Snips NLU is a Natural Language Understanding Python library that allows to parse sentences written in natural language, and extract structured information.
It’s the library that powers the NLU engine used in the Snips Console that you can use to create awesome and private-by-design voice assistants.
Snips NLU relies on external language resources that must be downloaded before the library can be used.
Snips NLU requires Python 2.7 or Python >= 3.5.
Features include:
- ‘Private by Design’ alternative to traditional voice assistants. This means user data is not touched, processed or collected, unlike most voice assistants.
- Leverages machine learning algorithms and some training data in order to produce a powerful intent recognition engine.
- Provides a default NLU pipeline containing built-in processing units such as the LookupIntentParser or the ProbabilisticIntentParser.
- Define custom processing units and use them in a SnipsNLUEngine.
- Supports 2 dataset formats: YAML and JSON.
- Command Line Interface.
- Supports English, French, German, Italian, Japanese, Korean, Portuguese, Portuguese (Brazilian), and Spanish.
Website: snips-nlu.readthedocs.io
Support: Documentation, GitHub Code Repository
Developer: Snips
License: Apache License 2.0
Snips have also open sourced Snips NLU-rs, a Rust implementation focused on the prediction aspect.
Snips NLU is written in Python. Learn Python with our recommended free books and free tutorials.
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