Edinburgh Research Explorer

Dr Kenneth Heafield

Lecturer in Data Science

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.

Research outputs

  1. Sparse Communication for Distributed Gradient Descent

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Copied Monolingual Data Improves Low-Resource Neural Machine Translation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. The University of Edinburgh’s Neural MT Systems for WMT17

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

View all (17) »

Research projects

  1. ATI Faculty Fellowship

    Project: Funded ProjectResearch

  2. Making Web Crawl a Turing Resource

    Project: Funded ProjectResearch

View all (2) »

ID: 21896240