From 16929faf576212a81c34da74b6bea65b1f41cba9 Mon Sep 17 00:00:00 2001 From: Wang Bin Date: Wed, 18 Mar 2015 17:31:41 +0800 Subject: [PATCH] removed old tokenize module, updated README --- README.md | 255 +++++++++--- tokenize.go | 37 -- tokenize_test.go | 390 ------------------ {analyse/tokenizers => tokenizers}/jieba.go | 0 .../tokenizers => tokenizers}/jieba_test.go | 8 +- 5 files changed, 213 insertions(+), 477 deletions(-) delete mode 100644 tokenize.go delete mode 100644 tokenize_test.go rename {analyse/tokenizers => tokenizers}/jieba.go (100%) rename {analyse/tokenizers => tokenizers}/jieba_test.go (99%) diff --git a/README.md b/README.md index 48489d5..ade962f 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,18 @@ -结巴分词Go版 jiebago -=================== +#结巴分词 Go 语言版：jiebago + [![Build Status](https://travis-ci.org/wangbin/jiebago.png?branch=master)](https://travis-ci.org/wangbin/jiebago) [结巴分词](https://github.com/fxsjy/jieba)是[@fxsjy](https://github.com/fxsjy)用Python编写的中文分词组件，jiebago是结巴分词的Go语言实现，目前已经实现的功能包括：三种模式分词、自定义词典、关键词提取和词性标注。 -安装 -===== +## 安装 - go get github.com/wangbin/jiebago + + go get github.com/wangbin/jiebago/... -分词 -===== +## 分词 + package main @@ -53,8 +53,8 @@ 【搜索引擎模式】：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 / ， / 后 / 在 / 日本 / 京都 / 大学 / 日本京都大学 / 深造 / -添加自定义词典 -============= +## 添加自定义词典 + var sentence = "李小福是创新办主任也是云计算方面的专家" fmt.Print("Before: ") @@ -69,12 +69,7 @@ After: 李小福 / 是 / 创新办 / 主任 / 也 / 是 / 云计算 / 方面 / 的 / 专家 / -关键词提取 -======== - -需要先安装analyse模块： - - go get github.com/wangbin/jiebago/analyse +## 关键词提取 示例代码： @@ -133,12 +128,7 @@ 全资 0.306324 商业 0.306138 -词性标注 -======= - -需要先安装posseg模块： - - go get github.com/wangbin/jiebago/posseg +## 词性标注 示例代码： @@ -166,8 +156,8 @@ 北京 ns 天安门 ns -并行分词 -======= + +## 并行分词 因为Go有强大的goroutine特性，并行分词实现起来非常简单，所以并没有内置到jiebaogo中，而是由使用者自己实现，下面是一个简单的例子： @@ -207,40 +197,213 @@ writer.Flush() -Tokenize -========= +## Tokenize：返回词语在原文的起始位置 - var sentence = "永和服装饰品有限公司" - // 默认模式 - for _, token := range jiebago.Tokenize(sentence, "default", true) { - fmt.Printf("word %s\t\t start: %d \t\t end:%d\n", token.Word, token.Start, token.End) + +注意新版的 Jiebago Tokenizer 实现了 Bleve 的 Tokenizer 接口，跟之前的实现有很大的变化： + +1. 接受的参数必须是 []byte。 +2. 输出的 Token 的起始和终止位置是 byte 的位置，不是之前的 rune 的位置，所以和 Python 版的 Jieba.tokenize 输出不一致。 + +``` +package main + +import ( + "fmt" + "github.com/wangbin/jiebago/tokenizers" +) + +const DictPath = "/path/to/dict.txt" + +var sentence = []byte("永和服装饰品有限公司") + +func main() { + // default mode + tokenizer, _ := tokenizers.NewJiebaTokenizer(DictPath, true, false) for _, token := range tokenizer.Tokenize(sentence) { + fmt.Printf( + "Term: %s\t Start: %d \t End: %d\t Position: %d\t Type: %d\n", + token.Term, token.Start, token.End, token.Position, token.Type) } - // 搜索模式 - for _, token := range jiebago.Tokenize(sentence, "search", true) { - fmt.Printf("word %s\t\t start: %d \t\t end:%d\n", token.Word, token.Start, token.End) + + //search mode + tokenizer, _ = tokenizers.NewJiebaTokenizer(DictPath, true, true) + for _, token := range tokenizer.Tokenize(sentence) { + fmt.Printf( + "Term: %s\t Start: %d \t End: %d\t Position: %d\t Type: %d\n", + token.Term, token.Start, token.End, token.Position, token.Type) } +} + +``` +默认模式输出： + +``` +Term: 永和 Start: 0 End: 6 Position: 1 Type: 1 +Term: 服装 Start: 6 End: 12 Position: 2 Type: 1 +Term: 饰品 Start: 12 End: 18 Position: 3 Type: 1 +Term: 有限公司 Start: 18 End: 30 Position: 4 Type: 1 +``` +搜索模式输出： + +``` +Term: 永和 Start: 0 End: 6 Position: 1 Type: 1 +Term: 服装 Start: 6 End: 12 Position: 2 Type: 1 +Term: 饰品 Start: 12 End: 18 Position: 3 Type: 1 +Term: 有限 Start: 18 End: 24 Position: 4 Type: 1 +Term: 公司 Start: 24 End: 30 Position: 5 Type: 1 +Term: 有限公司 Start: 18 End: 30 Position: 6 Type: 1 +``` +### 配合 bleve 进行中文全文检索 + +[bleve](http://www.blevesearch.com/) 是一个 Go 语言实现的全文索引系统，jiebago 可以配合 bleve 使用实现中文的全文检索。一个简单的用法示例： + +``` +package main + +import ( + "fmt" + "github.com/blevesearch/bleve" + _ "github.com/wangbin/jiebago/analyse/tokenizers" + "log" +) + +func main() { + // open a new index + indexMapping := bleve.NewIndexMapping() + + err := indexMapping.AddCustomTokenizer("jieba", + map[string]interface{}{ + "file": "/Users/wangbin/mygo/src/github.com/wangbin/jiebago/dict.txt", + "type": "jieba", + }) + if err != nil { + log.Fatal(err) + } + + err = indexMapping.AddCustomAnalyzer("jieba", + map[string]interface{}{ + "type": "custom", + "tokenizer": "jieba", + "token_filters": []string{ + "possessive_en", + "to_lower", + "stop_en", + }, + }) + + if err != nil { + log.Fatal(err) + } + + indexMapping.DefaultAnalyzer = "jieba" + + index, err := bleve.New("example.bleve", indexMapping) + + if err != nil { + log.Fatal(err) + } + + indexMapping.DefaultAnalyzer = "jieba" + + index, err := bleve.New("example.bleve", indexMapping) + + if err != nil { + log.Fatal(err) + } + + docs := []struct { + Title string + Name string + }{ + { + Title: "Doc 1", + Name: "This is the first document we’ve added", + }, + { + Title: "Doc 2", + Name: "The second one 你 中文测试中文 is even more interesting! 吃水果", + }, + { + Title: "Doc 3", + Name: "买水果然后来世博园。", + }, + { + Title: "Doc 4", + Name: "工信处女干事每月经过下属科室都要亲口交代24口交换机等技术性器件的安装工作", + }, + { + Title: "Doc 5", + Name: "咱俩交换一下吧。", + }, + } + // index docs + for _, doc := range docs { + index.Index(doc.Title, doc) + } + + // search for some text + for _, keyword := range []string{"水果世博园", "你", "first", "中文", "交换机", "交换"} { + query := bleve.NewMatchQuery(keyword) + search := bleve.NewSearchRequest(query) + search.Highlight = bleve.NewHighlight() + searchResults, err := index.Search(search) + if err != nil { + log.Fatal(err) + } + fmt.Printf("Result of %s: %s\n", keyword, searchResults) + } +} +``` 输出结果： - word 永和 start: 0 end:2 - word 服装 start: 2 end:4 - word 饰品 start: 4 end:6 - word 有限公司 start: 6 end:10 +``` +Result of 水果世博园: 2 matches, showing 1 through 2, took 377.988µs + 1. Doc 3 (1.099550) + Name + 买水果然后来世博园。 + 2. Doc 2 (0.031941) + Name + The second one 你 中文测试中文 is even more interesting! 吃水果 - word 永和 start: 0 end:2 - word 服装 start: 0 end:2 - word 饰品 start: 0 end:2 - word 有限 start: 0 end:2 - word 公司 start: 2 end:4 - word 有限公司 start: 0 end:4 +Result of 你: 1 matches, showing 1 through 1, took 103.367µs + 1. Doc 2 (0.391161) + Name + The second one 你 中文测试中文 is even more interesting! 吃水果 -分词速度 -======= +Result of first: 1 matches, showing 1 through 1, took 373.317µs + 1. Doc 1 (0.512150) + Name + This is the first document we’ve added + +Result of 中文: 1 matches, showing 1 through 1, took 106.433µs + 1. Doc 2 (0.553186) + Name + The second one 你 中文测试中文 is even more interesting! 吃水果 + +Result of 交换机: 2 matches, showing 1 through 2, took 188.235µs + 1. Doc 4 (0.608495) + Name + 工信处女干事每月经过下属科室都要亲口交代24口交换机等技术性器件的安装工作 + 2. Doc 5 (0.086700) + Name + 咱俩交换一下吧。 + +Result of 交换: 2 matches, showing 1 through 2, took 148.822µs + 1. Doc 5 (0.534158) + Name + 咱俩交换一下吧。 + 2. Doc 4 (0.296297) + Name + 工信处女干事每月经过下属科室都要亲口交代24口交换机等技术性器件的安装工作 +``` + +## 分词速度 - 2MB / Second in Full Mode - 700KB / Second in Default Mode - Test Env: AMD Phenom(tm) II X6 1055T CPU @ 2.8GHz; 《金庸全集》 -许可证 -====== +## 许可证 + MIT: http://wangbin.mit-license.org diff --git a/tokenize.go b/tokenize.go deleted file mode 100644 index 3765207..0000000 --- a/tokenize.go +++ /dev/null @@ -1,37 +0,0 @@ -package jiebago - -type token struct { - Word string - Start int - End int -} - -// Return words with position. -func Tokenize(sentence string, mode string, HMM bool) []token { - tokens := make([]token, 0) - start := 0 - var width int - for word := range Cut(sentence, false, HMM) { - if mode == "default" { - width = len([]rune(word)) - tokens = append(tokens, token{word, start, start + width}) - start += width - - } else { - runes := []rune(word) - width = len(runes) - for _, step := range []int{2, 3} { - if width > step { - for i := 0; i < width-step+1; i++ { - gram := string(runes[i : i+step]) - if _, ok := Trie.Freq[gram]; ok { - tokens = append(tokens, token{gram, start + i, start + i + step}) - } - } - } - } - tokens = append(tokens, token{word, start, start + width}) - } - } - return tokens -} diff --git a/tokenize_test.go b/tokenize_test.go deleted file mode 100644 index a088bbd..0000000 --- a/tokenize_test.go +++ /dev/null @@ -1,390 +0,0 @@ -package jiebago - -import "testing" - -var ( - result = [][]token{ - []token{token{"\u8fd9\u662f", 0, 2}, token{"\u4e00\u4e2a", 2, 4}, token{"\u4f38\u624b\u4e0d\u89c1\u4e94\u6307", 4, 10}, token{"\u7684", 10, 11}, token{"\u9ed1\u591c", 11, 13}, token{"\u3002", 13, 14}, token{"\u6211", 14, 15}, token{"\u53eb", 15, 16}, token{"\u5b59\u609f\u7a7a", 16, 19}, token{"\uff0c", 19, 20}, token{"\u6211", 20, 21}, token{"\u7231", 21, 22}, token{"\u5317\u4eac", 22, 24}, token{"\uff0c", 24, 25}, token{"\u6211", 25, 26}, token{"\u7231", 26, 27}, token{"Python", 27, 33}, token{"\u548c", 33, 34}, token{"C++", 34, 37}, token{"\u3002", 37, 38}}, - []token{token{"\u6211", 0, 1}, token{"\u4e0d", 1, 2}, token{"\u559c\u6b22", 2, 4}, token{"\u65e5\u672c", 4, 6}, token{"\u548c\u670d", 6, 8}, token{"\u3002", 8, 9}}, - []token{token{"\u96f7\u7334", 0, 2}, token{"\u56de\u5f52", 2, 4}, token{"\u4eba\u95f4", 4, 6}, token{"\u3002", 6, 7}}, - []token{token{"\u5de5\u4fe1\u5904", 0, 3}, token{"\u5973\u5e72\u4e8b", 3, 6}, token{"\u6bcf\u6708", 6, 8}, token{"\u7ecf\u8fc7", 8, 10}, token{"\u4e0b\u5c5e", 10, 12}, token{"\u79d1\u5ba4", 12, 14}, token{"\u90fd", 14, 15}, token{"\u8981", 15, 16}, token{"\u4eb2\u53e3", 16, 18}, token{"\u4ea4\u4ee3", 18, 20}, token{"24", 20, 22}, token{"\u53e3", 22, 23}, token{"\u4ea4\u6362\u673a", 23, 26}, token{"\u7b49", 26, 27}, token{"\u6280\u672f\u6027", 27, 30}, token{"\u5668\u4ef6", 30, 32}, token{"\u7684", 32, 33}, token{"\u5b89\u88c5", 33, 35}, token{"\u5de5\u4f5c", 35, 37}}, - []token{token{"\u6211", 0, 1}, token{"\u9700\u8981", 1, 3}, token{"\u5ec9\u79df\u623f", 3, 6}}, - []token{token{"\u6c38\u548c", 0, 2}, token{"\u670d\u88c5", 2, 4}, token{"\u9970\u54c1", 4, 6}, token{"\u6709\u9650\u516c\u53f8", 6, 10}}, - []token{token{"\u6211", 0, 1}, token{"\u7231", 1, 2}, token{"\u5317\u4eac", 2, 4}, token{"\u5929\u5b89\u95e8", 4, 7}}, - []token{token{"abc", 0, 3}}, - []token{token{"\u9690", 0, 1}, token{"\u9a6c\u5c14\u53ef\u592b", 1, 5}}, - []token{token{"\u96f7\u7334", 0, 2}, token{"\u662f", 2, 3}, token{"\u4e2a", 3, 4}, token{"\u597d", 4, 5}, token{"\u7f51\u7ad9", 5, 7}}, - []token{token{"\u201c", 0, 1}, token{"Microsoft", 1, 10}, token{"\u201d", 10, 11}, token{"\u4e00\u8bcd", 11, 13}, token{"\u7531", 13, 14}, token{"\u201c", 14, 15}, token{"MICROcomputer", 15, 28}, token{"\uff08", 28, 29}, token{"\u5fae\u578b", 29, 31}, token{"\u8ba1\u7b97\u673a", 31, 34}, token{"\uff09", 34, 35}, token{"\u201d", 35, 36}, token{"\u548c", 36, 37}, token{"\u201c", 37, 38}, token{"SOFTware", 38, 46}, token{"\uff08", 46, 47}, token{"\u8f6f\u4ef6", 47, 49}, token{"\uff09", 49, 50}, token{"\u201d", 50, 51}, token{"\u4e24", 51, 52}, token{"\u90e8\u5206", 52, 54}, token{"\u7ec4\u6210", 54, 56}}, - []token{token{"\u8349\u6ce5\u9a6c", 0, 3}, token{"\u548c", 3, 4}, token{"\u6b3a\u5b9e", 4, 6}, token{"\u9a6c", 6, 7}, token{"\u662f", 7, 8}, token{"\u4eca\u5e74", 8, 10}, token{"\u7684", 10, 11}, token{"\u6d41\u884c", 11, 13}, token{"\u8bcd\u6c47", 13, 15}}, - []token{token{"\u4f0a\u85e4", 0, 2}, token{"\u6d0b\u534e\u5802", 2, 5}, token{"\u603b\u5e9c", 5, 7}, token{"\u5e97", 7, 8}}, - []token{token{"\u4e2d\u56fd\u79d1\u5b66\u9662\u8ba1\u7b97\u6280\u672f\u7814\u7a76\u6240", 0, 12}}, - []token{token{"\u7f57\u5bc6\u6b27", 0, 3}, token{"\u4e0e", 3, 4}, token{"\u6731\u4e3d\u53f6", 4, 7}}, - []token{token{"\u6211", 0, 1}, token{"\u8d2d\u4e70", 1, 3}, token{"\u4e86", 3, 4}, token{"\u9053\u5177", 4, 6}, token{"\u548c", 6, 7}, token{"\u670d\u88c5", 7, 9}}, - []token{token{"PS", 0, 2}, token{":", 2, 3}, token{" ", 3, 4}, token{"\u6211", 4, 5}, token{"\u89c9\u5f97", 5, 7}, token{"\u5f00\u6e90", 7, 9}, token{"\u6709", 9, 10}, token{"\u4e00\u4e2a", 10, 12}, token{"\u597d\u5904", 12, 14}, token{"\uff0c", 14, 15}, token{"\u5c31\u662f", 15, 17}, token{"\u80fd\u591f", 17, 19}, token{"\u6566\u4fc3", 19, 21}, token{"\u81ea\u5df1", 21, 23}, token{"\u4e0d\u65ad\u6539\u8fdb", 23, 27}, token{"\uff0c", 27, 28}, token{"\u907f\u514d", 28, 30}, token{"\u655e\u5e1a", 30, 32}, token{"\u81ea\u73cd", 32, 34}}, - []token{token{"\u6e56\u5317\u7701", 0, 3}, token{"\u77f3\u9996\u5e02", 3, 6}}, - []token{token{"\u6e56\u5317\u7701", 0, 3}, token{"\u5341\u5830\u5e02", 3, 6}}, - []token{token{"\u603b\u7ecf\u7406", 0, 3}, token{"\u5b8c\u6210", 3, 5}, token{"\u4e86", 5, 6}, token{"\u8fd9\u4ef6", 6, 8}, token{"\u4e8b\u60c5", 8, 10}}, - []token{token{"\u7535\u8111", 0, 2}, token{"\u4fee\u597d", 2, 4}, token{"\u4e86", 4, 5}}, - []token{token{"\u505a\u597d", 0, 2}, token{"\u4e86", 2, 3}, token{"\u8fd9\u4ef6", 3, 5}, token{"\u4e8b\u60c5", 5, 7}, token{"\u5c31", 7, 8}, token{"\u4e00\u4e86\u767e\u4e86", 8, 12}, token{"\u4e86", 12, 13}}, - []token{token{"\u4eba\u4eec", 0, 2}, token{"\u5ba1\u7f8e", 2, 4}, token{"\u7684", 4, 5}, token{"\u89c2\u70b9", 5, 7}, token{"\u662f", 7, 8}, token{"\u4e0d\u540c", 8, 10}, token{"\u7684", 10, 11}}, - []token{token{"\u6211\u4eec", 0, 2}, token{"\u4e70", 2, 3}, token{"\u4e86", 3, 4}, token{"\u4e00\u4e2a", 4, 6}, token{"\u7f8e\u7684", 6, 8}, token{"\u7a7a\u8c03", 8, 10}}, - []token{token{"\u7ebf\u7a0b", 0, 2}, token{"\u521d\u59cb\u5316", 2, 5}, token{"\u65f6", 5, 6}, token{"\u6211\u4eec", 6, 8}, token{"\u8981", 8, 9}, token{"\u6ce8\u610f", 9, 11}}, - []token{token{"\u4e00\u4e2a", 0, 2}, token{"\u5206\u5b50", 2, 4}, token{"\u662f", 4, 5}, token{"\u7531", 5, 6}, token{"\u597d\u591a", 6, 8}, token{"\u539f\u5b50", 8, 10}, token{"\u7ec4\u7ec7", 10, 12}, token{"\u6210", 12, 13}, token{"\u7684", 13, 14}}, - []token{token{"\u795d", 0, 1}, token{"\u4f60", 1, 2}, token{"\u9a6c\u5230\u529f\u6210", 2, 6}}, - []token{token{"\u4ed6", 0, 1}, token{"\u6389", 1, 2}, token{"\u8fdb", 2, 3}, token{"\u4e86", 3, 4}, token{"\u65e0\u5e95\u6d1e", 4, 7}, token{"\u91cc", 7, 8}}, - []token{token{"\u4e2d\u56fd", 0, 2}, token{"\u7684", 2, 3}, token{"\u9996\u90fd", 3, 5}, token{"\u662f", 5, 6}, token{"\u5317\u4eac", 6, 8}}, - []token{token{"\u5b59\u541b\u610f", 0, 3}}, - []token{token{"\u5916\u4ea4\u90e8", 0, 3}, token{"\u53d1\u8a00\u4eba", 3, 6}, token{"\u9a6c\u671d\u65ed", 6, 9}}, - []token{token{"\u9886\u5bfc\u4eba", 0, 3}, token{"\u4f1a\u8bae", 3, 5}, token{"\u548c", 5, 6}, token{"\u7b2c\u56db\u5c4a", 6, 9}, token{"\u4e1c\u4e9a", 9, 11}, token{"\u5cf0\u4f1a", 11, 13}}, - 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} -) - -func TesttokenizeDefaultMode(t *testing.T) { - for index, sentence := range test_contents { - tokens := Tokenize(sentence, "default", true) - if len(tokens) != len(result[index]) { - t.Error(len(tokens)) - } - for i, token := range tokens { - if token != result[index][i] { - t.Error(token) - } - } - } -} - -func TesttokenizeNoHMM(t *testing.T) { - for index, sentence := range test_contents { - tokens := Tokenize(sentence, "default", false) - if len(tokens) != len(noHmmResult[index]) { - t.Error(len(tokens)) - } - for i, token := range tokens { - if token != noHmmResult[index][i] { - t.Error(token) - } - } - } -} diff --git a/analyse/tokenizers/jieba.go b/tokenizers/jieba.go similarity index 100% rename from analyse/tokenizers/jieba.go rename to tokenizers/jieba.go diff --git a/analyse/tokenizers/jieba_test.go b/tokenizers/jieba_test.go similarity index 99% rename from analyse/tokenizers/jieba_test.go rename to tokenizers/jieba_test.go index ee9949e..2f55775 100644 --- a/analyse/tokenizers/jieba_test.go +++ b/tokenizers/jieba_test.go @@ -5218,7 +5218,7 @@ func TestJiebaTokenizerDefaultModeWithHMM(t *testing.T) { }, } - tokenizer, _ := NewJiebaTokenizer("../../dict.txt", true, false) + tokenizer, _ := NewJiebaTokenizer("../dict.txt", true, false) for _, test := range tests { actual := tokenizer.Tokenize(test.input) if !reflect.DeepEqual(actual, test.output) { @@ -11056,7 +11056,7 @@ func TestJiebaTokenizerSearchModeWithHMM(t *testing.T) { }, } - tokenizer, _ := NewJiebaTokenizer("../../dict.txt", true, true) + tokenizer, _ := NewJiebaTokenizer("../dict.txt", true, true) for _, test := range tests { actual := tokenizer.Tokenize(test.input) if !reflect.DeepEqual(actual, test.output) { @@ -16473,7 +16473,7 @@ func TestJiebaTokenizerDefaultModeWithoutHMM(t *testing.T) { }, } - tokenizer, _ := NewJiebaTokenizer("../../dict.txt", false, false) + tokenizer, _ := NewJiebaTokenizer("../dict.txt", false, false) for _, test := range tests { actual := tokenizer.Tokenize(test.input) if !reflect.DeepEqual(actual, test.output) { @@ -22505,7 +22505,7 @@ func TestJiebaTokenizerSearchModeWithoutHMM(t *testing.T) { }, } - tokenizer, _ := NewJiebaTokenizer("../../dict.txt", false, true) + tokenizer, _ := NewJiebaTokenizer("../dict.txt", false, true) for _, test := range tests { actual := tokenizer.Tokenize(test.input) if !reflect.DeepEqual(actual, test.output) {