Trevor Cohn awarded EPSRC Fellowship

Dr Trevor Cohn has been awarded a prestigious EPSRC Fellowship to support a 5-year project on machine translation.

While automatic machine translation technologies are undoubtedly useful to a wide range of users, they have many shortcomings. Notably they often produce incoherent outputs when translating many types of input text, e.g., medical texts, literature, or even conversational text. Trevor's project aims to develop new machine translation systems which can be more efficiently adapted to new domains and text styles, and handle heterogeneous mixed-domain inputs. This is framed as a multi-task machine learning problem in which a collection of domain-specific translation systems are learned jointly, leveraging correlations between related domains. This approach will help to reduce the "big data" requirements of current translation systems, while also improving translation quality across a wide range of different language pairs and application domains.

You can find out more about Trevor's research on his personal home page