Juxta is an open-source tool for comparing and collating multiple witnesses to a single textual work. Originally designed to aid scholars and editors examine the history of a text from manuscript to print versions, Juxta offers a number of possibilities for humanities computing and textual scholarship.
MALLET (MAchine Learning for LanguagE Toolkit) is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
The Text Encoding Initiative (TEI) is a consortiumthat develops and maintains a standard for the representation of texts in digital form. Its chief deliverable is a set of Guidelines (since 1994) that specify encoding methods for machine-readable texts, chiefly in the humanities, social sciences and linguistics.
WordSeer is a text analysis environment that combines visualization, information retrieval, sense-making, and and natural language processing to make the contents of text navigable, accessible, and useful.
Omeka.net is web-publishing platform that allows anyone to create or collaborate on a website to display collections and build digital exhibitions. Neatline is Omeka's timeline/mapping plugin available in omeka.org installations only.