TAPoR 3 Discover research tools for studying texts.

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Apache UIMA

Apache UIMA (Unstructured Information Management application) is a software system for analyzing large amounts of unstructured data, such as a plain text document, and identifying entities, such as persons, places, organizations, or relations between entities. Discrete components (written in Java or C++) may be used within the application, such as language identification or entitiy detection. Each component provides self-describing metadata via XML descriptor files.

Mallet

Mallet is a Java based library and command line framework that provides statistical and machine learning tools for use with natural language processing.

Meandre

Meandre is a graphical programming language for creating text analysis flows, built on top of the Seasr infrastructure. Meandre uploads its flows to a Seasr server where they can be accessed and used by anyone who can access the server.

McGill Characterization Process - Character Parser
Part of the McGill Characterization Process family. Parses all the texts in a data directory and picks out all the characters and their aliases. Output is in JSON format and is required for the rest of the tools in this family. Extensive setup required. Please consult the readme on github for setup instructions.
McGill Characterization Process - Alias Identifier
Part of the McGill Characterization Process family. Examines all the texts in a data directory and uses the output from the Character Parser to pick out all the aliases for the characters in the aforementioned texts. Output is in JSON format and is required for the rest of the tools in this family. Extensive setup required. Please consult the readme on github for setup instructions.
McGill Characterization Process - Calculate Character Centrality
Part of the McGill Characterization Process family. Examines all the texts in a data directory, and using the analysis already done by the Collocate Parser, Alias Identifier, and Character Parser, gives data for the centrality of characters for each text, allowing the texts to be ranked against each other based on this. Extensive setup required. Please consult the readme on github for setup instructions.