I had a similar experience trying to use an LSTM model / TensorFlow based on the Shakespeare RNN example.
This doesn't generate novel, meaningful text content without a template, but I'm unaware of any machine learning model that does this well (OpenAI's included). This model does absorb the 'rules' of the text, both grammar and structure (character names and dialogue, scene introductions, etc)
This doesn't generate novel, meaningful text content without a template, but I'm unaware of any machine learning model that does this well (OpenAI's included). This model does absorb the 'rules' of the text, both grammar and structure (character names and dialogue, scene introductions, etc)
In my own project, I made use of this to find spelling and grammatical errors on Esperanto Wikipedia: https://medium.com/@mapmeld/esperanto-nlp-part-3-correcting-...