Our society is globally connected, but language barriers prevent deeper connections and mutual understanding. To break these barriers, my research group works on multilingual natural language processing (NLP) systems that understand and generate human language. Progress in NLP requires advances in machine learning, computer science, and linguistics. We are interested in many basic research problems in these fields.


Selected Papers

N-gram language models for massively parallel devices
Nikolay Bogoychev and Adam Lopez. In Proceedings of ACL, 2016.
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Neural networks for negation scope detection
Federico Fancellu, Adam Lopez, and Bonnie Webber. In Proceedings of ACL, 2016.
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AMRICA: an AMR Inspector for Cross-language Alignments
Naomi Saphra and Adam Lopez. In NAACL-HLT Demonstrations, 2015.
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Gappy pattern matching on GPUs for on-demand extraction of hierarchical translation grammars
Hua He, Jimmy Lin, and Adam Lopez. In Transactions of the ACL, 3 2015.
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Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT
With Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beenish Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, and Shang Zhao. In Transactions of the ACL, 1 : pages 165–178, 2013.
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