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Publications

Arturo Argueta and David Chiang. Accelerating sparse matrix operations in neural networks on graphics processing units. In Proc. ACL. 2019. To appear. BibTeX
Xuan Zhang, Gaurav Kumar, Huda Khayrallah, Kenton Murray, Jeremy Gwinnup, Marianna J Martindale, Paul McNamee, Kevin Duh, and Marine Carpuat. An empirical exploration of curriculum learning for neural machine translation. 2018. arXiv:1811.00739. PDF BibTeX
Alison Lui, Antonios Anastasopoulos, and David Chiang. Neural machine translation of text from non-native speakers. In Proc. NAACL. 2019. Preprint, to appear. PDF BibTeX
Kenton Murray and David Chiang. Correcting length bias in neural machine translation. In Proc. WMT, 212–223. 2018. PDF BibTeX
Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos, Arya D. McCarthy, Kevin Duh, Rebecca Marvin, Paul McNamee, Jeremy Gwinnup, Tim Anderson, and Philipp Koehn. Freezing subnetworks to analyze domain adaptation in neural machine translation. In Proc. WMT, 124–132. 2018. PDF BibTeX
Xinyi Wang, Salvador Aguinaga, Tim Weninger, and David Chiang. Growing better graphs with latent-variable probabilistic graph grammars. In Proc. Workshop on Mining and Learning with Grammars. 2018. PDF BibTeX
Antonios Anastasopoulos, Marika Lekakou, Josep Quer, Eleni Zimianiti, Justin DeBenedetto, and David Chiang. Part-of-speech tagging on an endangered language: a parallel Griko-Italian resource. In Proc. COLING, 2529–2539. 2018. PDF BibTeX
Marcely Zanon Boito, Antonios Anastasopoulos, Marika Lekakou, Aline Villavicencio, and Laurent Besacier. A small Griko-Italian speech translation corpus. In Proc. Workshop on Spoken Language Technologies for Under-Resourced Languages. 2018. BibTeX
Arturo Argueta and David Chiang. Composing finite state transducers on GPUs. In Proc. ACL, 2697–2705. 2018. PDF BibTeX
Justin DeBenedetto and David Chiang. Algorithms and training for weighted multiset automata and regular expressions. In Proc. Implementation and Applications of Automata, 146–158. 2018. PDF BibTeX
Antonios Anastasopoulos and David Chiang. Leveraging translations for speech transcription in low-resource settings. In Proc. INTERSPEECH. 2018. PDF BibTeX
Corey Pennycuff, Satyaki Sikdar, Catalina Vajiac, David Chiang, and Tim Weninger. Synchronous hyperedge replacement graph grammars. In Proc. Graph Transformations. 2018. BibTeX
Antonios Anastasopoulos and David Chiang. Tied multitask learning for neural speech translation. In Proc. NAACL HLT, volume 1, 82–91. 2018. PDF BibTeX
Toan Nguyen and David Chiang. Improving lexical choice in neural machine translation. In Proc. NAACL HLT, volume 1, 334–343. 2018. PDF BibTeX
Huadong Chen, Shujian Huang, David Chiang, Xinyu Dai, and Jiajun Chen. Combining character and word information in neural machine translation using a multi-level attention. In Proc. NAACL HLT, volume 1, 1284–1293. 2018. PDF BibTeX
Salvador Aguinaga, David Chiang, and Tim Weninger. Learning hyperedge replacement grammars for graph generation. IEEE Trans. Pattern Analysis and Machine Intelligence, 41(3):625–638, 2019. doi:10.1109/TPAMI.2018.2810877. PDF BibTeX
David Chiang, Frank Drewes, Adam Lopez, and Giorgio Satta. Weighted DAG automata for semantic graphs. Computational Linguistics, 44(1):119–186, 2018. PDF BibTeX
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, and Pengcheng Yin. DyNet: the dynamic neural network toolkit. 2017. arXiv:1701.03980. PDF BibTeX
Toan Q. Nguyen and David Chiang. Transfer learning across low-resource, related languages for neural machine translation. In Proc. IJCNLP, volume 2, 296–301. 2017. PDF BibTeX
Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai, and Jiajun Chen. Top-rank enhanced listwise optimization for statistical machine translation. In Proc. CoNLL, 90–99. 2017. PDF BibTeX
Antonios Anastasopoulos, Sameer Bansal, David Chiang, Sharon Goldwater, and Adam Lopez. Spoken term discovery for language documentation using translations. In Proc. Workshop on Speech-Centric NLP, 53–58. 2017. PDF BibTeX
Antonios Anastasopoulos and David Chiang. A case study on using speech-to-translation alignments for language documentation. In Proc. Workshop on Use of Computational Methods in Study of Endangered Languages, 170–178. 2017. PDF BibTeX
Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. Improved neural machine translation with a syntax-aware encoder and decoder. In Proc. ACL, volume 1, 1936–1945. 2017. PDF BibTeX
Arturo Argueta and David Chiang. Decoding with finite-state transducers on GPUs. In Proc. EACL, volume 1, 1044–1052. 2017. PDF BibTeX
Ulf Hermjakob, Qiang Li, Daniel Marcu, Jonathan May, Sebastian J. Mielke, Nima Pourdamghani, Michael Pust, Xing Shi, Kevin Knight, Tomer Levinboim, Kenton Murray, David Chiang, Boliang Zhang, Xiaoman Pan, Di Lu, Ying Lin, and Heng Ji. Incident-driven machine translation and name tagging for low-resource languages. Machine Translation, 32(1–2):59–89, 2018. doi:10.1007/s10590-017-9207-1. DOI BibTeX
Antonios Anastasopoulos, David Chiang, and Long Duong. An unsupervised probability model for speech-to-translation alignment of low-resource languages. In Proc. EMNLP, 1255–1263. 2016. PDF BibTeX
Salvador Aguiñaga, Rodrigo Palacios, David Chiang, and Tim Weninger. Growing graphs from hyperedge replacement graph grammars. In Proc. CIKM, 469–478. 2016. doi:10.1145/2983323.2983826. DOI BibTeX
Long Duong, Antonios Anastasopoulos, David Chiang, Steven Bird, and Trevor Cohn. An attentional model for speech translation without transcription. In Proc. NAACL HLT, 949–959. 2016. PDF BibTeX
Kenton W. Murray and Jayant Krishnamurthy. Probabilistic neural programs. In Proc. Workshop on Neural Abstract Machines and Program Induction. 2016. PDF BibTeX
Tomer Levinboim and David Chiang. Supervised phrase table triangulation with neural word embeddings for low-resource languages. In Proc. EMNLP, 1079–1083. 2015. PDF BibTeX
Tomer Levinboim and David Chiang. Multi-task word alignment triangulation for low-resource languages. In Proc. NAACL HLT, 1221–1226. 2015. PDF BibTeX
Kenton Murray and David Chiang. Auto-sizing neural networks: with applications to \(n\)-gram language models. In Proc. EMNLP, 908–916. 2015. PDF BibTeX
Tomer Levinboim, Ashish Vaswani, and David Chiang. Model invertibility regularization: sequence alignment with or without parallel data. In Proc. NAACL HLT, 609–618. 2015. PDF Code BibTeX
Steven Bird, David Chiang, Friedel Frowein, Florian Hanke, and Ashish Vaswani. Documentary linguistics and computational linguistics: a response to Brooks. Language Documentation and Conservation, 9:10–11, 2015. BibTeX