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https://github.com/fumiama/jieba.git
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tweak SuggestFrequency, added example
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@@ -35,6 +35,60 @@ func Example() {
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// 【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 /
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// 【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 /
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}
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}
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func Example_suggestFrequency() {
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var seg jiebago.Segmenter
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seg.LoadDictionary("dict.txt")
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print := func(ch <-chan string) {
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for word := range ch {
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fmt.Printf(" %s /", word)
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}
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fmt.Println()
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}
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sentence := "超敏C反应蛋白是什么?"
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fmt.Print("Before:")
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print(seg.Cut(sentence, false))
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word := "超敏C反应蛋白"
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oldFrequency, _ := seg.Frequency(word)
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frequency := seg.SuggestFrequency(word)
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fmt.Printf("%s current frequency: %f, suggest: %f.\n", word, oldFrequency, frequency)
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seg.AddWord(word, frequency)
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fmt.Print("After:")
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print(seg.Cut(sentence, false))
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sentence = "如果放到post中将出错"
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fmt.Print("Before:")
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print(seg.Cut(sentence, false))
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word = "中将"
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oldFrequency, _ = seg.Frequency(word)
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frequency = seg.SuggestFrequency("中", "将")
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fmt.Printf("%s current frequency: %f, suggest: %f.\n", word, oldFrequency, frequency)
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seg.AddWord(word, frequency)
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fmt.Print("After:")
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print(seg.Cut(sentence, false))
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sentence = "今天天气不错"
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fmt.Print("Before:")
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print(seg.Cut(sentence, false))
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word = "今天天气"
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oldFrequency, _ = seg.Frequency(word)
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frequency = seg.SuggestFrequency("今天", "天气")
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fmt.Printf("%s current frequency: %f, suggest: %f.\n", word, oldFrequency, frequency)
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seg.AddWord(word, frequency)
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fmt.Print("After:")
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print(seg.Cut(sentence, false))
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// Output:
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// Before: 超敏 / C / 反应 / 蛋白 / 是 / 什么 / ? /
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// 超敏C反应蛋白 current frequency: 0.000000, suggest: 1.000000.
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// After: 超敏C反应蛋白 / 是 / 什么 / ? /
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// Before: 如果 / 放到 / post / 中将 / 出错 /
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// 中将 current frequency: 763.000000, suggest: 494.000000.
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// After: 如果 / 放到 / post / 中 / 将 / 出错 /
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// Before: 今天天气 / 不错 /
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// 今天天气 current frequency: 3.000000, suggest: 0.000000.
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// After: 今天 / 天气 / 不错 /
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}
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func Example_loadUserDictionary() {
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func Example_loadUserDictionary() {
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var seg jiebago.Segmenter
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var seg jiebago.Segmenter
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seg.LoadDictionary("dict.txt")
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seg.LoadDictionary("dict.txt")
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34
jieba.go
34
jieba.go
@@ -34,11 +34,25 @@ func (seg *Segmenter) AddWord(word string, frequency float64) {
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seg.dict.AddToken(dictionary.NewToken(word, frequency, ""))
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seg.dict.AddToken(dictionary.NewToken(word, frequency, ""))
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}
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}
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// Delete removes a word from dictionary
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// DeleteWord removes a word from dictionary
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func (seg *Segmenter) DeleteWord(word string) {
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func (seg *Segmenter) DeleteWord(word string) {
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seg.dict.AddToken(dictionary.NewToken(word, 0.0, ""))
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seg.dict.AddToken(dictionary.NewToken(word, 0.0, ""))
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}
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}
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/*
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SuggestFrequency returns a suggested frequncy of a word or a long word
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cutted into several short words.
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This method is useful when a word in the sentence is not cutted out correctly.
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If a word should not be further cutted, for example word "石墨烯" should not be
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cutted into "石墨" and "烯", SuggestFrequency("石墨烯") will return the maximu
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frequency for this word.
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If a word should be further cutted, for example word "今天天气" should be
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further cutted into two words "今天" and "天气", SuggestFrequency("今天", "天气")
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should return the minimum frequency for word "今天天气".
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*/
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func (seg *Segmenter) SuggestFrequency(words ...string) float64 {
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func (seg *Segmenter) SuggestFrequency(words ...string) float64 {
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frequency := 1.0
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frequency := 1.0
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if len(words) > 1 {
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if len(words) > 1 {
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@@ -48,6 +62,7 @@ func (seg *Segmenter) SuggestFrequency(words ...string) float64 {
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}
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}
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frequency /= seg.dict.total
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frequency /= seg.dict.total
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}
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}
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frequency, _ = math.Modf(frequency * seg.dict.total)
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wordFreq := 0.0
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wordFreq := 0.0
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if freq, ok := seg.dict.Frequency(strings.Join(words, "")); ok {
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if freq, ok := seg.dict.Frequency(strings.Join(words, "")); ok {
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wordFreq = freq
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wordFreq = freq
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@@ -63,7 +78,8 @@ func (seg *Segmenter) SuggestFrequency(words ...string) float64 {
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}
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}
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frequency /= seg.dict.total
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frequency /= seg.dict.total
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}
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}
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frequency = frequency*seg.dict.total + 1
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frequency, _ = math.Modf(frequency * seg.dict.total)
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frequency += 1.0
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wordFreq := 1.0
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wordFreq := 1.0
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if freq, ok := seg.dict.Frequency(word); ok {
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if freq, ok := seg.dict.Frequency(word); ok {
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wordFreq = freq
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wordFreq = freq
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@@ -223,14 +239,14 @@ func (seg *Segmenter) cutDAGNoHMM(sentence string) <-chan string {
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if reEng.MatchString(string(frag)) && len(frag) == 1 {
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if reEng.MatchString(string(frag)) && len(frag) == 1 {
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buf = append(buf, frag...)
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buf = append(buf, frag...)
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x = y
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x = y
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} else {
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continue
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if len(buf) > 0 {
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result <- string(buf)
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buf = make([]rune, 0)
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}
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result <- string(frag)
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x = y
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}
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}
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if len(buf) > 0 {
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result <- string(buf)
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buf = make([]rune, 0)
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}
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result <- string(frag)
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x = y
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}
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}
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if len(buf) > 0 {
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if len(buf) > 0 {
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result <- string(buf)
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result <- string(buf)
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