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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

The SBD process


The SBD process is language dependent and is often not straightforward. Common approaches to detect sentences include using a set of rules or training a model to detect them. A set of simple rules for detecting a sentence follows. The end of a sentence is detected if:

  • The text is terminated by a period, question mark, or exclamation mark

  • The period is not preceded by an abbreviation or followed by a digit

Although this works well for most sentences, it will not work for all of them. For example, it is not always easy to determine what an abbreviation is, and sequences such as ellipses may be confused with periods.

Most search engines are not concerned with SBD. They are only interested in a query's tokens and their positions. POS taggers and other NLP tasks that perform extraction of data will frequently process individual sentences. The detection of sentence boundaries will help separate phrases that might appear to span sentences. For example, consider the following sentence...

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