## Issue The tagging results can be improved using the generate file or by trying wider regex patterns . ## Examples `Current results = [[('La', 'UNK'), ('princesa', 'NOUN'), ('juega', 'UNK'), ('hoy', 'UNK')], [('El', 'UNK'), ('valiente', 'UNK'), ('caballero', 'UNK'), ('lucha', 'UNK'), ('contra', 'UNK'), ('el', 'UNK'), ('dragón', 'NOUN')]]` `ExpectedResults=[ [('La', 'DET'), ('princesa', 'NOUN'), ('juega', 'VERB'), ('hoy', 'ADV')], [('El', 'DET'), ('valiente', 'ADJ'), ('caballero', 'NOUN'), ('lucha', 'VERB'), ('contra', 'ADP'), ('el', 'DET'), ('dragón', 'NOUN')] ]` ## Reference line https://github.com/AlbertoPC13/Rose/blob/7cca46c0da5f24e93bf690789410351e8ae21ee0/grammatical_analysis/natural_language_processing_tools/text_preprocessing/pos_tagger/POS_tagger_nltk.py#L41
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