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| 1 | +package aptag |
| 2 | + |
| 3 | +import ( |
| 4 | + "regexp" |
| 5 | + "strconv" |
| 6 | + "strings" |
| 7 | + |
| 8 | + "github.com/jdkato/aptag/tokenize" |
| 9 | + "gopkg.in/neurosnap/sentences.v1" |
| 10 | + "gopkg.in/neurosnap/sentences.v1/english" |
| 11 | +) |
| 12 | + |
| 13 | +var none = regexp.MustCompile(`^(?:0|\*[\w?]\*|\*\-\d{1,3}|\*[A-Z]+\*\-\d{1,3}|\*)$`) |
| 14 | +var keep = regexp.MustCompile(`^\-[A-Z]{3}\-$`) |
| 15 | + |
| 16 | +// PerceptronTagger ... |
| 17 | +type PerceptronTagger struct { |
| 18 | + Model *AveragedPerceptron |
| 19 | + STokenizer *sentences.DefaultSentenceTokenizer |
| 20 | + WTokenizer tokenize.WordTokenizer |
| 21 | +} |
| 22 | + |
| 23 | +// NewPerceptronTagger ... |
| 24 | +func NewPerceptronTagger() *PerceptronTagger { |
| 25 | + var pt PerceptronTagger |
| 26 | + var err error |
| 27 | + |
| 28 | + pt.Model = NewAveragedPerceptron() |
| 29 | + pt.STokenizer, err = english.NewSentenceTokenizer(nil) |
| 30 | + checkError(err) |
| 31 | + pt.WTokenizer = tokenize.WordTokenizerFn |
| 32 | + |
| 33 | + return &pt |
| 34 | +} |
| 35 | + |
| 36 | +// Tag ... |
| 37 | +func (pt PerceptronTagger) Tag(words []string) []tokenize.Token { |
| 38 | + var tokens []tokenize.Token |
| 39 | + var clean []string |
| 40 | + var tag string |
| 41 | + var found bool |
| 42 | + |
| 43 | + p1, p2 := "-START-", "-START2-" |
| 44 | + context := []string{p1, p2} |
| 45 | + for _, w := range words { |
| 46 | + if w == "" { |
| 47 | + continue |
| 48 | + } |
| 49 | + context = append(context, normalize(w)) |
| 50 | + clean = append(clean, w) |
| 51 | + } |
| 52 | + context = append(context, []string{"-END-", "-END2-"}...) |
| 53 | + for i, word := range clean { |
| 54 | + if none.MatchString(word) { |
| 55 | + tag = "-NONE-" |
| 56 | + } else if keep.MatchString(word) { |
| 57 | + tag = word |
| 58 | + } else if tag, found = pt.Model.TagMap[word]; !found { |
| 59 | + tag = pt.Model.Predict(featurize(i, word, context, p1, p2)) |
| 60 | + } |
| 61 | + tokens = append(tokens, tokenize.Token{Tag: tag, Text: word}) |
| 62 | + p2 = p1 |
| 63 | + p1 = tag |
| 64 | + } |
| 65 | + |
| 66 | + return tokens |
| 67 | +} |
| 68 | + |
| 69 | +// TokenizeAndTag ... |
| 70 | +func (pt PerceptronTagger) TokenizeAndTag(corpus string) []tokenize.Token { |
| 71 | + var tokens []tokenize.Token |
| 72 | + for _, s := range pt.STokenizer.Tokenize(corpus) { |
| 73 | + tokens = append(tokens, pt.Tag(pt.WTokenizer(s.Text))...) |
| 74 | + } |
| 75 | + return tokens |
| 76 | +} |
| 77 | + |
| 78 | +func featurize(i int, w string, ctx []string, p1 string, p2 string) map[string]float64 { |
| 79 | + feats := make(map[string]float64) |
| 80 | + suf := min(len(w), 3) |
| 81 | + i = min(len(ctx)-2, i+2) |
| 82 | + iminus := min(len(ctx[i-1]), 3) |
| 83 | + iplus := min(len(ctx[i+1]), 3) |
| 84 | + feats = add([]string{"bias"}, feats) |
| 85 | + feats = add([]string{"i suffix", w[len(w)-suf:]}, feats) |
| 86 | + feats = add([]string{"i pref1", string(w[0])}, feats) |
| 87 | + feats = add([]string{"i-1 tag", p1}, feats) |
| 88 | + feats = add([]string{"i-2 tag", p2}, feats) |
| 89 | + feats = add([]string{"i tag+i-2 tag", p1, p2}, feats) |
| 90 | + feats = add([]string{"i word", ctx[i]}, feats) |
| 91 | + feats = add([]string{"i-1 tag+i word", p1, ctx[i]}, feats) |
| 92 | + feats = add([]string{"i-1 word", ctx[i-1]}, feats) |
| 93 | + feats = add([]string{"i-1 suffix", ctx[i-1][len(ctx[i-1])-iminus:]}, feats) |
| 94 | + feats = add([]string{"i-2 word", ctx[i-2]}, feats) |
| 95 | + feats = add([]string{"i+1 word", ctx[i+1]}, feats) |
| 96 | + feats = add([]string{"i+1 suffix", ctx[i+1][len(ctx[i+1])-iplus:]}, feats) |
| 97 | + feats = add([]string{"i+2 word", ctx[i+2]}, feats) |
| 98 | + return feats |
| 99 | +} |
| 100 | + |
| 101 | +func add(args []string, features map[string]float64) map[string]float64 { |
| 102 | + key := strings.Join(args, " ") |
| 103 | + if _, ok := features[key]; ok { |
| 104 | + features[key]++ |
| 105 | + } else { |
| 106 | + features[key] = 1 |
| 107 | + } |
| 108 | + return features |
| 109 | +} |
| 110 | + |
| 111 | +func normalize(word string) string { |
| 112 | + if word == "" { |
| 113 | + return word |
| 114 | + } |
| 115 | + first := string(word[0]) |
| 116 | + if strings.Contains(word, "-") && first != "-" { |
| 117 | + return "!HYPHEN" |
| 118 | + } else if _, err := strconv.Atoi(word); err == nil && len(word) == 4 { |
| 119 | + return "!YEAR" |
| 120 | + } else if _, err := strconv.Atoi(first); err == nil { |
| 121 | + return "!DIGITS" |
| 122 | + } |
| 123 | + return strings.ToLower(word) |
| 124 | +} |
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