ARC Future Fellowships - Grant ID: FT130101105

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT130101105

Funding Status
Closed

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Funded Activity Summary

Adaptive Context-Dependent Machine Translation for Heterogeneous Text. While automatic machine translation technologies are undoubtedly useful to a wide range of users, they often produce incoherent outputs for many types of input, for example, medical, literature, or even conversational text. This project will develop new adaptive machine translation systems to handle many domains and text styles, including heterogeneous mixed-domain inputs. It will develop multi-task machine learning methods for training collections of domain-specific translation systems while leveraging correlations between domains. This approach will reduce the big data requirements of current translation systems, and improve translation quality across a wide range of different language pairs and application domains.

Funded Activity Details

Start Date: 22-03-2014

End Date: 31-12-2019

Funding Scheme: ARC Future Fellowships

Funding Amount: $729,550.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing | Natural Language Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Communication Across Languages and Culture | Application Tools and System Utilities |

Other Keywords

Application Tools and System Utilities | Artificial Intelligence and Image Processing | Communication Across Languages and Culture | Expanding Knowledge in the Information and Computing Sciences | Natural Language Processing | Pattern Recognition and Data Mining

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