Daniel Klein

Title
Professor of Computer Science
Department
Division of Computer Science/EECS
Phone
(510) 643-0805
Research Expertise and Interest
unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

In the News

June 14, 2022

Bakar Fellows program names seven new Spark Award recipients

From artificial ligaments and a novel approach to cancer treatment to “soft” batteries and a way to give voice to silent speech, new innovations from UC Berkeley faculty are getting a big vote of support from the Bakar Fellows program. Seven faculty members have been selected to receive the 2022 Bakar Fellows Spark Award, which is designed to accelerate faculty-led research and produce tangible, positive societal impact through commercialization.
February 11, 2013

Scientists create automated ‘time machine’ to reconstruct ancient languages

Ancient languages hold a treasure trove of information about the culture, politics and commerce of millennia past. Yet, reconstructing them to reveal clues into human history can require decades of painstaking work. Now, scientists at the University of California, Berkeley, have created an automated “time machine,” of sorts, that will greatly accelerate and improve the process of reconstructing hundreds of ancestral languages.

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In the News

June 14, 2022

Bakar Fellows program names seven new Spark Award recipients

From artificial ligaments and a novel approach to cancer treatment to “soft” batteries and a way to give voice to silent speech, new innovations from UC Berkeley faculty are getting a big vote of support from the Bakar Fellows program. Seven faculty members have been selected to receive the 2022 Bakar Fellows Spark Award, which is designed to accelerate faculty-led research and produce tangible, positive societal impact through commercialization.
February 11, 2013

Scientists create automated ‘time machine’ to reconstruct ancient languages

Ancient languages hold a treasure trove of information about the culture, politics and commerce of millennia past. Yet, reconstructing them to reveal clues into human history can require decades of painstaking work. Now, scientists at the University of California, Berkeley, have created an automated “time machine,” of sorts, that will greatly accelerate and improve the process of reconstructing hundreds of ancestral languages.

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