# PKU-TANGENT/nlp-tutorial

NLP新手入门教程

Repository: https://github.com/PKU-TANGENT/nlp-tutorial
Canonical: https://ross.abutalabs.com/products/pku-tangent-nlp-tutorial
Language: Python
License: MIT
License Family: permissive
Last push: 2022-10-23T13:57:41+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1800, "days_push": 1410, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1456, forks 125 (observed 2026-08-28T04:04:46.902317+00:00)

## What it is
A beginner tutorial repository from PKU's TANGENT lab for getting started with NLP research. It curates foundational machine learning and deep learning resources and provides hands-on tasks in text classification, NER with LSTM-CRF, machine translation, and Transformers/Hugging Face.

## Use cases
- learn nlp from scratch
- beginner tutorial for natural language processing
- hands-on text classification with deep learning
- implement lstm-crf named entity recognition
- learn neural machine translation
- get started with huggingface transformers
- curated reading list for nlp research

## When to choose
- you are a student or newcomer starting NLP research
- you want a structured path from ML basics to pretrained language models
- you prefer guided coding tasks alongside theory

## When to avoid
- you need a production NLP library or tool
- you want an up-to-date course with recent releases
- you need English-language materials only

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, machine-learning, deep-learning
- domain: machine-learning, deep-learning, tutorials
- platform: python
- tags: nlp-tutorial, beginner-friendly, chinese-language, pytorch, huggingface, text-classification, named-entity-recognition, machine-translation, transformers, natural-language-processing, linux

## Member repositories
- PKU-TANGENT/nlp-tutorial (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.902317+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:35.553766+00:00, confidence not recorded.
  - readme: https://github.com/PKU-TANGENT/nlp-tutorial (fetched 2026-08-28T04:04:46.902317+00:00, sha 01a28c9229f5)
- Data as of 2026-08-30T08:39:29.467469+00:00.