lunr-chinese

Lunr addon, do words segment with nodejieba locally.

Description

Build based on lunr v0.72 and nodejieba, add chinese tokenize and search available to lunr.

The lib not use the lunr v2+ is for the lunr v2+ changes the tokenize method mainly, and which is an improve of the performance for English only, not suitable for Chinese.

new method lunr.init(idx, data, path)

return lunr instance with generated lunr index lunr.init(generatedIndex)
return lunr instance with lunr.init(idx, data(array))
generate lunr index into file lunr.init(idx, data(array), path)

search with lunrInstance.search('例子')

Install

npm i lunr-chinese --save-dev

For front-end use the build file lunr-chinese, lunr-chinese.min.js in the project, which will return the lunr instance for use.

Usage

const lunr = require('lunr-chinese')()
 
let idx = lunr(function() {
  this.ref('id')
 
  this.field('title', { boost: 10 })
  this.field('categories')
  this.field('body')
})
 
const postContents = contents.map(content => idx.add(content))
 
// get the Lunr instance(use locally)
const lunrCn = lunr.init(idx, postContents)
lunrCn.search('例子')
 
// generate the Lunr Index file
lunr.init(idx, postContents, 'path/lunrCnIndexs.json')

Load and work with generated index file.

// load `lunr` from lunr-chinese.js
 
var lunrCnIndexs = JSON.parse(lunrCnIndexsString)
var chineseLunr = lunr.init(lunrCnIndexs)
 
chineseLunr.search('例子')

To use custom dictionary like this

const lunr = require('lunr-chinese')({
  dict: nodejieba.DEFAULT_DICT,
  hmmDict: nodejieba.DEFAULT_HMM_DICT,
  userDict: './test/testdata/userdict.utf8',
  idfDict: nodejieba.DEFAULT_IDF_DICT,
  stopWordDict: nodejieba.DEFAULT_STOP_WORD_DICT,
  method: 'cutForSearch' //optional [default is `cut`] (call the specific method for `nodejieba`)
});

Method values

'小明硕士毕业于中国科学院计算所'

• cut: [ '小明', '硕士', '毕业', '于', '中国科学院', '计算所' ]
• cutAll: [ '小', '明', '硕士', '毕业', '于', '中国', '中国科学院', '科学', '科学院', '学院', '计算', '计算所' ]
• cutHMM: [ '小明', '硕士', '毕业于', '中国', '科学院', '计算', '所' ]
• cutForSearch: [ '小明', '硕士', '毕业', '于', '中国', '科学', '学院', '科学院', '中国科学院', '计算', '计算所' ]
• cutSmall: [ '小', '明', '硕', '士', '毕', '业', '于', '中', '国', '科', '学', '院', '计', '算', '所' ]

examples

an example of the custom doc file

抹茶 n
星冰乐 n
拿铁 n

for more details check CppJieba 字典