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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”. We also began to make it accessible to researchers, developers, and users around the world. Our sponsorship of this work continued through 2011.
Utilika Foundation
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Version control software can be used on the cluster by using the dedicated subversion server, or by setting up a remote Git repository using ssh access.
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AdobeConnect recordings of Treehouse meetings are available here . This link is UWNetID 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 SGML/XML Dictionaries Lexical/morphological resources Courses, Syllabi, and other Educational Resources Mailing lists Other stuff on the Web : General , IR , IE/Wrappers , People , Societies
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
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C Sharp (programming language) - Wikipedia, the free encyclopedia
C Sharp Programming at Wikibooks C# [ note 1 ] (pronounced see sharp ) is a multi-paradigm programming language encompassing strong typing , imperative , declarative , functional , generic , object-oriented ( class-based ), and component-oriented programming disciplines. It was developed by Microsoft within its .NET initiative and later approved as a standard by Ecma (ECMA-334) and ISO (ISO/IEC 23270:2006). C# is one of the programming languages designed for the Common Language Infrastructure . C# is intended to be a simple, modern, general-purpose, object-oriented programming language. [ 6 ] Its development team is led by Anders Hejlsberg . The most recent version is C# 4.0 , which was released on April 12, 2010.
MonoDevelop - MonoDevelop
MonoDevelop is an IDE primarily designed for C# and other .NET languages. MonoDevelop enables developers to quickly write desktop and ASP.NET Web applications on Linux, Windows and Mac OSX. MonoDevelop makes it easy for developers to port .NET applications created with Visual Studio to Linux and to maintain a single code base for all platforms. MonoDevelop 2.6 RC1 has been released. This is a bug fix release which brings us closer to the final 2.6 release.
What is Visual Studio? Microsoft Visual Studio is a powerful IDE that ensures quality code throughout the entire application lifecycle, from design to deployment. Whether you’re developing applications for SharePoint, the web, Windows, Windows Phone, and beyond, Visual Studio is your ultimate all-in-one solution.
Visual Studio Home | Microsoft Visual Studio
python
Second release candidates for Python 2.6.8, 2.7.3, 3.1.5, and 3.2.3 released Another iteration of release candidates for Python 2.6.8 , 2.7.3 , 3.1.5 , and 3.2.3 have been released for testing. They include several security fixes. EuroPython 2012 will be in Florence, Italy, July 2nd-8th. The Call for Proposals is open until March, 18th.
Python Programming Language – Official Website
Natural Language Toolkit
Open source Python modules, linguistic data and documentation for research and development in natural language processing and text analytics, with distributions for Windows, Mac OSX and Linux. News - NLTK development has moved to GitHub [October 2011], Version 2.0.1rc1 released [April 2011], NLTK Cookbook by Jacob Perkins [December 2010], NLTK book in third printing [November 2010], Japanese translation of NLTK book published [November 2010] Courses - ~100 courses in 23 countries using NLTK (artificial intelligence, computational linguistics, information retrieval, machine learning) Donate!SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy , which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
SciPy -
This document Teaching material on the scientific Python ecosystem, a quick introduction to central tools and technics. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
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, distinguished by its flexibility, coherence, and ease-of-use, is rapidly becoming the programming language of choice for researchers worldwide. EPD extends this capacity with a powerful collection of Python libraries to enable interactive technical computing and cross-platform rapid application development. EPD contains over 100 libraries meticulously configured for maximum compatibility and efficiency. SciPy and NumPy are linked to MKL for fast linear algebra .
Python Distribution :: Products :: Enthought, Inc.
Computational Linguistics