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.
- Melbourne will host ACL 2018 to be held in July, with Tim Baldwin, Karin Verspoor and myself serving as the local chairs.
- My group had great publishing success, with 3 papers to appear at NAACL 2018 and 7 papers at ACL 2018 (details below).
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.