jiebaRD: A package for Chinese text segmentation

In jiebaRD: Chinese Text Segmentation Data for jiebaR Package

Description

jiebaR is a package for Chinese text segmentation, keyword extraction and speech tagging. This package provides the data files required by jiebaR. jiebaR supports four types of segmentation mode: Maximum Probability, Hidden Markov Model, Query Segment and Mix Segment.

Details

You can use custom dictionary to be included in the jiebaR default dictionary. jiebaR can also identify new words, but adding your own new words will ensure a higher accuracy.

Author(s)

Qin Wenfeng <http://qinwenfeng.com>

References

CppJieba https://github.com/aszxqw/cppjieba;

See Also

JiebaR https://github.com/qinwf/jiebaR;

Examples

library("jiebaRD")

Example output

jiebaRD documentation built on May 2, 2019, 5:30 a.m.