def augment_language_model(target, source, env): """ Input: old language model, old pronunciations, new pronunciations| ** old language model, old pronunciations, new pronunciations Output: new language model, new vocab, new pronunciations """ #from arpabo import Arpabo, Pronunciations weighted = len(source) == 5 old_prons = Pronunciations(meta_open(source[0].rstr())) old_lm = Arpabo(meta_open(source[1].rstr())) new_prons = Pronunciations(meta_open(source[2].rstr())) mass = source[-1].read() logging.info("Old LM: %s", old_lm) logging.info("Old Pronunciations: %s", old_prons) logging.info("Words to add: %s", new_prons) if weighted: new_probs = ProbabilityList(meta_open(source[3].rstr())) logging.info("Words to add (probabilities): %s", new_probs) old_prons.add_entries(new_prons) if weighted: old_lm.add_unigrams_with_probs(new_probs, mass) else: old_lm.add_unigrams(new_prons.get_words(), mass) logging.info("New Pronunciations: %s", old_prons) logging.info("New LM: %s", old_lm) logging.info("New words have weight %s", old_lm.get_probability_of_words(new_prons.get_words())) logging.info("Old words have weight %s", old_lm.get_probability_of_not_words(new_prons.get_words())) with meta_open(target[0].rstr(), "w") as new_vocab, meta_open(target[1].rstr(), "w") as new_prons, meta_open(target[2].rstr(), "w") as new_lm: new_lm.write(old_lm.format()) new_vocab.write(old_prons.format_vocabulary()) new_prons.write(old_prons.format()) return None