The n-grams collection was extracted from the collected documents whose identified language was Portuguese. We extracted word n-grams up to the fifht order (5-grams). A set of regular expressions to tokenize the text were applied. After the extraction, all n-grams with tokens having more than 32 characters were discarded. N-grams with frequencies below 5 were discarded as well. The n-grams collection is available as a set of UTF-8 encoded files, containing the n-grams and their frequencies
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The n-grams collection was extracted from the collected documents whose identified language was Portuguese. We extracted word n-grams up to the fifht order (5-grams). A set of regular expressions to tokenize the text were applied. After the extraction, all n-grams with tokens having more than 32 characters were discarded. N-grams with frequencies below 5 were discarded as well. The n-grams collection is available as a set of UTF-8 encoded files, containing the n-grams and their frequencies