bookgen
A python library using nltk to analyse two books and generate a new one.
Installation
pip install bookgen
Usage
from bookgen import BookGen
book = BookGen("word_base_book.txt", "sentence_base_book.txt")
# book.download() will download the nltk extras required, only needed once
print(book.run())
Explanation
BookGen will parse word classes from the first specified book, looking like this:
{"NOUN": ["Mountain", "Valley"], "VERB": ["take", "went"]}
These are sorted by the nltk universal tagset.
The second book serves as sentence base. It will be parsed into a list of word types that represent the whole book.
["NOUN", "VERB", "PREP", "NOUN", "CONJ", "VERB", "."]
Then, it generates a list of words from the words of the first book based on the second book.
["Nathan", "went", "to", "Valley", "and", "peed", "."]
This is joined with some capitalization fixes and returned.
1 maintainer
Metadata
1 maintainer
Release files for bookgen 1.0.0
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Total release size: 6.6 kB
Release files / bookgen-1.0.0.tar.gz
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