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How to philosophize with internetworked electronic computing machinery
Toward A Philosophy Of Computing begins as a dissertation proposal in Texts and Technology at the University of Central Florida that explores doing philosophy by programming. See the project wiki for the proposal.
DeSR is a multilingual statistical dependency parser. It produces dependency parse trees for natural language sentences using a parsing model learned from annotated corpora.
The MaxParser is written in c++ and can parse with first, second, third and fourth order projective Graph-based Dependency parsing algorithm. The project is the new version of the project "Max-MSTParser".
If you want to use this software for research, please reference this web address in your papers
OmniHelp is a cross-platform, browser-independent, tri-pane help viewer built in pure JavaScript and CSS with HTML 4. Some functions (such as help embedding) may in the future be in Java, C, or C++; CSH is fully supported. All code is under the LGPL.
This is an attempt to write a CPU emulator in Trolltech QT 4.4. Basic Functionality: - 8 bit registers - Self-composed instructoin set (in progress) - Data and Assembler Editor / parser (not started) - Text and graphical input / output (not started
C Ansi Code to allow developers to use a Web Browser as GUI for a console program, it write on a socket html widgets and read user choice through FORM SUBMIT. It include a little web server. Very compact as Html managment consist in 2 modules
Casper, Cascading Parser, is a unification-based natural language parsing library. It uses a syntax based on Lexical Functional Grammar, and is developed in C++. Requires Libxml and STL.
TacitPixel is a scalable C++ framework for building application prototypes for interactive collaborative VR/AR applications. It provides a number of features that make prototyping fast and portable.
TacitPixel is the successor of the TAP and Twisted Pair engines.
This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net