In general, finite state machines can model regular grammars.

Deterministic finite automata can represent deterministic context-free grammars.

Non-deterministic finite automata can represent context-free grammars.

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Better grammars.

A context-free grammar can generate languages that regular grammars cannot, as it allows for the use of non-terminal symbols in productions. Regular grammars, on the other hand, are less powerful and can only generate regular languages, which are a subset of context-free languages. Context-free grammars are more expressive and have more flexibility in rule definitions compared to regular grammars.

Examples of transformational grammars include Chomsky's phrase structure grammar and tree-adjoining grammar. These grammars employ transformational rules to generate sentences by transforming basic phrase structure trees according to specific syntactic operations. Transformational grammars are used in linguistics to study the underlying structure of language.