Edinburgh Research Explorer

Research Interests

Streaming algorithms, big data, machine translation, language modeling, and natural language processing

Qualifications

8/2008–9/2013, PhD, Dissertation: Efficient Language Modeling Algorithms with Applications to Statistical Machine Translation, Carnegie Mellon.

9/2003–3/2007, Bachelor of Science, Double major in Mathematics and Computer Science with Honours, Caltech.

Biography

Kenneth Heafield, a Lecturer at the University of Edinburgh, makes natural language processing scale to trillions of words and wrote the KenLM toolkit for language modeling. Previously, he helped setup Bloomberg's academic grant program and worked at Stanford as a postdoctoral scholar. He completed his Ph.D. at Carnegie Mellon in 2013 advised by Alon Lavie and spent a year concurrently working as a research associate with Philipp Koehn.

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