Search Results for "word processor python"

Word segmentation utility for Thai language written in C

TeXML is an XML vocabulary for TeX. The processor transforms the TeXML markup into the TeX markup, escaping special and out-of-encoding characters. The intended audience is developers who automatically generate [La]TeX or ConTeXt files.

PDF-Shuffler is a small python-gtk application, which helps the user to merge or split pdf documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface. It is a frontend for python-pyPdf.

Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization,...

Software for improving typing speed. The user will type only the consonant of the words, and the software will work its way to find the desired word.

Multiple format bibliography processor in Python.

Puma-Pad is a notepad-like program written in python. Shouldnt your word processor have the power of a puma? Available for windows,linux,mac,bsd,etc. all that is required is that you have python installed. (currently working on making it so you dont need

The Contraction Converter is meant for people who write papers a lot and get deducted for having contractions. Run your file through this program and can't, etc. will be changed to the proper equivalent (ex. can not).

Wyneken is a content-oriented text processor that makes your life as a student easier by allowing you to create and manage digital notebooks. Wyneken also allows you to create PDF presentations, letters, articles, and reports. In 2015, Wyneken may or may not work with the latest Linux distributions, but you can use it for building pdfs by pulling our docker repo indicated in the homepage field of this site. The docker site has the information on how to invoke the container, which is...

a LaTeX formula converter to png images using a nice GTK gui

The aim of this project is to create a simple and effective word processor to handle Japanese typed in the form of ASCII letters.

This project is for any english literature usage. It checks spelling, repetition, and soon will check grammar. It has database manipulation so you can add/delete words to ignore for both repetition and spelling. It is mainly targetted for forums.

FictionVocabulary is a tool for counting words in text files. It uses vocabularies with word sets e.g. 1000 most useful words etc. Counting occurs through vocabularies, so word list consists only of words which are not represent in vocabularies

PyWord is a powerful and flexible text editor written in Python. It aims to be similar to other, existing editors (including emacs), but has several unique features as well.

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.

Roap scans a text file, extracts regions that matches specified patterns from it, and processes them with specified executables sequentially. Each executable reads the region as the stdin, and whole their stdouts are written out as the stdout of Roap

Unstructured text is no match for Litersta - see further details here: https://litersta.com Working with text now becomes effortless when paired with Litersta textual analytics software. Unlike database fields, which are easily queried, text contains unstructured data that must be parsed for key objects that can be transformed in to powerful metrics. Litersta - textual analytics - software leverages statistical algorithms to programmatically locate, and extract, overall document...