Gaurav Kumar

226 Hackerman Hall
Center for Language and Speech Processing
Johns Hopkins University

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Who?

I am a Ph.D. student in the Department of Computer Science at Johns Hopkins University. I am a Research Assistant affiliated with the Center for Language and Speech Processing and advised by Dr. Sanjeev Khudanpur and Dr. Philipp Koehn. My main research interests are speech recognition, machine translation, natural language processing and machine learning.

Publications

Using of heterogeneous corpora for training of an ASR system (arXiv preprint, 2017) | Jan Trmal, Gaurav Kumar, Vimal Manohar, Sanjeev Khudanpur, Matt Post and Paul McNamee
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DyNet: The Dynamic Neural Network Toolkit (arXiv preprint, 2017) | 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
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A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation (EMNLP, 2015) | Gaurav Kumar, Graeme Blackwood, Jan Trmal, Daniel Povey and Sanjeev Khudanpur
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Joshua 6: A phrase-based and hierarchical statistical machine translation system (Prague Bulletin of Mathematical Linguistics, 2015) | Matt Post and Yuan Cao and Gaurav Kumar
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Translations of the CALLHOME Egyptian Arabic Corpus for Conversational Speech Translation (IWSLT, 2014) | Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey and Sanjeev Khudanpur
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Some Insights from Translating Conversational Telephone Speech (ICASSP, 2014) | Gaurav Kumar, Matt Post, Daniel Povey and Sanjeev Khudanpur
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Improved Speech-to-Text Translation with the Fisher and Callhome Spanish--English Speech Translation Corpus (IWSLT, 2013) | Matt Post, Gaurav Kumar, Adam Lopez, Damianos Karakos, Chris Callison-Burch and Sanjeev Khudanpur
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Presentations

A Stack-based Algorithm for Neural Lattice Rescoring (CLSP Seminar, JHU, Apr 2017) pdf

Tensorflow tutorial (NMT Winter School, JHU, Jan 2017) pdf

Machine Translation and Neural Networks (CLSP Seminar, JHU, Mar 2015) pdf

Automatic Text Message based Vaccination Reminders to Improve Compliance (Southern Society for Pediatric Research, 2015) | Akshay Sharma, Anil P. George, Parvathi Nataraj, Katherine E. Wimberly, Gaurav Kumar, Kimberly Northrip

Learning about transitions: Adaptive Controls for the Molecular Dynamics Database (58th Annual Meeting of the Biophysical Society, 2014) | Sarana Nutanong, Yanif Ahmad, I-Jeng Wang, Jeliazko Jeliazkov, Gaurav Kumar and Thomas B. Woolf

Non-Academic activities