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- A note on undecidable properties of formal languages | SpringerLink.
About this book The need for a comprehensive survey-type exposition on formal languages and related mainstream areas of computer science has been evident for some years. Ambiguity is not only common but often deliberate. The literal meaning of words is more important, and the structure contributes more meaning. Prose is more amenable to analysis than poetry but still often ambiguous.
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The meaning of a computer program is unambiguous and literal, and can be understood entirely by analysis of the tokens and structure. Here are some suggestions for reading programs and other formal languages. First, remember that formal languages are much more dense than natural languages, so it takes longer to read them.
Also, the structure is very important, so it is usually not a good idea to read from top to bottom, left to right. Instead, learn to parse the program in your head, identifying the tokens and interpreting the structure. Finally, the details matter. Little things like spelling errors and bad punctuation, which you can get away with in natural languages, can make a big difference in a formal language.
Social Runestone in social media:. And most importantly: Programming languages are formal languages that have been designed to express computations. Actually both languages can be parsed determining the structure of the sentence , but formal languages can be parsed more easily in software. All of these can be present in natural languages, but cannot exist in formal languages.
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There are several differences between the two but they are also similar. These are the similarities between the two.
Advertisement Hide. A note on undecidable properties of formal languages. This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access. Bar-Hillel, M. Perles and E. Shamir , On formal properties of simple phrase structure grammars. Phonetik Sprachwiss.
A note on undecidable properties of formal languages
Google Scholar. Ginsburg and S. Greibach , Deterministic context-free languages. Information and Control 9 , —
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