcu; Jonathan May; S. J. Mielke; Nima Pourdamghani; Michael Pust; Xing Shi; Kevin Knight; Tomer Levinboim; Kenton Murray; David Chiang 001; et al. (Mach. Transl., 2018)

Accelerating Sparse Matrix Operations in Neural Networks on Graphics Processing Units. - Arturo Argueta; David Chiang 001 (ACL (1), 2019)

Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task. - Kenton Murray; Brian DuSell; David Chiang 001 (NGT@EMNLP-IJCNLP, 2019)

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 001 (NGT@EMNLP-IJCNLP, 2019)

Neural Machine Translation of Text from Non-Native Speakers. - Antonios Anastasopoulos; Alison Lui; Toan Q. Nguyen; David Chiang 001 (NAACL-HLT (1), 2019)

Learning Hyperedge Replacement Grammars for Graph Generation. - Salvador Aguiñaga; David Chiang 001; Tim Weninger (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning Context-free Languages with Nondeterministic Stack RNNs. - Brian DuSell; David Chiang 001 (CoNLL, 2020)

Representing Unordered Data Using Complex-Weighted Multiset Automata. - Justin DeBenedetto; David Chiang 001 (ICML, 2020)

Factor Graph Grammars. - David Chiang 001; Darcey Riley (NeurIPS, 2020)

Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation. - Xing Jie Zhong; David Chiang 001 (WMT@EMNLP, 2020)

Representing Unordered Data Using Multiset Automata and Complex Numbers. - Justin DeBenedetto; David Chiang 001 (CoRR, 2020)

Translating Recursive Probabilistic Programs to Factor Graph Grammars. - David Chiang 001; Chung-chieh Shan (CoRR, 2020)

Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution. - Toan Q. Nguyen; Kenton Murray; David Chiang 001 (IWSLT, 2021)

Syntax-Based Attention Masking for Neural Machine Translation. - Colin McDonald; David Chiang 001 (NAACL-HLT (Student Research Workshop), 2021)

Overcoming a Theoretical Limitation of Self-Attention. - David Chiang 001; Peter Cholak (ACL (1), 2022)

A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition. - Darcey Riley; David Chiang 001 (BlackboxNLP@EMNLP, 2022)

Algorithms for Weighted Pushdown Automata. - Alexandra Butoi; Brian DuSell; Tim Vieira; Ryan Cotterell; David Chiang 001 (EMNLP, 2022)

Learning Hierarchical Structures with Differentiable Nondeterministic Stacks. - Brian DuSell; David Chiang 001 (ICLR, 2022)

Measuring Human Perception to Improve Handwritten Document Transcription. - Samuel Grieggs; Bingyu Shen 001; Greta Rauch; Pei Li; Jiaqi Ma; David Chiang 001; Brian L. Price; Walter J. Scheirer (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Convergence and Diversity in the Control Hierarchy. - Alexandra Butoi; Ryan Cotterell; David Chiang 001 (ACL (1), 2023)

Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines. - Stephen Bothwell; Justin DeBenedetto; Theresa Crnkovich; Hildegund Müller; David Chiang 001 (EMNLP, 2023)

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages. - Alexandra Butoi; Tim Vieira; Ryan Cotterell; David Chiang 001 (EMNLP, 2023)

BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text. - Aarohi Srivastava; David Chiang 001 (EMNLP (Findings), 2023)

The Surprising Computational Power of Nondeterministic Stack RNNs. - Brian DuSell; David Chiang 001 (ICLR, 2023)

Tighter Bounds on the Expressivity of Transformer Encoders. - David Chiang 001; Peter Cholak; Anand Pillay (ICML, 2023)

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet. - Chihiro Taguchi; Yusuke Sakai 010; Parisa Haghani; David Chiang 001 (INTERSPEECH, 2023)

Fine-Tuning BERT with Character-Level Noise for Zero-Shot Transfer to Dialects and Closely-Related Languages. - Aarohi Srivastava; David Chiang 001 (VarDial@EACL, 2023)

Masked Hard-Attention Transformers and Boolean RASP Recognize Exactly the Star-Free Languages. - Dana Angluin; David Chiang 001; Andy Yang (CoRR, 2023)

Transformers as Recognizers of Formal Languages: A Survey on Expressivity. - Lena Strobl; William Merrill; Gail Weiss; David Chiang 001; Dana Angluin (CoRR, 2023)

Named Tensor Notation. - David Chiang 001; Alexander M. Rush; Boaz Barak (Trans. Mach. Learn. Res., 2023)

Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata. - Patrick M. Soga; David Chiang 001 (Trans. Mach. Learn. Res., 2023)

Exact Recursive Probabilistic Programming. - David Chiang 001; Colin McDonald; Chung-chieh Shan (Proc. ACM Program. Lang., 2023)

DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. - Fahim Faisal; Orevaoghene Ahia; Aarohi Srivastava; Kabir Ahuja; David Chiang 001; Yulia Tsvetkov; Antonios Anastasopoulos (ACL (1), 2024)

Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't. - Chihiro Taguchi; David Chiang 001 (ACL (1), 2024)

Improving Rare Word Translation With Dictionaries and Attention Masking. - Kenneth J. Sible; David Chiang 001 (AMTA (1), 2024)

PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin. - Stephen Bothwell; Brian DuSell; David Chiang 001; Brian Krostenko (LREC/COLING, 2024)

Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information. - Chihiro Taguchi; Jefferson Saransig; Dayana Velásquez; David Chiang 001 (LREC/COLING, 2024)

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns. - Brian DuSell; David Chiang 001 (ICLR, 2024)

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages. - Andy Yang; David Chiang 001; Dana Angluin (NeurIPS, 2024)

DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. - Fahim Faisal; Orevaoghene Ahia; Aarohi Srivastava; Kabir Ahuja; David Chiang 001; Yulia Tsvetkov; Antonios Anastasopoulos (CoRR, 2024)

Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers. - Andy Yang; David Chiang 001 (CoRR, 2024)

We're Calling an Intervention: Taking a Closer Look at Language Model Adaptation to Different Types of Linguistic Variation. - Aarohi Srivastava; David Chiang 001 (CoRR, 2024)

Nostra Domina at EvaLatin 2024: Improving Latin Polarity Detection through Data Augmentation. - Stephen Bothwell; Abigail Swenor; David Chiang 001 (CoRR, 2024)

Simulating Hard Attention Using Soft Attention. - Andy Yang; Lena Strobl; David Chiang 001; Dana Angluin (CoRR, 2024)

What Formal Languages Can Transformers Express? A Survey. - Lena Strobl; William Merrill; Gail Weiss; David Chiang 001; Dana Angluin (Trans. Assoc. Comput. Linguistics, 2024)

Transformers as Transducers. - Lena Strobl; Dana Angluin; David Chiang 001; Jonathan Rawski; Ashish Sabharwal (Trans. Assoc. Comput. Linguistics, 2025)

Transformers in Uniform TC0. - David Chiang 001 (Trans. Mach. Learn. Res., 2025)

Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages. - Kenneth J. Sible; David Chiang 001 (CoRR, 2025)

Knee-Deep in C-RASP: A Transformer Depth Hierarchy. - Andy Yang; Michaël Cadilhac; David Chiang 001 (CoRR, 2025)