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What are the main elements of Natural Language Processing (NLP)?

Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers

Mark Kara
5 min readSep 8, 2024

This article is the series of Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers Index Article. You can find Key Interview Questions that are highly asked on High-Paying AI Job Interviews and links to expert answer articles from that page.

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language. NLP combines computational linguistics, machine learning, and deep learning techniques to process large amounts of text and speech data, making it possible for machines to interact with humans in a natural and meaningful way.

The key elements of NLP cover various tasks and processes that allow machines to work with language data effectively. Below are the primary components:

1. Tokenization:

  • Definition: Tokenization is the process of breaking down a text into smaller units, such as words, phrases, or sentences. These smaller units, called tokens, are the basic building blocks for further text processing tasks.
  • Purpose: Tokenization helps machines to…

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Mark Kara
Mark Kara

Written by Mark Kara

amazon.com/author/markkara Salesforce Marketing Cloud Technical Architect who writes on Technology, Data Science, Finance , Management and who creates Puzzles.

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