Proposing and Advancing to Candidacy. Student Conferences and Diversity Initiatives. Alex Huth and Simon Peter Awarded Sloan Research Fellowships. Being in UTCS is different from the inside.

I am a Research Scientist at Google Research. My research focuses on Natural. The University of Texas at Austin. Was later a postdoc in Computer Science at. Low-Resource Machine Learning for NLP. An Unsupervised Model of Orthographic Variation for Historical Document Transcription. A Supertag-Context Model for Weakly-Supervised CCG Parser Learning.

Modern society is generating massive amounts of new information each and every day. And much of this information comes in the form of natural language text. For example, Twitter users alone produce over 140 million tweets every day! Has addressed computationally-intensive analysis of smaller datasets, MapReduce addresses information-intensive analysis.

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Advances in computational linguistics have not only led to industrial applications of language technology; they can also provide useful tools for linguistic investigations of large online collections of text and speech, or for the validation of linguistic theories. Practical programming techniques, tips and tricks, including version control systems, will also be discussed.

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The field of computational linguistics deals with both the science behind providing such capabilities and the actual creation of applications which implement them. This course discusses the main natural language processing applications and provides an introduction to the key representations and algorithms used in computational linguistics and to the use of machine learning for NLP tasks. The semester has begun, a.