Stanford NLP class
We began our work by supporting research at the University of Washington’s Turing Center related to our interest. This research produced a lexical database (TransGraph) designed to support panlingual translation, and a more powerful extension of it (PanDictionary) based on intelligent automated inference. After this work demonstrated the feasibility of the concept, we continued it, enlarging, enriching, and modifying the database, now named “PanLex”. Utilika Foundation
LINGQUEST | Graduate Tournament
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University of Washington Working Papers in Linguistics (UWWPL)
yohanboniface/sulci - GitHub
Job Search - CompLing Database
Welcome to the UW Linguistics Treehouse Wiki On this site, we will create a repository of information about topics relating to computational linguistics, computational linguistics at UW, and probably other things, too. In addition to this site, there is also a computational linguistics mailing list. If you want to be notified of comp ling events and discussions, subscribe to the list, too. WebHome < Main < TWiki
DARPA Shredder Challenge
Electrical Engineering and Computer Science | 6.041 Probabilistic Systems Analysis and Applied Probability, Spring 2006
QuarterlySchedule < Main < TWiki Recordings Recordings of Treehouse meetings are available here. This link isUWNetID protected and restricted to current patas users. If you believe you ought to have access but don't, please contact ebender-at-u.
Statistical NLP / corpus-based computational linguistics resources Contents Tools: Machine Translation, POS Taggers, NP chunking, Sequence models, Parsers, Semantic Parsers/SRL, NER, Coreference, Language models, Concordances, Summarization, Other Corpora: Large collections, Particular languages, Treebanks, Discourse, WSD, Literature, Acquisition
This page lists computational tools for doing linguistics. There is of course some overlap, but the emphasis is on using computation to do what ordinary linguists want to do, not on computational linguistics for its own sake. The page emphasizes free software that runs on Unix systems. The emphasis is on Unix for several reasons. First, that's what I myself use. Second, in my opinion Unix is the environment of choice for this kind of work. Computational Resources for Linguistic Research
This License Agreement (the "Agreement") is entered, effective this date, by and between University of Southern California, and the individual executing this Agreement below as "Licensee" (hereinafter, the "Licensee"). WHEREAS, USC has developed the Carmel package and related documentation (the "Software"); and WHEREAS, Licensee desires, and USC is willing to grant to Licensee, a license to use the Software in accordance with this Agreement; Carmel Download (License Agreement)
C Sharp (programming language) C♯ is intended to be a simple, modern, general-purpose, object-oriented programming language. Its development team is led by Anders Hejlsberg. The most recent version is C♯ 5.0, which was released on August 15, 2012. The ECMA standard lists these design goals for C#: Due to technical limitations of display (standard fonts, browsers, etc.) and the fact that the sharp symbol (U+266F ♯ music sharp sign (HTML: ♯)) is not present on the standard keyboard, the number sign (U+0023 # number sign (HTML: #)) was chosen to represent the sharp symbol in the written name of the programming language. This convention is reflected in the ECMA-334 C# Language Specification. However, when it is practical to do so (for example, in advertising or in box art), Microsoft uses the intended musical symbol.
Natural Language Toolkit
Python Scientific Lecture Notes — Scipy lecture notes
The Enthought Python Distribution provides scientists with a comprehensive set of tools to perform rigorous data analysis and visualization. Python Distribution :: Products :: Enthought, Inc.
The subprocess module provides a consistent interface to creating and working with additional processes. It offers a higher-level interface than some of the other available modules, and is intended to replace functions such as os.system(), os.spawn*(), os.popen*(), popen2.*() and commands.*(). To make it easier to compare subprocess with those other modules, many of the examples here re-create the ones used for os and popen. The subprocess module defines one class, Popen and a few wrapper functions that use that class. The constructor for Popen takes arguments to set up the new process so the parent can communicate with it via pipes. subprocess – Work with additional processes
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