practical_seq2seq

Why we included this project

A small, readable wrapper around TensorFlow's seq2seq module, this repo is built for fast experimentation. It demonstrates the full pipeline on three real datasets: a phoneme-to-word task, a Twitter chat log, and the Cornell Movie Dialog corpus. The notebooks walk through tokenizing, building vocabularies, and handling unknown tokens, so you can see how raw text becomes a trained model. For developers and students who want to understand the mechanics behind a chatbot before reaching for a modern framework, it's a clear study companion. It's not a production-ready conversational engine, but as a teaching example of the classic encoder-decoder architecture it still holds up well.