By Tom Carter
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For example, the regular languages are very concise, easy to work with, and many relevant tools and techniques have been developed. In particular, there has been much research on Markov models. It thus often makes sense to try to develop a regular or Markov approach to your problem, such as the work by Jim Crutchfield on -machines . . Another important example (as indicated above) is work that has been done appliying hidden Markov models to the analysis of genome sequence problems . . 47 Turing machines ← • During the 1930s, the mathematician Alan Turing worked on the general problem of characterizing computable mathematical functions.
41 Rewards Down the line, you can find all kinds of constraints and openings for freedom, limitations on violence, and so on that can be attributed to popular dissidence to which many individuals have contributed, each in a small way. And those are tremendous rewards. There are no President’s Medals of Honour, or citations, or front pages in the New York Review of Books. But I don’t think those are much in the way of genuine rewards, to tell you the truth. Those are the visible signs of prestige; but the sense of community and solidarity, of working together with people whose opinions and feelings really matter to you...
Another thing we would like our grammar to do is provide a mechanism for constructing a corresponding language recognizing machine. This process has largely been automated for classes of 39 languages like the regular, context free, and context sensitive languages. For unix people, the ‘re’ in ‘grep’ stands for ‘regular expression,’ and the tool ‘lex’ is a lexical analyzer constructor. • Of course by now you are wondering about the relationships between languages and meaning . . In the context of at least some computer languages, there is a way we can begin to approach this question.
Introduction to Theory of Computation by Tom Carter