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Natural Language Processing with Java

Natural Language Processing with Java

By : Richard M. Reese
2 (3)
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Natural Language Processing with Java

Natural Language Processing with Java

2 (3)
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 (14 chapters)
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Summary

We have discussed the parsing process and how it can be used to extract relationships from text. It can be used for a number of purposes, including grammar checking and machine translation of text. There are numerous possible text relations. These include such relationships as father of, near to, and under. They are concerned with how elements of text are related to each other.

Parsing the text will return relationships that exist within the text. These relationships can be used to extract information of interest. We demonstrated a number of techniques using the OpenNLP and Stanford APIs to parse text.

We also explained how the Stanford API can be used to find coreference resolutions within text. This occurs when two or more expressions, such as he or they, refer to the same person.

We concluded with an example of how a parser is used to extract relations from a sentence...

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