Languages (Introduction, Regular Expressions) Carol Zander
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Languages (Introduction, Regular Expressions) Carol Zander
Page 1 of 4. Languages (Introduction, Regular Expressions). Carol Zander. This
topic is about modeling computation. Models are important for several reasons.
Languages (Introduction, Regular Expressions)
Carol Zander
This topic is about modeling computation. Models are important for several reasons. They let us think about whether problems can even be solved using a computer (some can’t). They also let us think abstractly about the method to solve a problem. First, we’ll model languages. These are very important from a programming language definition and compilation standpoint. All programming languages and their components are defined by different types of languages. First, what is a language? A language is a set of strings. For example, one program you write is one long string. Or one sentence you write is another long string. Different types of languages give us different powers of expression. Powers of expression refers to what can be represented using that form of expression, i.e., what you can specify using the given representation. If you think of representation of a language as sort of an algebra, some representations allow us to generate more complex strings than others. We can express more complex thoughts using English than we can in C++. Noam Chomsky (the well‐known political activist) is by profession a well‐known linguist. He was interested in formal languages and whether or not they could represent properties of human language. While he was not interested in computers, he came up with a language hierarchy that turned out to be useful in computer science (for the compilation process). This is called the Chomsky hierarchy. It captures the power of expression of languages. A Venn diagram represents the power of these languages, the weakest at the center. Regular languages are subsets of every other category. For example, every language that is regular is context‐ free, but not conversely. Regular languages Context‐free languages Context‐sensitive languages Recursive languages Recursively‐enumerable languages Chomsky defined four language categories: • Regular (Type 3) • Context‐free (Type 2) • Context‐sensitive (Type 1) • Recursively‐enumerable (Type 0) Page 1 of 4
We will study languages from the standpoint of the compiling process. Big Picture: source program
front end
intermediate language
machine independent
back end
machine code
machine dependent
Phases of a Compiler: stream of chars (source program)
. > lexical analyzer . . | . stream of tokens . . symbol table
