Search Results for "python text parser" - Page 5

Latex editor with document structure tree view and project handling. Latex output allows direct jump to warnings/errors. Projects folders gives support for figures/graphs. Editor component includes usual features like search/replace and syntax highlight.

This project presents a functional prototype of a new kind of file manager, where the data is auto organized using the semantic content. The Souvenirs system propose a new complete interface for the user and pretend to remplace the "desktop" paradigm.

Latex2slides is a simple graphical program that produces a set of HTML/JPEG slides from a TeX or LaTeX source. Each Postscript page is converted to a JPEG image using ImageMagick's convert. The program then makes one HTML page for each JPEG (or slide), a

Queequeg is an English grammar checker for non-native English speakers.

A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.

JReferences is a tool to store and retrieve bibliographic references from a file or MySQL database. It reads BibTeXML, DocBook XML and RIS type references, and can output these and BibTex. A bibtex like alternative is also provided for DocBook XML docu

A TextMap module for Python. The TextMap class can be used to emulate oldfashioned computer screens. It will have methods like writexy(x,y,text), input = readxy(x,y,text), clear(), scroll(x,y), change(coloroptions), settext(text), input = gettext()

SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.

TeXPerfect plans to be a cross-platform, extensible, user-friendly yet expert-tunable visual TeX implementation. The most important feature will be a split screen (inspired by WordPerfect(R) Reveal Codes) showing the underlying TeX code.

... to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip

The main idea behind this project is the use of a common text to enclose a message by manipulating the structure of the semantic tree of each phrase in the text.

A script to generate random text using Markov chains. Output text will be stylistically similar to the training text.