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We'll use NLTK's support for conditional frequency distributions.

These are presented systematically in 2, where we also unpick the following code line by line.

Many corpora are designed to contain a careful balance of material in one or more genres.This chapter continues to present programming concepts by example, in the context of a linguistic processing task.We will wait until later before exploring each Python construct systematically.Observe that average word length appears to be a general property of English, since it has a recurrent value of variable counts space characters.) By contrast average sentence length and lexical diversity appear to be characteristics of particular authors.The previous example also showed how we can access the "raw" text of the book Although Project Gutenberg contains thousands of books, it represents established literature.For convenience, the corpus methods accept a single fileid or a list of fileids.Similarly, we can specify the words or sentences we want in terms of files or categories.The first handful of words in each of these texts are the titles, which by convention are stored as upper case.In 1, we looked at the Inaugural Address Corpus, but treated it as a single text.The graph in fig-inaugural used "word offset" as one of the axes; this is the numerical index of the word in the corpus, counting from the first word of the first address.However, the corpus is actually a collection of 55 texts, one for each presidential address.


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