golang实现Unicode文本分段处理的插件库segmentUnicode Standard Annex #29的使用
Golang实现Unicode文本分段处理的插件库segment
segment是一个用于执行Unicode文本分段的Go库,遵循Unicode标准附件#29(Unicode Standard Annex #29)规范。
功能特性
- 目前仅支持在单词边界(Word Boundaries)进行分段
许可证
Apache License Version 2.0
使用方法
该功能通过两种方式提供:
1. 使用bufio.Scanner与SplitWords实现
package main
import (
"bufio"
"fmt"
"strings"
"github.com/blevesearch/segment"
)
func main() {
// 示例文本
text := "Hello, 世界!这是一个测试。"
// 创建Scanner
scanner := bufio.NewScanner(strings.NewReader(text))
// 设置分段函数
scanner.Split(segment.SplitWords)
// 扫描并处理每个token
for scanner.Scan() {
tokenBytes := scanner.Bytes()
fmt.Printf("Token: %s\n", string(tokenBytes))
}
// 检查错误
if err := scanner.Err(); err != nil {
fmt.Printf("Error: %v\n", err)
}
}
2. 使用Segmenter获取更多信息
package main
import (
"fmt"
"strings"
"github.com/blevesearch/segment"
)
func main() {
// 示例文本
text := "Hello, 世界!这是一个测试。"
// 创建Segmenter
segmenter := segment.NewWordSegmenter(strings.NewReader(text))
// 分段处理
for segmenter.Segment() {
tokenBytes := segmenter.Bytes()
tokenType := segmenter.Type()
fmt.Printf("Token: %s, Type: %v\n", string(tokenBytes), tokenType)
}
// 检查错误
if err := segmenter.Err(); err != nil {
fmt.Printf("Error: %v\n", err)
}
}
选择实现方式
默认情况下,segment不使用最快的运行时实现,因为这会使编译时间增加约5秒,并且可能需要编译机器上超过1GB的内存。
如果需要使用最快的运行时实现,可以通过以下构建标签:
go build -tags 'prod'
生成代码
该包中的几个组件是生成的:
- 从Unicode属性文件生成几个Ragel规则文件
- 从Ragel规则生成Ragel机器
- 从Unicode测试文件生成测试表
可以通过运行以下命令生成所有这些:
go generate
模糊测试
支持使用go-fuzz对segment库进行模糊测试:
- 安装go-fuzz:
go get github.com/dvyukov/go-fuzz/go-fuzz
go get github.com/dvyukov/go-fuzz/go-fuzz-build
- 使用go-fuzz构建包:
go-fuzz-build github.com/blevesearch/segment
- 将Unicode提供的测试用例转换为go-fuzz的初始语料库:
go test -v -run=TestGenerateWordSegmentFuzz -tags gofuzz_generate
- 运行go-fuzz:
go-fuzz -bin=segment-fuzz.zip -workdir=workdir
更多关于golang实现Unicode文本分段处理的插件库segmentUnicode Standard Annex #29的使用的实战教程也可以访问 https://www.itying.com/category-94-b0.html
更多关于golang实现Unicode文本分段处理的插件库segmentUnicode Standard Annex #29的使用的实战系列教程也可以访问 https://www.itying.com/category-94-b0.html
使用Golang实现Unicode文本分段处理
Unicode分段处理是根据Unicode标准附件#29(Unicode Standard Annex #29)定义的规则将文本分割为有意义的单元(如字素、单词、句子等)。在Go中,我们可以使用标准库和第三方库来实现这些功能。
1. 使用标准库实现基本分段
Go的标准库unicode
和unicode/utf8
提供了一些基础功能:
package main
import (
"fmt"
"unicode"
"unicode/utf8"
)
// 按Unicode字素簇分割文本
func SegmentGraphemes(text string) []string {
var segments []string
var currentCluster []rune
for _, r := range text {
if len(currentCluster) == 0 {
currentCluster = append(currentCluster, r)
continue
}
// 检查是否属于同一字素簇
if isSameGraphemeCluster(currentCluster[len(currentCluster)-1], r) {
currentCluster = append(currentCluster, r)
} else {
segments = append(segments, string(currentCluster))
currentCluster = []rune{r}
}
}
if len(currentCluster) > 0 {
segments = append(segments, string(currentCluster))
}
return segments
}
func isSameGraphemeCluster(prev, curr rune) bool {
// 简单实现 - 实际UAX#29规则更复杂
return unicode.IsMark(curr)
}
func main() {
text := "Hello, 世界! 👋🏽"
segments := SegmentGraphemes(text)
for i, seg := range segments {
fmt.Printf("Segment %d: %q (length %d)\n", i, seg, utf8.RuneCountInString(seg))
}
}
2. 使用第三方库
更完整的实现可以使用第三方库如github.com/rivo/uniseg
,它完全实现了UAX#29标准:
package main
import (
"fmt"
"github.com/rivo/uniseg"
)
func main() {
text := "Hello, 世界! 👋🏽"
// 字素簇分割
fmt.Println("Grapheme clusters:")
gr := uniseg.NewGraphemes(text)
for gr.Next() {
fmt.Printf("%q ", gr.Str())
}
fmt.Println()
// 单词分割
fmt.Println("\nWord boundaries:")
state := -1
var words []string
var currentWord []rune
for i, r := range text {
if i == 0 {
state, _ = uniseg.WordBreak(r)
}
newState, boundary := uniseg.WordBreak(r)
if boundary {
if len(currentWord) > 0 {
words = append(words, string(currentWord))
currentWord = nil
}
}
currentWord = append(currentWord, r)
state = newState
}
if len(currentWord) > 0 {
words = append(words, string(currentWord))
}
for i, word := range words {
fmt.Printf("Word %d: %q\n", i, word)
}
// 句子分割
fmt.Println("\nSentence boundaries:")
state = -1
var sentences []string
var currentSentence []rune
for i, r := range text {
if i == 0 {
state, _ = uniseg.SentenceBreak(r)
}
newState, boundary := uniseg.SentenceBreak(r)
if boundary {
if len(currentSentence) > 0 {
sentences = append(sentences, string(currentSentence))
currentSentence = nil
}
}
currentSentence = append(currentSentence, r)
state = newState
}
if len(currentSentence) > 0 {
sentences = append(sentences, string(currentSentence))
}
for i, sentence := range sentences {
fmt.Printf("Sentence %d: %q\n", i, sentence)
}
}
3. 实现自定义分段插件库
下面是一个简单的插件式分段库设计:
package segment
import (
"unicode"
)
// Segmenter 定义分段接口
type Segmenter interface {
Segment(text string) []string
}
// GraphemeSegmenter 实现字素簇分割
type GraphemeSegmenter struct{}
func (gs *GraphemeSegmenter) Segment(text string) []string {
var segments []string
var current []rune
for _, r := range text {
if len(current) == 0 {
current = append(current, r)
continue
}
last := current[len(current)-1]
if isSameGrapheme(last, r) {
current = append(current, r)
} else {
segments = append(segments, string(current))
current = []rune{r}
}
}
if len(current) > 0 {
segments = append(segments, string(current))
}
return segments
}
func isSameGrapheme(prev, curr rune) bool {
// 简化的字素簇判断逻辑
if unicode.IsMark(curr) {
return true
}
// 处理emoji变体选择器
if prev == 0xFE0F && curr == 0xFE0F {
return true
}
return false
}
// WordSegmenter 实现单词分割
type WordSegmenter struct{}
func (ws *WordSegmenter) Segment(text string) []string {
var words []string
var current []rune
var prevIsLetter bool
for _, r := range text {
isLetter := unicode.IsLetter(r)
if isLetter {
if !prevIsLetter && len(current) > 0 {
words = append(words, string(current))
current = nil
}
current = append(current, r)
} else {
if len(current) > 0 {
words = append(words, string(current))
current = nil
}
if !unicode.IsSpace(r) {
current = append(current, r)
}
}
prevIsLetter = isLetter
}
if len(current) > 0 {
words = append(words, string(current))
}
return words
}
// NewSegmenter 创建分段器
func NewSegmenter(segmentType string) Segmenter {
switch segmentType {
case "grapheme":
return &GraphemeSegmenter{}
case "word":
return &WordSegmenter{}
default:
return &GraphemeSegmenter{}
}
}
使用示例:
package main
import (
"fmt"
"yourmodule/segment"
)
func main() {
text := "Hello, 世界! 👋🏽"
// 使用字素分段器
graphemeSegmenter := segment.NewSegmenter("grapheme")
graphemes := graphemeSegmenter.Segment(text)
fmt.Println("Graphemes:", graphemes)
// 使用单词分段器
wordSegmenter := segment.NewSegmenter("word")
words := wordSegmenter.Segment(text)
fmt.Println("Words:", words)
}
4. 性能考虑
处理大量文本时,需要注意:
- 避免频繁的内存分配
- 使用
[]rune
而不是频繁的字符串操作 - 考虑并行处理大文本
func ParallelSegment(text string, segmenter Segmenter, workers int) []string {
// 将文本分割为块
chunks := splitText(text, workers)
results := make(chan []string, workers)
for _, chunk := range chunks {
go func(chunk string) {
results <- segmenter.Segment(chunk)
}(chunk)
}
// 合并结果
var allSegments []string
for i := 0; i < workers; i++ {
allSegments = append(allSegments, <-results...)
}
return allSegments
}
总结
Go语言提供了良好的Unicode支持,结合第三方库可以完全实现UAX#29标准。对于生产环境,推荐使用成熟的第三方库如uniseg
,它们经过了充分测试并完整实现了标准。自定义实现时,需要注意处理各种边界情况和组合字符。