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For the moment, you can ignore the details and just concentrate on the output.

The Reuters Corpus contains 10,788 news documents totaling 1.3 million words.

Some languages have no established writing system, or are endangered.

(See 7 for suggestions on how to locate language resources.) We have seen a variety of corpus structures so far; these are summarized in 1.3.

An interesting property of this collection is its time dimension: Many text corpora contain linguistic annotations, representing POS tags, named entities, syntactic structures, semantic roles, and so forth.

NLTK provides convenient ways to access several of these corpora, and has data packages containing corpora and corpus samples, freely downloadable for use in teaching and research. For information about downloading them, see : Cumulative Word Length Distributions: Six translations of the Universal Declaration of Human Rights are processed; this graph shows that words having 5 or fewer letters account for about 80% of Ibibio text, 60% of German text, and 25% of Inuktitut text.

However, the corpus is actually a collection of 55 texts, one for each presidential address.

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.

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.

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