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For this reason, a special kind of dictionary called a The above examples specified the default value of a dictionary entry to be the default value of a particular data type.

However, we can specify any default value we like, simply by providing the name of a function that can be called with no arguments to create the required value.

In general, we would like to be able to map between arbitrary types of information.

We will also see how tagging is the second step in the typical NLP pipeline, following tokenization.

Note that part-of-speech tags have been converted to uppercase, since this has become standard practice since the Brown Corpus was published.

Tagged corpora for several other languages are distributed with NLTK, including Chinese, Hindi, Portuguese, Spanish, Dutch and Catalan.

NLTK's corpus readers provide a uniform interface so that you don't have to be concerned with the different file formats.

In contrast with the file fragment shown above, the corpus reader for the Brown Corpus represents the data as shown below.

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Consider the following analysis involving By convention in NLTK, a tagged token is represented using a tuple consisting of the token and the tag.

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