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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Explore various approaches to organize and extract useful text from unstructured data using Java

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
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Authors (2):
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Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
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Toc

NLP tokenizer APIs

In this section, we will demonstrate several different tokenization techniques using the OpenNLP, Stanford, and LingPipe APIs. Although there are a number of other APIs available, we restricted the demonstration to these APIs. The examples will give you an idea of what techniques are available.

We will use a string called paragraph to illustrate these techniques. The string includes a new line break that may occur in real text in unexpected places. It is defined here:

private String paragraph = "Let's pause, \nand then ++ "reflect.";

Using the OpenNLPTokenizer class

OpenNLP possesses a Tokenizer interface that is implemented by three classes: SimpleTokenizer, TokenizerME, and WhitespaceTokenizer. This interface supports two methods:

  • tokenize: This is passed a string to tokenize and returns an array of tokens as strings.
  • tokenizePos: This is passed a string and returns an array of Span objects. The Span class is used to specify the beginning and ending offsets...
You have been reading a chapter from
Natural Language Processing with Java
Published in: Mar 2015
Publisher:
ISBN-13: 9781784391799
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