Low-Resource Languages Lab

David Yarowsky

We focus on minimally supervised ("low-resource") and massively multilingual techniques in machine learning (ML) and natural language processing (NLP). We apply these methods to machine translation, speech recognition, lexicon induction, and historical linguistics. We are also the core of the Universal Morphology (UniMorph) project.

We are led by David Yarowsky, ACL Fellow and Treasurer, Professor of Computer Science, and member of the multi-departmental Center for Language and Speech Processing at Johns Hopkins University (JHU), who is also affiliated with the Human Language Technology Center of Excellence.

On campus? Visit us in Hackerman 226.

The paper is a tour de force in harnessing multiple on-line resources of varying quality.

I don’t know…you’re running it on languages it’s never seen before.

Lab News

Research Interests

Basic Research
Machine Translation
Natural Language Processing
Information Extraction


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  • We're still adding earlier papers! For now, be sure to check Google Scholar.

    Current members

    PhD students




    (Student co-authors, including undergraduates. Bolded if David advised their dissertation or supervised their postdoc)