R/jiebaRD-package.r

#' A package for Chinese text segmentation
#'
#' 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.
#'
#' 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.
#'
#' @docType package
#' @name jiebaRD
#' @author Qin Wenfeng <\url{http://qinwenfeng.com}>
#' @references CppJieba \url{https://github.com/aszxqw/cppjieba};
#' @seealso JiebaR \url{https://github.com/qinwf/jiebaR};
#' @examples
#' library("jiebaRD")
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jiebaRD documentation built on May 2, 2019, 5:30 a.m.