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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.
: Common Structures for Text Corpora: The simplest kind of corpus is a collection of isolated texts with no particular organization; some corpora are structured into categories like genre (Brown Corpus); some categorizations overlap, such as topic categories (Reuters Corpus); other corpora represent language use over time (Inaugural Address Corpus).
NLTK's corpus readers support efficient access to a variety of corpora, and can be used to work with new corpora.
Some languages have no established writing system, or are endangered.
This corpus contains text from 500 sources, and the sources have been categorized by genre, such as Next, we need to obtain counts for each genre of interest.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.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.We can ask for the topics covered by one or more documents, or for the documents included in one or more categories.
The first handful of words in each of these texts are the titles, which by convention are stored as upper case.