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Computational Linguistics and Information Processing

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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  
We are part of the broader <span class="plainlinks">[http://languagescience.umd.edu/ language science]</span> 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  
<span class="plainlinks">'''[https://nacs.umd.edu/ Neural and Cognitive Systems (NACS) program]'''</span>.  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">'''[https://nacs.umd.edu/ Neuroscience and Cognitive Science (NACS) program]'''</span>.  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  
located in AV Williams 3146.  
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!)  
CLIP research covers major areas of computational research on language, including (but not limited to!)  
deep learning,
deep learning,
human-in-the-loop machine learning,
human-in-the-loop machine learning,
multilingual text processing and low-resource languages,
multilingual text processing and low-resource languages,  
[[Research#Machine_Translation|machine translation]],
[[Research#Machine_Translation|machine translation]], and
[[Research#Summarization|summarization]],
computational psycholinguistics.
We also study
We also study
speech retrieval and
speech retrieval and
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NLP for mental health,
NLP for mental health,
data science for finance,
data science for finance,
data science for social good,
data science for social good and e-discovery.
computational psycholinguistics and e-discovery.


For further information about the CLIP Laboratory, feel free to contact its current director, '''[https://users.umiacs.umd.edu/~resnik/ Prof. Philip Resnik]'''.


 
If you're new to the lab, check out the '''[https://wiki.umiacs.umd.edu/clip/index.php/Getting_Started Getting Started Page]'''!
For further information about the CLIP Laboratory, feel free to contact its current director, '''[http://umiacs.umd.edu/~resnik/ Prof. Philip Resnik]'''.
 


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Latest revision as of 01:20, 15 October 2024

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 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 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 Neuroscience and Cognitive Science (NACS) program. The lab is a part of the University of Maryland Institute for Advanced Computer Studies (UMIACS), 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, machine translation, and computational psycholinguistics. We also study speech retrieval and cross-language information retrieval. Additional challenges include ranking and personalization, 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, Prof. Philip Resnik.

If you're new to the lab, check out the Getting Started Page!