Students

Jie Chi
Interested in machine learning; computational linguistics; speech recognition, with a focus on multilingual and low-resource language perspectives; natural language processing.

Nina Markl
Main research interests are (computational) sociolinguistics, ethics in NLP and AI, sociophonetics, language variation and change, language and identity.

Irene Winther
Mechanisms of lexical activation, the organisation of the mental lexicon, semantic context, prediction, bi-/multilingualism and computational modelling

Rimvydas Rubavicius
Research interests: computational semantics and pragmatics of embodied conversation, in service to interactive task learning.

Faheem Kirefu
Research interests are primarily in machine translation (in particular, low resource techniques) and natural language understanding.

Dan Wells
Investigating speech synthesis for low-resource languages through multilingual modelling, transfer learning and model adaptation in end-to-end neural network systems.

Tom Hosking
Research interests cover language generation, machine reading and machine learning, with a particular focus on question generation.

Parag Jain
Interested in natural language generation and semantic parsing.

Georgia Carter
Semantics, prediction, discourse comprehension, neural networks and computational linguistics.

Henry C Conklin
Linguistic emergence, grounding, and evolution. Reinforcement learning, sequence learning, and representation learning. Cognitive, neural, and language modelling.

Nikita Moghe
Research interests: Multilingual dialogue systems, neural machine translation, representation learning.

Laurie Burchell
Low-resource machine translation and scalable parallel corpus creation

Nicole Meng
Primary interest is in usable security; looking at the privacy implications of voice-controlled interfaces, especially smart speakers, and the social impact of such systems.

Rohit Saxena
Research interests include machine learning, natural language processing, multimodal machine learning, computer vision.

Emelie van de Vreken
Interests lie in machine learning for speech synthesis and prosody modelling.