This repository provides a collection of Jupyter Notebook tutorials for natural language processing tasks. It includes implementations of word embeddings, lexical analysis with LSTM and CRF, pretrained language models such as BERT, ELECTRA, ELMO, and GPT, as well as examples for text classification, semantic matching, machine translation, and dialogue systems. The tutorials serve as learning materials for beginners entering NLP and PyTorch development.