Understanding of human language by computers has been a central goal of
Artificial Intelligence since its beginnings, with massive potential to
improve communication, provide better information access and automate basic
human tasks. My research focuses on technologies for automatic processing of
human language, with several applications including automatic translation
(akin to Google and
Bing's translation tools).
My core focus is on probabilistic machine learning modelling
of language applications, particularly handling uncertain
or partly observed data and structured prediction problems.
- We'll be hiring a 2-3 year postdoc in machine translation and deep learning shortly. Please watch this space for more details (e.g., March/April), or email me if you're interested and I'll keep you posted.
Efficient storage and access to text count data: An application to unlimited order language modelling.
2016 – 2017.
Google Research Award, $US 85k.
Learning Deep Semantics for Automatic Translation between Human Languages.
2016 – 2019.
ARC Discovery with Reza Haffari, $450k.
Ariel: Analysis of Rare Incident-Event Languages.
2015 – 2018.
DARPA LORELEI (sub-contract), $300k.
Adaptive Context-Dependent Machine Translation for Heterogeneous Text.
2014 – 2018.
ARC Future Fellowship, $730k.
Pheme: Computing Veracity Across Media, Languages, and Social Networks.
2014 – 2017.
EU FP7 with Kalina Bontcheva and others, £494k.