return rondom sentences from word resource

 @param [Fixnum] total count of sentence
 @return [String] words
487910
def sentences(total)
      list = []
      total.times do
        word_count = rand(word_count_range_in_a_sentence)
        sentence_len = word_count.times.inject(0){ |sum| sum + rand(char_count_range_in_a_word) }
        sentence_key = bsearch(sentence_map_keys, sentence_len)
        unless sentence_key
          sentence_key = sentence_map.keys.min
        end
        list << sentence_map[sentence_key].sample
      end
      return list.join(@line_break)
    end
409641
public Map<List<Word>, Float> ngram(List<Word>... sentences){
        if("bigram".equals(NGRAM)){
            return Bigram.bigram(sentences);
      
        }
        if("trigram".equals(NGRAM)){
            return Trigram.trigram(sentences);
        }
        return null;
    }
924824
def select_sentence(hash)
      thrift_method = "getRowsByScanner"
      thrift_table = hash[:from]
      thrift_columns = hash[:select]
      thrift_filters = recurse_where(hash[:where] || [])
      thrift_limit = hash[:limit]
      
      HipsterSqlToHbase::ThriftCallGroup.new([{:method => thrift_method,:arguments => [thrift_table,thrift_columns,thrift_filters,thrift_limit,{}]}])
    end
1160564
def _compute_tf(self, sentences):
        
        content_words = self._get_all_content_words_in_doc(sentences)
        content_words_count = len(content_words)
        content_words_freq = self._compute_word_freq(content_words)
        content_word_tf = dict((k, v / content_words_count) for (k, v) in content_words_freq.items())
        return content_word_tf
1205604
def remarks(keyword=nil)
     if keyword.nil?
       @remarks
     else
       ukw = keyword.upcase
       @remarks.find_all {|r| r[:keyword] == (ukw)}
     end
   end
1342852
def parse_doc(doc):
    """"""
    word_spans = []
    sentence_spans = []
    sentence_chunks = doc.split('\n\n')
    sentences = []
    for chunk in sentence_chunks:
        sent_texts, sent_labels = get_texts_and_labels(chunk.strip())
        sentences.append(list(zip(sent_texts, sent_labels)))
    return sentences
272456
def _bpe_to_words(sentence, delimiter='@@'):
    """"""
    words = []
    word = ''
    delimiter_len = len(delimiter)
    for subwords in sentence:
        if len(subwords) >= delimiter_len and subwords[-delimiter_len:] == delimiter:
            word += subwords[:-delimiter_len]
        else:
            word += subwords
            words.append(word)
            word = ''
    return words
696581
def sentence(options={})
    word = options[:first_word] || self.first_word
    num_words_option = options[:words] || (3..15)
    count = Util.rand_count(num_words_option,randomizer)
    punctuation = options[:punctuation] || self.punctuation

    words = count.times.collect do
      word.tap {word = model.next_word(word,randomizer)}
    end.compact

    words = extend_trailing_preposition(Util.max(num_words_option), words)

    Util.capitalize words.compact.join(" ") + punctuation
  end
649291
private List<String> getCorrectWords(List<String> wordsOrPhrases) {
    List<String> result = new ArrayList<>();
    for (String wordOrPhrase : wordsOrPhrases) {
      // this might be a phrase like "aufgrund dessen", so it needs to be split: 
      String[] words = tokenizeText(wordOrPhrase);
      boolean wordIsOkay = true;
      for (String word : words) {
        if (hunspellDict.misspelled(word)) {
          wordIsOkay = false;
          break;
        }
      }
      if (wordIsOkay) {
        result.add(wordOrPhrase);
      }
    }
    return result;
  }
995099
def word_count(ctx, text, by_spaces=False):
    
    text = conversions.to_string(text, ctx)
    by_spaces = conversions.to_boolean(by_spaces, ctx)
    return len(__get_words(text, by_spaces))
877151
public static String sentence(int wordCount, boolean supplemental, int randomWordsToAdd) {
        List<String> wordList = words(wordCount + RandomUtils.nextInt(randomWordsToAdd), supplemental);
        String sentenceString = StringUtils.join(wordList, " ");

        return StringUtils.capitalize(sentenceString + ".");
    }
555010
public static List<String> getWords(int count, boolean startLorem) {
        LinkedList<String> wordList = new LinkedList<String>();

        if (startLorem) {
            if (count > COMMON_WORDS.length) {
                wordList.addAll(Arrays.asList(COMMON_WORDS));

            } else {
                // add first "count" words
                for (int i = 0; i < count; i++) {
                    wordList.add(COMMON_WORDS[i]);
                }
            }
        }

        // add remaining words (random)
        for (int i = wordList.size(); i < count; i++) {
            wordList.add(QuickUtils.math.getRandomPosition(DICTIONARY));
        }

        return wordList;
    }
846829
def words(total)
      (1..interpret_value(total)).map { WORDS[rand(WORDS.size)] }.join(' ')
    end
1248496
def word_counts(self):
        """"""
        counts = defaultdict(int)
        stripped_words = [lowerstrip(word) for word in self.words]
        for word in stripped_words:
            counts[word] += 1
        return counts
283201
def word(self, position):
        '''
        
        '''
        if 0 <= position < len(self.wordlist):
            return self.wordlist[position]
        else:
            log.warn('position "{}" is not in sentence of length "{}"!'.format(position, len(self.wordlist)))
            raise IndexError()
64120
public static List<String> splitSentence2(String text, SentenceDetector sd) {
        List<String> sentences = new ArrayList<String>();
        try {
            int sentenceOffsets[] = sd.sentPosDetect(text);

            int begin = 0;
            int end = 0;
            for (int i = 0; i < sentenceOffsets.length; i++) {
                end = begin
                        + (text.substring(begin, sentenceOffsets[i]).trim())
                                .length();
                sentences.add(text.substring(begin, end));
                begin = sentenceOffsets[i];
            }
        } catch (Exception e) {
            LOG.warn("failed to extract sentences from text '" + text + "'", e);
        }
        return sentences;
    }
1001660
function tag_sentence_wordnet(tagged_sentence, callback) {
  var wordnet_results = {};
  var nr_tokens = tagged_sentence.length;

  tagged_sentence.forEach(function(tagged_word) {
    logger.debug("tag_sentence: processing " + tagged_word);
    wordnet.lookup(tagged_word[0], function(results) {
      results.forEach(function(result) {
        if (tagged_word.lastIndexOf(result.pos) <= 0) {
          tagged_word.push(result.pos);
          logger.debug("Lexical category of " + tagged_word[0] + " is: " + result.pos);
        }
      });

      nr_tokens--;
      if (nr_tokens === 0) {
        logger.info("Exit tag_sentence_wordnet: " + JSON.stringify(tagged_sentence));
        callback(tagged_sentence);
      }
    });
  });
}