BCS Needham Lecture 2016
6:00 PM to 9:00 PM
Language learning in humans and machines: making connections to make progress
Computer processing of speech and language has advanced enormously in the last decade, with many people now using applications such as automatic translation, voice-activated search, and even language-enabled personal assistants. Yet these systems still lag far behind human capabilities, and the success they do have relies on machine learning methods that learn from very large quantities of human-annotated data (for example speech data with transcriptions or text labelled with syntactic parse trees). These resource-intensive methods mean that effective technology is available for only a tiny fraction of the world's 5000 or more languages, mainly those spoken in large rich countries.
Introduction and presentation of awards: 18.30-19.00
Optional buffet/drinks reception: 20.30-21.30