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Provides a basic interface for accessing annotation data from the Multi-CAST collection, a database of spoken natural language texts edited by Geoffrey Haig and Stefan Schnell. The collection draws from a diverse set of languages and has been annotated across multiple levels. Annotation data is downloaded on request from the servers of the University of Bamberg. See the Multi-CAST website <https://multicast.aspra.uni-bamberg.de/> for more information and a list of related publications.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.0.0) |
| Published: | 2021-02-22 |
| DOI: | 10.32614/CRAN.package.multicastR |
| Author: | Nils Norman Schiborr [aut, cre] |
| Maintainer: | Nils Norman Schiborr <nils-norman.schiborr at uni-bamberg.de> |
| License: | CC BY 4.0 |
| URL: | https://multicast.aspra.uni-bamberg.de/ |
| NeedsCompilation: | no |
| Citation: | multicastR citation info |
| Materials: | README NEWS |
| CRAN checks: | multicastR results |
| Reference manual: | multicastR.pdf |
| Package source: | multicastR_2.0.0.tar.gz |
| Windows binaries: | r-devel: multicastR_2.0.0.zip, r-release: multicastR_2.0.0.zip, r-oldrel: multicastR_2.0.0.zip |
| macOS binaries: | r-release (arm64): multicastR_2.0.0.tgz, r-oldrel (arm64): multicastR_2.0.0.tgz, r-release (x86_64): multicastR_2.0.0.tgz, r-oldrel (x86_64): multicastR_2.0.0.tgz |
| Old sources: | multicastR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.