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This project aims to build a suite of Natural Language Processing tools. Modules will include corpus indexing and access tools, a part-of-speech tagger, tokenisers, text classification software, etc.
GHIRL is the Graph-based Heterogeneous Information Representation Language: a java library for representing, querying, and navigating graph- or network-based data structures.
A collection of python scripts to create and handle an XML corpus (a large collection of text for linguistic purpose) from an original Wikipedia database backup dump. It includes a regular expression based parser for the MediaWiki markup language.
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...Unlike well known reading metrics such as Fog, Kincaid, SMOG, ARI, Flesch, and Coleman-Liau readability this metric takes into account far more factors and is standarized against a corpus
Kura is a complete, professional system for the handling of linguistic data, especially fieldwork data from small-corpus languages. It allows users to enter texts in any language and analyze those texts
reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.