UNIVERSITY of NOTRE DAME (HTTP://WWW.ND.EDU) DEPARTMENT of COMPUTER SCIENCE AND ENGINEERING (HTTP://CSE.ND.EDU)
Natural language processing (NLP) aims to enable computers to use human languages – so that people can, for example, interact with computers naturally; or communicate with people who don't speak a common language; or access speech or text data at scales not otherwise possible. The NLP group at Notre Dame is interested in all aspects of NLP, with a focus on machine translation.
David Chiang (http://www.nd.edu/~dchiang)
Antonios Anastasopoulos (http://www.nd.edu/~aanastas)
Kenton Murray (http://kentonmurray.com)
Arturo Argueta (http://www.nd.edu/~aargueta)
Justin DeBenedetto (http://www.nd.edu/~jdebened)
Toan Nguyen (http://www.nd.edu/~tnguye28)
Brian DuSell (http://bdusell.com)
Huadong Chen (Nanjing University)
Tomer Levinboim (http://www3.nd.edu/~tlevinbo/) (PhD 2017 Õ Google)
Cindy Xinyi Wang (BS 2017 Õ CMU)
Unsupervised multilingual language learning Models and algorithms for translation, word alignment, and bilingual lexicon induction from parallel and non-parallel texts. Sponsored by DARPA LORELEI and a Google Faculty Research Award. Neural networks for machine translation Models and algorithms for translation and language modeling using neural networks. Sponsored by an Amazon Academic Research Award and a Google Faculty Research Award. Documenting endangered languages Technologies for large-scale data collection and automatic transcription and word alignment in endangered and unwritten languages. Sponsored by the National Science Foundation. Graph grammars for semantics Theory and implementation of grammar formalisms for describing graphs for natural language semantics. Based on the 2014 JHU Workshop on Meaning Representations in Language and Speech Processing (http://www.clsp.jhu.edu/workshops/archive/ws14-summer-workshop/).
Improving Lexical Choice in Neural Machine Translation. Toan Q. Nguyen and David Chiang, 2017. [PDF] (https://arxiv.org/pdf/1710.01329.pdf) Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation. Toan Q. Nguyen and David Chiang, 2017. In Proc. IJCNLP. [PDF] (Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation) Top-rank enhanced listwise optimization for statistical machine translation. Huadong Chen, Shujian Huang, David Chiang, Xin-Yu Dai, and Jiajun Chen. CoNLL 2017. [PDF] (http://www.aclweb.org/anthology/K/K17/K17-1011.pdf) Improved neural machine translation with a syntax-aware encoder and decoder. Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. ACL 2017. [PDF] (http://aclweb.org/anthology/P17-1177) 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] (https://www.aclweb.org/anthology/E/E17/E17-1098.pdf) DyNet: The Dynamic Neural Network Toolkit. Graham Neubig et al. 2017. [PDF] (https://arxiv.org/pdf/1701.03980v1.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] (http://aclweb.org/anthology/W/W17/W17-0123.pdf) Probabilistic neural programs. Kenton W. Murray and Jayant Krishnamurthy. NIPS Workshop on Neural Abstract Machines and Program Induction, 2016. [PDF] (https://arxiv.org/pdf/1612.00712v1.pdf) An unsupervised probability model for speech-to-translation alignment of low-resource languages. Antonios Anastasopoulos, Long Duong, and David Chiang. EMNLP 2016. [PDF] (https://www.aclweb.org/anthology/D/D16/D16-1133.pdf) An attentional model for speech translation without transcription. Long Duong, Antonios Anasatasopoulos, Trevor Cohn, Steven Bird, and David Chiang. NAACL HLT 2016. [PDF] (http://www.aclweb.org/anthology/N16-1109.pdf) Auto-sizing neural networks: with applications to n-gram language models. Kenton Murray and David Chiang. EMNLP 2015. [PDF] (http://www.aclweb.org/anthology/D15-1107) Supervised phrase table triangulation with neural word embeddings for low-resource languages. Tomer Levinboim and David Chiang. EMNLP 2015. [PDF] (http://www.aclweb.org/anthology/D15-1126) Multi-task word alignment triangulation for low-resource languages. Tomer Levinboim and David Chiang. NAACL HLT 2015. [PDF] (http://www.aclweb.org/anthology/N15-1129) Model invertibility regularization: sequence alignment with or without parallel data. Tomer Levinboim, Ashish Vaswani, David Chiang. NAACL HLT 2015. [PDF] (http://www.aclweb.org/anthology/N15-1063) [code] (https://github.com/vaswani/MIR_ALIGNMENT)
2017/11/09 Talk: Karl Stratos (Toyota Technological Institute at Chicago)
2017/11/10 Talk: Kyunghyun Cho (New York University) 2017/12/07 Talk: Taylor Berg-Kirkpatrick (Carnegie Mellon University) 2018/02/09–12 Interlocutors 2018: Languages, Teaching & Programming (http://cslc.nd.edu/research/conferences-and-symposiums/interlocutors-2018/) 2018/05/10–11 Midwest Speech and Language Days 2018 Past events (events.html) Õ
Center for the Study of Languages and Cultures (http://cslc.nd.edu) Language and Linguistics Working Group (http://cslc.nd.edu/faculty/committees/language-and-linguistics-working-group/) Center for Digital Scholarship (http://library.nd.edu/cds/) Text Analysis Working Group
Walter Scheirer (http://www.wjscheirer.com) (CSE): machine learning and digital humanities Matthew Wilkens (http://mattwilkens.com) (English): digital humanities
CSE 40657/60657, Natural Language Processing, Prof. David Chiang (http://www3.nd.edu/~dchiang/teaching/nlp/) AL 20301, Introduction to Linguistics, Prof. Hana Kang PHIL 43916, Natural Language Semantics, Prof. Jeffrey Speaks (http://www3.nd.edu/~jspeaks/courses/2014-15/43916/index.html) ENGL (new course), Topics in Quantitative Literary Studies, Prof. Matthew Wilkens
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