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level up and down the readability of stories

analyz_meaning_of_sentences: -uses nltk to get code to recognize sentences as correct or incorrect -attempts to fix synonym problem where new sentences are syntactically correct but don't make sense.

story_categories: -prints out what words are found in books in grade level 1.2 -prints out what words are found in books in grade level 1.3 but not found in 1.2 -etc.

MLU_story_cat: -MLU calculator -puts words into groups based off of books' MLU scores

readability_project: -takes one file, tokenizes its sentences and words, pos_tag the words, lemmatize words -makes sentences into sentence objects -makes words into word objects that are attributes to the sentence objects

-code to find synonyms for adverbs -replaces adverbs with synonyms and creates new file with changed story

-uses book_tot_modify_read.py, fixing_strings_read.py, importing_txt_files_read.py, modify_dictionary_from_excel_read.py, number_word_modify_read.py, propnoun_modify_read.py, punctuation_modify_read.py, stopwords_modify_read.py

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