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13-Feb-2017 21:18

In general, we would like to be able to map between arbitrary types of information.3.1 lists a variety of linguistic objects, along with what they map.Consider the following analysis involving By convention in NLTK, a tagged token is represented using a tuple consisting of the token and the tag.We can create one of these special tuples from the standard string representation of a tagged token, using the function Other corpora use a variety of formats for storing part-of-speech tags.

data type that can be used for mapping between arbitrary types.Back in elementary school you learnt the difference between nouns, verbs, adjectives, and adverbs.These "word classes" are not just the idle invention of grammarians, but are useful categories for many language processing tasks.This will be useful when we come to developing automatic taggers, as they are trained and tested on lists of sentences, not words. Let's inspect some tagged text to see what parts of speech occur before a noun, with the most frequent ones first.



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