Search Results for "arabic text analysis"

Dawarich is a command-line tool (likely Ruby-based) for transforming and analyzing Arabic text data with normalization, diacritic handling, segmentation, and morphological tokenization. Designed for text mining and NLP workflows in Arabic-language contexts.

VirtualX is an open source online examination system and can be used across organization types such as Colleges/Universities, Schools etc. This tool allows Administrators, Examiners, and Question Setters to add/edit/delete questions and schedule tests, quizzes, exams and generate reports. Some of the key features of this tool are Role based security among different question setters, schedule exams for examinees and send email with login details, managing questions of 11 different types...

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are...

AdLint is a source code static analyzer. It can point out insecure or nonportable code fragments, and can measure various quality metrics of the source code. It (currently) can analyze source code compliant with ANSI C89 / ISO C90 and partly ISO C99. AdLint is written in Ruby. So, it is available for Windows, Mac OS X, GNU/Linux, FreeBSD and any other platforms supported by Ruby.

A collection of open source libraries and tools that provide solutions for common problems in processing Arabic text, especially in web applications. text normalization, phrase segmentation, text indexing, stop word lists, common spelling mistakes.

Rubyturgy is designed to help students perform textual analysis on publicly available texts. It is intended to mimic Unix text utility functionality, while providing more useful representations of data for students of literature.