The differences between BNF and JSGF in NLP?

I wonder what the differences are between the BNF(Backus-Naur Form) and JSGF(Java Speech Grammar Format)? The former is a kind of context-free grammar taught in CS224, but I learned that the latter is also being used. Could anyone tell me which one is better and what are their differences?

Topic language-model nlp

Category Data Science


BNF (Backus normal form) is a general framework that can be adopted to a variety of contexts.

JSGF stands for Java Speech Grammar Format, thus is designed to work the Java programming language.

If I wanted to leverage a larger community of knowledge and have my work compatible with as many systems as possible, I would use BNF. If I was coding in Java, I would use JSGF.

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