seq2seq word generator for fun
The models were trained on the version of the Merriam Webster dictionary made available on the following repository:
https://github.com/matthewreagan/WebstersEnglishDictionary
(This is a W.I.P. and most likely will be improved over time).
This can be done by simply calling the appropriate Class and passing a definition of a word.
from madochan.generator import Madochan
word_gen = Madochan()
definition = "The quality of being magnanimous but materialistic, while eating grapes."
new_word = word_gen.create_word(definition)
print(new_word)
>>>partiness
For a more descriptive example check out the jupyter notebook on this repo, or the colab notebook below:
