An Introduction to Natural Language Processing Through Prolog

What is Natural Language Processing?

Natural language processing (NLP) is a subfield of artificial intelligence that gives computers the ability to understand and generate human language. NLP has a wide range of applications, such as text classification, spam filtering, machine translation, and question answering.

An Introduction to Natural Language Processing Through Prolog (Learning about Language)

by Clive Matthews

4 out of 5

Language	:	English
File size	:	4077 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	313 pages

FREE

Prolog for NLP

Prolog is a programming language that is well-suited for NLP tasks. Prolog is a declarative language, which means that it allows you to express your program in terms of facts and rules. This makes Prolog programs easy to read and understand.

Prolog also has a number of built-in features that make it ideal for NLP tasks. For example, Prolog has:

• A built-in parser that can parse natural language text into a logical form.
• A built-in unification engine that can match patterns in text.
• A rich set of data structures that can represent natural language data.

NLP Tasks in Prolog

Prolog can be used to perform a wide range of NLP tasks, including:

• Text classification: Classifying text into different categories, such as news, sports, and entertainment.
• Spam filtering: Identifying spam emails.
• Machine translation: Translating text from one language to another.
• Question answering: Answering questions based on a given text.

Example: Text Classification

Here is an example of how to use Prolog to perform text classification. This example classifies text into two categories: news and sports.

classify

Prolog is a powerful language for NLP tasks. It is easy to learn and use, and it has a number of built-in features that make it ideal for NLP tasks.

An Introduction to Natural Language Processing Through Prolog (Learning about Language)

by Clive Matthews

4 out of 5

Language	:	English
File size	:	4077 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	313 pages

FREE