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Sometimes these categories overlap, notably in the case of topical categories as a text can be relevant to more than one topic.Occasionally, text collections have temporal structure, news collections being the most common example.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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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.

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.

Don't worry if you see an example that contains something unfamiliar; simply try it out and see what it does, and — if you're game — modify it by substituting some part of the code with a different text or word.

This way you will associate a task with a programming idiom, and learn the hows and whys later.

The documents have been classified into 90 topics, and grouped into two sets, called "training" and "test"; thus, the text with fileid Unlike the Brown Corpus, categories in the Reuters corpus overlap with each other, simply because a news story often covers multiple topics.