This is a tool for the convenient export of query results (matches) from the ANNIS1 system for linguistic corpora.
It is meant as a supplement to the ANNIS web interface and focuses on file export (as opposed to visualization) of the results of an ANNIS query.
Note
Annimate is being developed by Matthias Stemmler in cooperation with the Lehrstuhl für Deutsche Sprachwissenschaft at the University of Augsburg.
It is based on the graphANNIS library by Thomas Krause.
Annimate can currently produce a CSV or an Excel file with one row per match, showing the matched nodes in their context in a KWIC (Key Word in Context) format as well as additional annotations of the matched nodes and metadata on the corpus and document levels. It is similar in functionality to a combination of the ANNIS TextColumnExporter and CSVExporter, but provides a friendlier user interface.
For a detailed explanation of how to work with Annimate, see the User Guide.
Annimate is available as a desktop application for Windows, Linux and macOS. The latest release can be downloaded through the links in the following table.
Important
Please read the Installation section of the User Guide before installing, especially on macOS.
| Operating system | Format | Installation required? | Automatic updates | Download link |
|---|---|---|---|---|
| Windows | Installer | ✅ | ✅ | Annimate_1.3.3_x64-setup.exe |
| Linux | AppImage | ❌ | ✅ | Annimate_1.3.3_amd64.AppImage |
| Linux | Debian package | ✅ | ❌ | Annimate_1.3.3_amd64.deb |
| macOS (silicon) | App Bundle | ✅ | ✅ | Annimate_aarch64.app.tar.gz |
| macOS (Intel) | App Bundle | ✅ | ✅ | Annimate_x64.app.tar.gz |
For a list of previous releases, see the releases page.
If you have any kind of feedback on Annimate such as a bug report, documentation issue or idea for a new feature, please create an issue.
See CHANGELOG.md
Licensed under the Apache License, Version 2.0 (see LICENSE or https://www.apache.org/licenses/LICENSE-2.0)
Footnotes
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Krause, Thomas & Zeldes, Amir (2016): ANNIS3: A new architecture for generic corpus query and visualization. in: Digital Scholarship in the Humanities 2016 (31). https://dsh.oxfordjournals.org/content/31/1/118 ↩