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King Saud University Corpus of Classical Arabic (KSUCCA) is a pioneering 50 million tokens annotated corpus of Classical Arabic texts from the period of pre-Islamic era until the fourth Hijri century (equivalent to the period from the seventh until early eleventh century CE), which is the period of pure classical Arabic. The main aim of this corpus is to be used for studying the distributional lexical semantics of The Quran words. However, it can be used for other research purposes, such as: • Arabic linguistics, which includes: lexical, morphological, syntactic, semantic and pragmatic research. • Arabic computational linguistics, which includes: lexical, morphological, syntactic, semantic and pragmatic research including their various applications...

The main objective of the SmartHMA project is to develop and validate an open source operational platform architecture which implements a set of HMA standards in native Android client for access to EO Ground Segment data and services. The aim of the project is the development of a mobile application for discovery and distribution of EO data in the acceptable by tablet devices form and entirely based on OGC and HMA specifications.

Software for simple linguistic experiments. The BlackSquare is designed to test subject's abilities to connect expressions or notions according to a given rules. The main advantages of the BlackSquare are: 1) its variability; 2) minimalistic user interface (suitable also for a touch screen); 3) sounds as a part of your experiment; 4) unadorned and non-disturbing appearance.

Now available on Google Play at <https://play.google.com/store/apps/details?id=ca.farrelltonsolar.classic> The source code is now maintained on <https://github.com/graham22/Classic> Classic Monitor is a free status monitor for Midnite solar 's, Classic 150, 200, 250 Charge Controller. It is a Read Only Program, it does not write to the Classic. The software is provided "AS IS", WITHOUT WARRANTY OF ANY KIND, express or implied. Classic Monitor is NOT a product of Midnite solar,...

FFIS or Fast Fuzzy Inference System is a portable and optimized implementation of Fuzzy Inference Systems. It supports both Mamdani and Takagi-Sugeno methods. The main idea behind this tool, is to provide case-special techniques rather than general solutions to resolve complicated mathematical calculations. This will lead to have more efficient defuzzification algorithms for Mamdani's model. Most systems in Mamdani's model can be defuzzified in O(n²) or even O(n) time which n is number of membership functions in output.