Machine Translation
Machine Translation
Prof. Aline Villavicencio
The successful candidate will be expected to lead the design and development of strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. For both lines of research, you will build on state-of-the-art approaches based on deep learning.
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The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2024. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: Natural language processing and computational linguistics, Machine Translation, Speech technology, Dialogue, multimodal interaction, language and vision, Computational Cognitive Science, including language and speech, decision-making, learning and generalization, Social Media and Computational Social Science, Human-Computer interaction, design informatics, assistive and educational technology, Information retrieval and visualization. Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 19,162 (2024/25 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals.