### natural language processing

Go back to the [[AI Glossary]]


Natural Language Processing is the domain within machine learning dealing with the tasks required for a machine to work with natural language at a level of abstraction close to that, or at, which humans use it. 

These tasks include:

- tokenisation
- tagging
- lemmatisation
- dependancy identification and parsing trees
- shape identification
- part-of-speech recognition
- named entity recognition (NER)

Technologies famous within NLP include:
- [NLTK](https://www.nltk.org/)
- [GPT-2](https://openai.com/blog/gpt-2-1-5b-release/)
- [GPT-3](https://arxiv.org/abs/2005.14165)
- [PyTorch](https://pytorch.org/)
- [TensorFlow](https://www.tensorflow.org/)
- [spaCy](https://spacy.io/)
- [BERT](https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html)
- [BigBird](https://arxiv.org/abs/2007.14062)

#ToDo Find a way to use [[Natural Language Generation]] to generate my own [[Articles - README| articles]], most likely about [[Economics main page|Economics]].