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Prof

Trevor Cohn

Professor
Computing And Information Systems
Translation
Text mining
Text analytics
Machine Learning
science & technology
technology
computer science
computer science, artificial intelligence
computer science, interdisciplinary applications
Trevor Cohn's Profile Picture
Prof

Trevor Cohn

 
Division
Engineering
 
Primary Interest
Natural Language Processing
Trevor Cohn's Profile Picture
Prof

Trevor Cohn

 

Trevor Cohn is an Associate Professor in the School of Computing and Information Systems, The University of Melbourne and an Australian Research Council Future Fellow. He was previously employed at the University of Sheffield and the University of Edinburgh, and has held visiting positions at the University of Melbourne and Johns Hopkins University.

His research interests focus on development of probabilistic and statistical machine learning methods for modelling natural language text, with particular interests in machine translation, parsing and grammar induction. Current projects include text analytics and rumour diffusion over social media, translating diverse and noisy text sources and speech translation. He has served on the editorial boards for Computational Linguistics and Computer Speech and Language, as area chair and reviews for major conferences including ACL, EMNLP, COLING and NIPS, as well as reviewing for several grant authorities. Trevor completed a BEng(Software) and BComm(Finance) in 2000, followed by a PhD(Engineering) in 2007, all at The University of Melbourne. Prior to commencing his position at The University of Melbourne, he was a Senior Lecturer at The University of Sheffield (2009-2014).

Find out more about Trevor Cohn's experience

Trevor Cohn's highlights

Projects

Displaying the 10 most recent projects by Trevor Cohn.

16

Projects

Project Types


14

Research Grant


1

Internal Research Grant


1

Research Contracts


Additional Information

  1. Efficient storage and access to text count data -- An application to unlimited order language modelling. 2016 – 2017. Google Research Award, $US85k.
  2. Low Resource Languages for Emergent Incidents (LORELEI). 2015 – 2017. DARPA subcontract, $294k.
  3. IBM Research Award. 2016. IBM Research Award, $20k.
  4. Learning Deep Semantics for Automatic Translation between Human Languages. 2016 – 2019. ARC Discovery, $450k.
  5. Adaptive Context-Dependent Machine Translation for Heterogeneous Text. 2014 – 2018. ARC Future Fellowship, $730k.
  6. WFST-based integration of ASR and MT in Spoken Language Translation. 2014 – 2015. Google Research Award, $US97k.
  7. Pheme: Computing Veracity Across Media, Languages, and Social Networks. 2014 – 2017. EU FP7, £494k.
  8. TrendMiner: Large-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams. 2011 – 2014. EU FP7, £529k.
  9. QuEsT: An open source tool for machine translation quality estimation. 2012. PASCAL Harvest, €20k.
  10. SLaTr: A Joint Model of Spoken Language Translation. 2011. Google Research Award, $US60k.
  11. Barista: Non-Parametric Models of Phrase-based Machine Translation. 2011 – 2012. EPSRC first grant, £127k.
  12. Grammar induction challenge. 2011. PASCAL Challenge, €10k.
  13. Discriminative Phrase-Based Statistical Machine Translation. 2007 – 2010. EPSRC with Miles Osborne. £300k.

Scholarly Works

Displaying the 10 most recent scholarly works by Trevor Cohn.

Honours, Awards and Fellowships

2016

Best Short Paper Award for paper "Learning a Lexicon and Translation Model from Phoneme Lattices"

EMNLP

2013

Ted Nelson Award for paper "Where's @Wally: A classification approach to geolocating users based on their social ties"

ACM Hypertext

2013

Best Paper Award, 2nd place

CICLING

3

Awards

Credentials

Positions

Positions


Professor

Computing And Information Systems

Education

Education


Post Graduate Certificate in Learning and Teaching

University of Sheffield

PhD in Engineering

University of Melbourne

Backelor of Engineering (Hons)

University of Melbourne

Bachelor of Commerce

University of Melbourne

Links

Links