Skip to main content

Generates books based on other books using nltk

Project description


A python library using nltk to analyse two books and generate a new one.


pip install bookgen


from bookgen import BookGen

book = BookGen("word_base_book.txt", "sentence_base_book.txt")
# will download the nltk extras required, only needed once



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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bookgen-1.0.0.tar.gz (2.7 kB view hashes)

Uploaded source

Built Distribution

bookgen-1.0.0-py3-none-any.whl (3.9 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page