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.
- Co-organising the ALTA 2016 workshop to be held in Monash Caulfield campus in Melbourne, on the 5th - 7th of December 2016. Please submit your papers by 30th September.
- Giving a tutorial on succinct data structures for NLP at COLING 2016 in Osaka, Japan on 12th December, 2016.
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.