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2- A natural language processing (NLP) library: Choose an NLP library that can help your system understand the intent behind the user's voice commands.

Python, for example, has libraries such as NLTK (Natural Language Toolkit) and SpaCy. These libraries provide functionalities for tokenizing, parsing, and semantic reasoning, among other tasks.

Language models install as Python packages, so they can be tracked as part of an application’s dependency list. The latest version of the framework, SpaCy 3.0, provides many upgrades.