Struct jieba_rs::Jieba

pub struct Jieba { /* fields omitted */ }

Jieba segmentation

Methods

impl Jieba

pub fn empty() -> Self

Create a new instance with empty dict

pub fn new() -> Self

Create a new instance with embed dict

pub fn with_dict<R: BufRead>(dict: &mut R) -> Result<Self>

Create a new instance with dict

pub fn add_word(     &mut self,     word: &str,     freq: Option<usize>,     tag: Option<&str> ) -> usize

Add word to dict, return freq

freq: if None, will be given by suggest_freq

tag: if None, will be given ""

pub fn load_dict<R: BufRead>(&mut self, dict: &mut R) -> Result<()>

Load dictionary

pub fn suggest_freq(&self, segment: &str) -> usize

Suggest word frequency to force the characters in a word to be joined or splitted.

Important traits for Vec<u8>

impl Write for Vec<u8>

pub fn cut<'a>(&self, sentence: &'a str, hmm: bool) -> Vec<&'a str>

Cut the input text

Params

sentence: input text

hmm: enable HMM or not

Important traits for Vec<u8>

impl Write for Vec<u8>

pub fn cut_all<'a>(&self, sentence: &'a str) -> Vec<&'a str>

Cut the input text, return all possible words

Params

sentence: input text

Important traits for Vec<u8>

impl Write for Vec<u8>

pub fn cut_for_search<'a>(&self, sentence: &'a str, hmm: bool) -> Vec<&'a str>

Cut the input text in search mode

Params

sentence: input text

hmm: enable HMM or not

Important traits for Vec<u8>

impl Write for Vec<u8>

pub fn tokenize<'a>(     &self,     sentence: &'a str,     mode: TokenizeMode,     hmm: bool ) -> Vec<Token<'a>>

Tokenize

Params

sentence: input text

mode: tokenize mode

hmm: enable HMM or not

Important traits for Vec<u8>

impl Write for Vec<u8>

pub fn tag<'a>(&'a self, sentence: &'a str, hmm: bool) -> Vec<Tag<'a>>

Tag the input text

Params

sentence: input text

hmm: enable HMM or not

Trait Implementations

impl Debug for Jieba

fn fmt(&self, f: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Default for Jieba

fn default() -> Self

Returns the "default value" for a type.