Comments (2)
The Brown clustering algorithm doesn't lend itself well to this scenario. Exchange algorithm clustering would be better suited for this, since it's iterative. With ClusterCat you can do this using the --class-file
command-line flag.
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Thanks!
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Related Issues (15)
- A library for brown clustering? HOT 1
- Broken link to thesis HOT 2
- When size of data is large (over 100 MB), Brown-cluster program will be killed. How can I fix this error? HOT 2
- what are these results? HOT 1
- Is there any limit for the vocab size (#types)? HOT 5
- Running The code HOT 2
- what happened if length of text is bigger than INT_MAX ?
- Clustering perplexity measure
- basic/prob-utils.cc:8:37: error: ‘M_PI’ was not declared in this scope HOT 1
- How to choose optimized number of cluster for specific input corpus ?
- Question
- Problem compiling on Windows 7 HOT 8
- how Paths2map is used
- Speed up with compiler optimization HOT 1
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