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      <text bytes="2971" sha1="2efax67c5gswhxqmtzkuh67sys8mduj" xml:space="preserve">==Computational Linguistics and Information Processing at Maryland==

The CLIP Laboratory at Maryland is engaged in designing algorithms and methods that allow computers to effectively and efficiently perform human language-related tasks, as well as using computational methods to improve our scientific understanding of the human capacity for language, and to explore heterogeneous datasets at scale. With faculty, researchers, and students spanning 
the '''[http://www.cs.umd.edu/ Department of Computer Science]''', the '''[http://www.ling.umd.edu/ Department of Linguistics]''',
the '''[http://ischool.umd.edu/ iSchool]''', and
the '''[http://www.rhsmith.umd.edu/ Robert H. Smith School of Business]''',
we are a group known not only for high quality research but also intellectual diversity and the strength of our collaborations. 

&lt;!-- &lt;center&gt;[[Image:testudo.png|left|200px|x]]&lt;/center&gt; --&gt;
We are part of the broader &lt;span class="plainlinks"&gt;[http://languagescience.umd.edu/ language science]&lt;/span&gt; center at Maryland, which integrates social and biological sciences with computer science and engineering. A number of language researchers in the CLIP lab are also affiliated with the 
&lt;span class="plainlinks"&gt;'''[https://nacs.umd.edu/ Neuroscience and Cognitive Science (NACS) program]'''&lt;/span&gt;.  The lab is a part of the &lt;span class="plainlinks"&gt;'''[http://umiacs.umd.edu/ University of Maryland Institute for Advanced Computer Studies (UMIACS)]'''&lt;/span&gt;, and it is 
located in the Brendan Iribe Center for Computer Science and Engineering. 

CLIP research covers major areas of computational research on language, including (but not limited to!) 
deep learning,
human-in-the-loop machine learning,
multilingual text processing and low-resource languages, 
[[Research#Machine_Translation|machine translation]], and
computational psycholinguistics and neurolinguistics.
We also study
speech retrieval and
cross-language information retrieval.
Additional challenges include 
ranking and personalization,
[[Research#Computational_Social_Science|computational social science]]
NLP for mental health,
data science for finance,
data science for social good and e-discovery.

For further information about the CLIP Laboratory, feel free to contact its current director, '''[https://www.cs.umd.edu/~marine/ Marine Carpuat]'''. 

If you're new to the lab, check out the '''[https://wiki.umiacs.umd.edu/clip/index.php/Getting_Started Getting Started Page]'''!

&lt;!--
OLD MATERIAL, COMMENTED OUT JULY 2017
Research in machine learning focuses on latent variable models of language, approximate inference, and how to make probabilistic models understandable to users.

Data management research focuses on architectures for wide area computation with heterogeneous information servers, pattern  discovery from the annotated hyperlinked Web of life science resources, personalization and ranking and recommendation for social media, and event detection and monitoring.
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