David Chiang 蔣偉

Associate Professor, Computer Science and Engineering
Natural Language Processing Group

My research is in natural language processing, the subfield of computer science that aims to enable computers to understand and produce human language. I focus mainly on language translation, and am interested in syntactic parsing and other areas as well.

Teaching

Recent publications

Improving Lexical Choice in Neural Machine Translation. Toan Q. Nguyen and David Chiang, 2017. PDF
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation. Toan Q. Nguyen and David Chiang, 2017. In Proc. IJCNLP. PDF
Top-rank enhanced listwise optimization for statistical machine translation. Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai, and Jiajun Chen. CoNLL 2017. [PDF]
Improved neural machine translation with a syntax-aware encoder and decoder. Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. ACL 2017. PDF
Spoken term discovery for language documentation using translations. Workshop on Speech-Centric Natural Language Processing, 2017.
Decoding with finite-state transducers on GPUs. Arturo Argueta and David Chiang. EACL 2017. PDF
A case study on using speech-to-translation alignments for language documentation. Antonios Anastasopoulos and David Chiang. Second Workshop on Computational Methods for Endangered Languages, 2017. PDF
An unsupervised probability model for speech-to-translation alignment of low-resource Languages. Antonios Anastasopoulos, Long Duong, and David Chiang, 2016. In Proc. EMNLP. PDF
Growing graphs from hyperedge replacement graph grammars. Salvador Aguinaga, Rodrigo Palacios, David Chiang, and Tim Weninger, 2016. In Proc. CIKM. PDF
An attentional model for speech translation without transcription. Long Duong, Antonios Anasatasopoulos, Trevor Cohn, Steven Bird, and David Chiang, 2016. In Proc. NAACL HLT. PDF
Auto-sizing neural networks: with applications to n-gram language models. Kenton Murray and David Chiang, 2015. In Proc. EMNLP. PDF
Supervised phrase table triangulation with neural word embeddings for low-resource languages. Tomer Levinboim and David Chiang, 2015. In Proc. EMNLP.
Model Invertibility Regularization: Sequence alignment with or without parallel data. Tomer Levinboim, Ashish Vaswani and David Chiang, 2015. In Proc. NAACL HLT, pages 609–618. PDF
Multi-task word alignment triangulation for low-resource languages. Tomer Levinboim and David Chiang, 2015. In Proc. NAACL HLT, pages 1221–1226. PDF
Improving word alignment using word similarity. Theerawat Songyot and David Chiang, 2014. In Proc. EMNLP. PDF
Kneser-Ney smoothing on expected counts. Hui Zhang and David Chiang, 2014. In Proc. ACL, 765–774. PDF
Decoding with large-scale neural language models improves translation. Ashish Vaswani, Yinggong Zhao, Victoria Fossum, and David Chiang, 2013. In Proc. EMNLP, 1387–1392. PDF
Parsing graphs with hyperedge replacement grammars. With Jacob Andreas, Daniel Bauer, Karl Moritz Hermann, Bevan Jones and Kevin Knight, 2013. In Proc. ACL, 924–932. PDF BibTeX

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