Thanks to Hristo Tanev for compiling a preliminary list and emailing the Corpora List.
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MAE (Multi-purpose Annotation Environment) is an annotation tool created by Amber Stubbs (http://amberstubbs.net) for Brandeis University for use in her dissertation research. It is a lightweight program written in Java, with a MySQLite database back end (SQLiteJDBC driver created by David Crawshaw (http://www.zentus.com/sqlitejdbc/)).
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- Recommended by: Anil Singh
- Last updated: 2012-09-01
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- Recommended by: Sara Tonelli
- Unclear what it looks like, whether it's web-based, Java, or what
- Not open source / behind extensive login form
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- Unclear how this works; appears to be some mixture of Python, Java, and online
- No demo / screenshots
- Recommended by: Craig Pfeifer
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FLAT: FoLiA Linguistic Annotation Tool
- Recommended by: Ali Hurriyetoglu
- Uses Python with Django / CherryPy
- Looks like it's a jQuery-UI heavy interface (moar rounded corners!)
- Uses the XML-based FoLiA format
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As one of the authors of the tool, I would like to suggest you Egas, a web-based platform for biomedical text mining and collaborative curation, supporting manual and automatic annotation of concepts and relations.
- Author: David Campos
- Recommended by: David Campos
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The CrowdTruth Framework implements an approach to machine-human computing for collecting annotation data on text, images, sounds and videos.
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PYBOSSA is the ultimate crowdsourcing framework to analyze or enrich data that can't be processed by machines alone.
- Inspired by Bossa, which is "an open-source software framework for distributed thinking" built with PHP.
To the extent possible under law, Christopher Brown has waived all copyright and related or neighboring rights to this work.