Class: LanguageDetector
- Inherits:
-
Object
- Object
- LanguageDetector
- Defined in:
- lib/language_detector.rb
Defined Under Namespace
Classes: Profile
Class Method Summary collapse
Instance Method Summary collapse
- #detect(text) ⇒ Object
-
#initialize(type = 'tc') ⇒ LanguageDetector
constructor
Supports two ngram databases: - fm - built from scratch texts included with gem - tc - textcat ngram database.
- #load_model(name) ⇒ Object
Constructor Details
#initialize(type = 'tc') ⇒ LanguageDetector
Supports two ngram databases:
-
fm - built from scratch texts included with gem
-
tc - textcat ngram database
13 14 15 |
# File 'lib/language_detector.rb', line 13 def initialize(type='tc') @profiles = load_model(type) end |
Class Method Details
.train_fm ⇒ Object
65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 |
# File 'lib/language_detector.rb', line 65 def self.train_fm # For a full list of ISO 639 language tags visit: # http://www.loc.gov/standards/iso639-2/englangn.html # http://www.loc.gov/standards/iso639-2/php/English_list.php #LARGE profiles follow: #NOTE: These profiles taken from the "World War II" node on wikipedia #with the 'lang' and ?action=raw URI which results in a UTF8 encoded #file. If we need to get more profile data for a language this is #always a good source of data. # # http:#en.wikipedia.org/wiki/World_War_II # EU corpus: http://wt.jrc.it/lt/Acquis/ # training_data = [ [ "ar", "ar-utf8.txt", "utf8", "arabic" ], [ "bg", "bg-utf8.txt", "utf8", "bulgarian" ], [ "cs", "cs-utf8.txt", "utf8", "czech" ], [ "da", "da-utf8.txt", "utf8", "danish" ], [ "de", "de-utf8.txt", "utf8", "german" ], [ "el", "el-utf8.txt", "utf8", "greek" ], [ "en", "en-utf8.txt", "utf8", "english" ], [ "et", "et-utf8.txt", "utf8", "estonian" ], [ "es", "es-utf8.txt", "utf8", "spanish" ], [ "fa", "fa-utf8.txt", "utf8", "farsi" ], [ "fi", "fi-utf8.txt", "utf8", "finnish" ], [ "fr", "fr-utf8.txt", "utf8", "french" ], [ "ga", "ga-utf8.txt", "utf8", "irish" ], [ "he", "he-utf8.txt", "utf8", "hebrew" ], [ "hi", "hi-utf8.txt", "utf8", "hindi" ], [ "hr", "hr-utf8.txt", "utf8", "croatian" ], [ "it", "it-utf8.txt", "utf8", "italian" ], [ "ja", "ja-utf8.txt", "utf8", "japanese" ], [ "ko", "ko-utf8.txt", "utf8", "korean" ], [ "hu", "hu-utf8.txt", "utf8", "hungarian" ], [ "tk", "tk-utf8.txt", "utf8", "turkish" ], [ "nl", "nl-utf8.txt", "utf8", "dutch" ], [ "no", "no-utf8.txt", "utf8", "norwegian" ], [ "pl", "pl-utf8.txt", "utf8", "polish" ], [ "pt", "pt-utf8.txt", "utf8", "portuguese" ], [ "ro", "ro-utf8.txt", "utf8", "romanian" ], [ "ru", "ru-utf8.txt", "utf8", "russian" ], [ "sl", "sl-utf8.txt", "utf8", "slovenian" ], [ "sv", "sv-utf8.txt", "utf8", "swedish" ], [ "th", "th-utf8.txt", "utf8", "thai" ], [ "uk", "uk-utf8.txt", "utf8", "ukraninan" ], [ "vi", "vi-utf8.txt", "utf8", "vietnamese" ], [ "zh", "zh-utf8.txt", "utf8", "chinese" ] # id (indonesian) # ku (kurdish) # lt (lithuanian) # lv (latvian) # mk (macedonian) # ms (malay) # sr (serbian) # my (burmese) # [ "fy", "fy-utf8.txt", "utf8", "frisian" ], # [ "io", "io-utf8.txt", "utf8", "ido" ], # [ "is", "is-utf8.txt", "utf8", "icelandic" ], ] profiles = [] training_data.each do |data| p = LanguageDetector::Profile.new(:name => data.last, :file => data[1]) profiles.push p end puts 'saving model...' filename = File.(File.join(File.dirname(__FILE__), "model-fm.yml")) File.open(filename, 'w') {|f| YAML.dump(profiles, f)} end |
.train_tc ⇒ Object
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
# File 'lib/language_detector.rb', line 34 def self.train_tc profiles = [] languages = Dir.glob("textcat_ngrams/*.lm").collect {|l| l.gsub(/\.lm$/,'')}.sort languages.each do |language| ngram = {} rang = 1 lang = File.open("#{language}.lm", "r") lang.each_line do |line| line = line.chomp if line =~ /^[^0-9\s]+/o ngram[line.chomp.split(/\t/).first] = rang rang += 1 end end lang.close p = LanguageDetector::Profile.new(:name => language.split('/').last.split('-').first) p.ngrams = ngram profiles.push p end puts 'saving model...' filename = File.(File.join(File.dirname(__FILE__), "model-tc.yml")) File.open(filename, 'w') {|f| YAML.dump(profiles, f)} end |
Instance Method Details
#detect(text) ⇒ Object
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
# File 'lib/language_detector.rb', line 17 def detect(text) p = LanguageDetector::Profile.new(:text => text) best_profile = nil best_distance = nil @profiles.each do |profile| distance = profile.compute_distance(p) if !best_distance or distance < best_distance best_distance = distance best_profile = profile end end p best_distance best_profile.name end |
#load_model(name) ⇒ Object
139 140 141 142 |
# File 'lib/language_detector.rb', line 139 def load_model(name) filename = File.(File.join(File.dirname(__FILE__), "model-#{name}.yml")) @profiles = YAML.load_file(filename) end |