Book Image

Natural Language Processing with Java - Second Edition

By : Richard M. Reese
Book Image

Natural Language Processing with Java - Second Edition

By: Richard M. Reese

Overview of this book

Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes. You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more. By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications.
Table of Contents (19 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Using the NLP APIs


We will demonstrate POS tagging using OpenNLP, Stanford API, and LingPipe. Each of the examples will use the following sentence. It is the first sentence of Chapter 5 from At A Venture, of Twenty Thousands Leagues Under the Sea, by Jules Verne:

private String[] sentence = {"The", "voyage", "of", "the",  
    "Abraham", "Lincoln", "was", "for", "a", "long", "time", "marked",  
    "by", "no", "special", "incident."};

The text to be processed may not always be defined in this fashion. Sometimes, the sentence will be available as a single string:

String theSentence = "The voyage of the Abraham Lincoln was for a "  
    + "long time marked by no special incident.";

 

We might need to convert a string to an array of strings. There are numerous techniques for converting this string to an array of words. The following tokenizeSentence method performs this operation:

public String[] tokenizeSentence(String sentence) { 
    String words[] = sentence.split("S+"); 
    return words; 
...