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 | earmv4 | py27-cabocha-0.69nb1.tgz |
NetBSD 10.0 | earmv4 | 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 | 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 | 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 |
Binary packages can be installed with the high-level tool pkgin (which can be installed with pkg_add) or pkg_add(1) (installed by default). The NetBSD packages collection is also designed to permit easy installation from source.
The pkg_admin audit command locates any installed package which has been mentioned in security advisories as having vulnerabilities.
Please note the vulnerabilities database might not be fully accurate, and not every bug is exploitable with every configuration.
Problem reports, updates or suggestions for this package should be reported with send-pr.