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<Paper uid="P06-4018">
  <Title>NLTK: The Natural Language Toolkit</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> NLTK, the Natural Language Toolkit, is a suite of Python modules providing many NLP data types, processing tasks, corpus samples and readers, together with animated algorithms, tutorials, and problem sets (Loper and Bird, 2002). Data types include tokens, tags, chunks, trees, and feature structures. Interface definitions and reference implementations are provided for tokenizers, stemmers, taggers (regexp, ngram, Brill), chunkers, parsers (recursive-descent, shift-reduce, chart, probabilistic), clusterers, and classifiers. Corpus samples and readers include:</Paragraph>
  </Section>
class="xml-element"></Paper>