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Computational Linguistics and Information Processing

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==Computational Linguistics and Information Processing at Maryland==
Looking for our [http://www.umiacs.umd.edu/research/CLIP-old/ old webpage]?
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==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. 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.
 
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We are part of the broader <span class="plainlinks">[http://languagescience.umd.edu/ language science]</span> initiative 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 <span class="plainlinks">'''[http://lamp.cfar.umd.edu/media.htm Language and Media Processing (LAMP) Laboratory]'''</span> and the
<span class="plainlinks">'''[https://nacs.umd.edu/ Neural and Cognitive Systems (NACS) program]'''</span>.
 
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]],
e-discovery,
[[Research#Summarization|summarization]],
speech retrieval,
cross-language information retrieval,
ranking and personalization,
[[Research#Computational_Social_Science|computational social science]]
NLP for mental health,
data science for finance,
data science for social good, and
computational psycholinguistics.


The CLIP laboratory at Maryland is engaged in designing algorithms and building systems which allow computers to effectively and efficiently perform human language-related tasks and is part of the broader <span class="plainlinks">[http://languagescience.umd.edu/ language science]</span> initiative at Maryland. The lab is a part of the <span class="plainlinks">'''[http://umiacs.umd.edu/ University of Maryland Institute for Advanced Computer Studies (UMIACS)]'''</span>, and is composed of faculty, researchers, and students spanning multiple departments:
The lab is a part of the <span class="plainlinks">'''[http://umiacs.umd.edu/ University of Maryland Institute for Advanced Computer Studies (UMIACS)]'''</span>, and it is  
* <span class="plainlinks">'''[http://www.cs.umd.edu/ Department of Computer Science]'''</span>
located in AV Williams 3146.  
* <span class="plainlinks"> '''[http://www.ling.umd.edu/ Department of Linguistics]'''</span>
* <span class="plainlinks">'''[http://ischool.umd.edu/ the iSchool]'''</span>
* <span class="plainlinks">'''[http://www.rhsmith.umd.edu/ Robert H. Smith School of Business]'''</span>.  


The group’s research covers most of the major areas of language research, including but not limited to speech recognition, handwriting and optical character recognition, multilingual text processing such as machine translation, and language data exploitation applications including document summarization, sense-making across structured data such as ontologies and thesauri, information retrieval, ranking and personalization, and sentiment analysis.
For further information about the CLIP Laboratory, feel free to contact its current director, '''[http://umiacs.umd.edu/~resnik/ Prof. Philip Resnik]'''.  


Natural language research focuses on several areas of broadscale multilingual processing, e.g., [[Research#Machine_Translation|machine translation]], [[Research#Summarization|summarization]], scalable translingual document detection, and cross-language information retrieval.


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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.
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.
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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Several language researchers in the CLIP lab are also affiliated with the <span class="plainlinks">'''[http://lamp.cfar.umd.edu/media.htm Language and Media Processing (LAMP) Laboratory]'''</span>.

Revision as of 21:36, 25 July 2017

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. With faculty, researchers, and students spanning the Department of Computer Science, the Department of Linguistics, the iSchool, and the 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.

We are part of the broader language science initiative 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 Language and Media Processing (LAMP) Laboratory and the Neural and Cognitive Systems (NACS) program.

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, machine translation, e-discovery, summarization, speech retrieval, cross-language information retrieval, ranking and personalization, computational social science NLP for mental health, data science for finance, data science for social good, and computational psycholinguistics.

The lab is a part of the University of Maryland Institute for Advanced Computer Studies (UMIACS), and it is located in AV Williams 3146.

For further information about the CLIP Laboratory, feel free to contact its current director, Prof. Philip Resnik.