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The UT Austin Computational Linguistics LabWebsite for the computational linguistics group at the University of Texas at Austin.
http://www.utcompling.com/
Website for the computational linguistics group at the University of Texas at Austin.
http://www.utcompling.com/
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The UT Austin Computational Linguistics Lab | utcompling.com Reviews
https://utcompling.com
Website for the computational linguistics group at the University of Texas at Austin.
S11 Natural Language Processing
S11 Natural Language Processing. 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. Posted Feb 8, 2011, 10:23 AM. Posted Feb 6, 2011, 12:24 PM. The semester has begun, a...
F11 Introduction to Computational Linguistics
F11 Introduction to Computational Linguistics. 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.
Data-Intensive Computing for Text Analysis: Fall'11
Data-Intensive Computing for Text Analysis: Fall'11. 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. Such text spans both traditional media (e.g. newspapers) and social media (e.g. blogs and microblogs). 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...
S11 Language and Computers
S11 Language and Computers. A funny take on spelling and grammar correctors. This is quite funny and well done, and very relevant to our section on spelling correction. Warning. Contains adult themes and content. Posted Apr 5, 2011, 10:09 AM. Navajo code talkers on XKCD. XKCD has a great entry that combines our discussion in the class on binary encodings and the Navajo code talkers! Posted Mar 13, 2011, 11:55 AM. Naive Bayes classification of wine reviews! Posted Feb 24, 2011, 9:06 AM. Showing posts 1 - 5.
S12 Applied Text Analysis
S12 Applied Text Analysis. Which will be used for homework assignments. Assignments will provide experience with the methods as well as experience with popular open source toolkits such as Apache OpenNLP and Mallet. No prior programming experience is assumed.
Gemma Boleda
In Montreal in 2012. Prescience about my former project. Photo by Jason Utt.). Department of Translation and Language Sciences. Roc Boronat building (Communication-Poblenou campus). Roc Boronat, 138. Phone: 34 93 542 2232. With funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154). 2 PhD students and 3 post-docs). I work as a tenure-track researcher ( Ramón y Cajal. I am interested in semantics, or how. Janua...
analyzing-linguistic-data.utcompling.com
Analyzing_Linguistic_Data
Spring 2012 Instructors: Colin Bannard. Tuesday, Thursday 11-12:30 PAR 10. Many areas of linguistics require statistical analysis: phonetics and phonology, psycholinguistics, computational linguistics, or empirical studies in syntax or semantics. Statistical analysis helps detect regularities in the numbers, test whether observed effects are statistically significant, and implement and test hypotheses about the data. Back to the UTCL website.
The TeXIT Project
This is the home page for the project TeXIT (Texas X-Lingual Interpretation of Texts). The broad goal of the project is to work on models and methods for multilingual text analysis. Our main emphasis is on models and applications for connecting language to places and times, with the ultimate goal of developing computational models of text meaning that are grounded in the real world. See the publications page. To learn more about the project's work.
Learning Grounded Models of Meaning
Learning Grounded Models of Meaning. In this seminar, we discuss different types of extra-linguistic data, and their use for the induction of grounded models of meaning.
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People - The UT Austin Computational Linguistics Lab
http://www.utcompling.com/people
The UT Austin Computational Linguistics Lab.
Newcomers - The UT Austin Computational Linguistics Lab
http://www.utcompling.com/program/newcomers
The UT Austin Computational Linguistics Lab. This page is intended as a starting point for new students and researchers to ensure they can get linked into the CL world at UT Austin quickly. Do you have suggestions for information to this page? Go ahead and add it yourself if you can, or send mail to Jason Baldridge. General information/discussion regarding computational linguistics among those interested in the topic at UT Austin. Forum for Artificial Intelligence. Reading and discussion groups. Please n...
Facilities - The UT Austin Computational Linguistics Lab
http://www.utcompling.com/facilities
The UT Austin Computational Linguistics Lab. We are in the brand-new Liberal Arts Building.
Courses - The UT Austin Computational Linguistics Lab
http://www.utcompling.com/courses
The UT Austin Computational Linguistics Lab. Current and upcoming courses. Please check faculty course pages:. Here are some of the computational linguistics courses offered at UT Austin previously. Grounded Models of Meaning. Introduction to Computational Linguistics. Data-Intensive Computing for Text Analysis. Linguistics, iSchool, and Computer Science. Introduction to Computational Linguistics. Word Meaning and Concepts. LIN 350 / CS 378. Linguistics and Computer Science. LIN 386 / CS 395T.
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Syllabus - Data-Intensive Computing for Text Analysis: Fall'11
http://dicta-f11.utcompling.com/syllabus
Data-Intensive Computing for Text Analysis: Fall'11. IF ONE SECTION IS FULL, PLEASE ENROLL IN ONE OF THE OTHERS). 52653 (CS), 28590 (INF), 40780 (LIN). Computer Science students can satisfy the same requirements toward graduation regardless of which section they enroll in. If the CS listing is full, enroll in one of the others and email csadmis@cs.utexas.edu. To request the CS major credit (August 22, 2011). Time, Place, and Instructors. 1208 (at the iSchool. Office hours: Mon 10-noon, Fri 9:30-10:30.
Further Reading - Data-Intensive Computing for Text Analysis: Fall'11
http://dicta-f11.utcompling.com/further
Data-Intensive Computing for Text Analysis: Fall'11. Chuck Lam, Hadoop In Action. 336 pages (December 2010). Lin, J. and Bahety, A. and Konda, S. and Mahindrakar, S. Low-latency, high-throughput access to static global resources within the Hadoop framework. University of Maryland HCIL Technical Report HCIL-2009-01, January 5, 2009. Hadoop Fatigue - Alternatives to Hadoop. Chu et al 2006, Map-Reduce for Machine Learning on Multicore. Jimmy Lin and friends. Proceedings of the 32nd Annual International ACM ...
Links - Data-Intensive Computing for Text Analysis: Fall'11
http://dicta-f11.utcompling.com/links
Data-Intensive Computing for Text Analysis: Fall'11. Suggestions for other links welcome! Austin Big Data User Group. Hadoop Computing at UT Austin. Site that describes how to use Hadoop on the Longhorn computer cluster at TACC. Site for students in the computational linguistics group to use our small in-house Hadoop cluster. Sept 26-30, 2011 in Austin. Automatic Task Re-organization in MapReduce. By Zhenhua Guo, Marlon Pierce, Geoffrey Fox, Mo Zhou (presented during classtime). To launch CDH3 on EC2).
Schedule - Data-Intensive Computing for Text Analysis: Fall'11
http://dicta-f11.utcompling.com/schedule
Data-Intensive Computing for Text Analysis: Fall'11. Written portions of assignments are due at the start of class (12:00pm) on their due date. Digital submissions (e.g. code, PDFs) are due by 11:00am on Blackboard (so that students show up to class on time). The schedule is subject to change, as the semester progresses, however any changes will be made at least one week in advance of the dates affected. Lin/Dyer Ch. 1, White Ch. 1. Slides: Computational Grounding of Texts in Real World Proxies. Lin/Dyer...
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Interesting talk on Monday: Geographic Context on the Web - S11 Natural Language Processing
http://nlp-s11.utcompling.com/course-notes/interestingtalkonmondaygeographiccontextontheweb
S11 Natural Language Processing. Interesting talk on Monday: Geographic Context on the Web. Posted Jan 28, 2011, 11:10 AM. Geographic Context on the Web" is Yahoo! As GPS-enabled devices become ubiquitous, online social platforms increasingly leverage location as an important aspect of our online social context. Web 2.0 platforms such as Foursquare, Flickr, Facebook and Twitter connect people to each other and to their surroundings. Vanessa Murdock of Yahoo! Monday, 1-2 pm. Main Building 1.208.
Jeopardy Challenge - S11 Natural Language Processing
http://nlp-s11.utcompling.com/course-notes/jeopardychallenge
S11 Natural Language Processing. Posted Feb 8, 2011, 10:22 AM. IBM has created Watson, a computer program that plays Jeopardy. It has been winning lots of rounds against actual human players, and now it will be playing the top Jeopardy players next week:. Http:/ online.wsj.com/article/SB10001424052748703439504576116163439390834.html. Http:/ www.usatoday.com/tech/news/2011-02-04-watson04 ST N.htm. Watson is a heavy-duty computational linguistics application, so this is quite an exciting event!
Spring semester starts! - S11 Natural Language Processing
http://nlp-s11.utcompling.com/course-notes/springsemesterstarts
S11 Natural Language Processing. Posted Jan 18, 2011, 9:49 AM. The semester has begun, and the course web page is now live, with syllabus and schedule prepared! I will use this announcement page to post items of interest to the course throughout the semester, so feel free to subscribe to it if you would like to receive updates as and when I make them.
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UT CommunityCare Clinics
The CommunityCare Clinic is a project of The University of Toledo College of Medicine. Find out when and where our upcoming clinics will be held. CCC would like to officially announce our brand new logo for our Student Organization! The CommunityCare Clinics provide comprehensive healthcare for those without insurance in Lucas and Wood counties. Our services are free, and everyone is welcome. Clinic Services ». Opportunities for Students ». Get Involved ».
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The UT Austin Computational Linguistics Lab
The UT Austin Computational Linguistics Lab. Welcome to the University of Texas at Austin Computational Linguistics Lab website. Computational Linguistics at UT Austin is an interdisciplinary field of study, with research being conducted primarily in the departments of Computer Sciences. Courses in Computational Linguistics. The graduate program in Computational Linguistics: Program of Study. Opportunities for student research: see the funded projects. Groups to join: see the groups.
U.T. Computer Educational And Welfare Society.
Like Us on Facebook. Give a miss call for any query. Admission Open for August-2015 click here to Get Form. By clicking on Submit, I allow us to call me and send program information on email/sms/phone. Welcome to U.T Computer Educational and Welfare Society. See our institute's Job Fair and workshop on behalf of MSME. View New Year celebration in this video. Posted on May 20, 2013. Lorem ipsum dolor sit amet, consectetur adipiscing. Exam running in classroom. Posted on April 20, 2013.
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