I have a few questions about how to configure the pipeline for my chatbot. Since Thai language cannot be tokenized by whitespace, I would like to use Thai tokenizer in spacy.
- If I would like to use spacy for Thai tokenization, how can I call it in the pipeline and how I send tokenized to my own intent classification?
- If I create my own intent classification, how can I use it in the pipeline?
Moreover, I have read an example for customizing components from this blog. [Enhancing Rasa NLU models with Custom Components] I don’t understand well about how custom pipeline works e.g. what is the input and the output each compenent required for? How I send my text to component? Could you please suggest how custom pipeline works?
Thank you so much.