In French:
as in "free as a bird" = libre
as in "cheap" = gratuit
No, not every deterministic context-free language is regular. While regular languages are a subset of deterministic context-free languages, there are deterministic context-free languages that are not regular. This is because deterministic context-free languages can include more complex structures that cannot be captured by regular expressions.
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.
Yes, many languages around the world have their own unique sign languages that are distinct from each other. These sign languages are used by deaf communities to communicate and are not universal across all languages.
Mandarin and Uyghur are the two languages spoken in Xinjiang to about 50/50.
The languages of the Anatolia region include:TurkishKurmanjiArabicZazaKabardianVarious other Turkic languages
No, not all regular languages are context-free. Regular languages are a subset of context-free languages, but there are context-free languages that are not regular.
Context-free languages are a type of formal language in theoretical computer science. Examples include programming languages like C, Java, and Python. These languages are different from regular languages and context-sensitive languages because they can be described by context-free grammars, which have rules that do not depend on the context in which a symbol appears. This allows for simpler parsing and analysis of the language's syntax.
Turing recognizable languages are those that can be accepted by a Turing machine, a theoretical model of computation. Examples include regular languages, context-free languages, and recursively enumerable languages. These languages differ from others in terms of their computational complexity and the types of machines that can recognize them. Regular languages are the simplest and can be recognized by finite automata, while context-free languages require pushdown automata. Recursively enumerable languages are the most complex and can be recognized by Turing machines.
Here's a link that came up when I typed "learn languages free" into my search engine.
Yes, context-free languages are closed under concatenation.
No, not every deterministic context-free language is regular. While regular languages are a subset of deterministic context-free languages, there are deterministic context-free languages that are not regular. This is because deterministic context-free languages can include more complex structures that cannot be captured by regular expressions.
You can find free audiobooks in languages other than English at websites like LibriVox, Litterature audio, and Internet Archive. These sites offer a variety of public domain audiobooks in different languages for free.
One can download a free text translator from the Syntransoft website. It is a free software that translates from many languages into English and from English into those languages.
Programming languages (or natural languages) cannot be downloaded.
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.
Undecidable languages are languages for which there is no algorithm that can determine whether a given input string is in the language or not. Examples of undecidable languages include the Halting Problem and the Post Correspondence Problem. Decidable languages, on the other hand, are languages for which there exists an algorithm that can determine whether a given input string is in the language or not. Examples of decidable languages include regular languages and context-free languages. The key difference between undecidable and decidable languages is that decidable languages have algorithms that can always provide a definite answer, while undecidable languages do not have such algorithms.
translation of the word independent in other languages