CaboCha is a Japanese dependency analysis machine based on Support Vector Machines. It is (89.29%) system that accuracy is the highest as a statistical Japanese dependency analysis machine as of June, 2001. Moreover, definite analytical algorithm (Cascaded Chunking Model) that doesn't do back-track is adopted, and an efficient analysis can be done comparatively. This package is python module for CaboCha.
OS | Architecture | Version |
---|---|---|
NetBSD 10.0 | aarch64eb | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | aarch64eb | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | alpha | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | alpha | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | powerpc | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | powerpc | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | sparc64 | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | sparc64 | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | sparc | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | sparc | py27-cabocha-0.69nb1.tgz |
NetBSD 9.0 | alpha | py27-cabocha-0.69nb1.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69nb1.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69nb1.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69.tgz |
NetBSD 9.0 | powerpc | py27-cabocha-0.69nb1.tgz |
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