Components of NLP

Two components of NLP

 NLP  Components

NLP Components

1. Natural Language Understanding (NLU)

  • Natural Language Understanding (NLU) helps the machine to understand and analyse human language.
  • NLU used in Business applications to understand the customer's problem in both spoken and written language.
  • NLU involves the two tasks -
    • Used to map the given input into useful representation.
    • Used to analyze different aspects of the language.

2. Natural Language Generation (NLG)

  • Natural Language Generation (NLG) acts as a translator that converts the computerized data into natural language representation.
  • It involves in Text planning, Sentence planning, and Text Realization.

Note: The NLU is difficult than NLG.

Read Also

Difference between NLU and NLG

NLU is the process of reading and interpreting language. NLG is the process of writing or generating language.
It produces non-linguistic outputs from natural language inputs. It produces constructing natural language outputs from non-linguistic inputs.

Applications of NLP

 NLP Applications

NLP Applications

1. Question Answering

  • Question Answering focuses on building systems automatically answer to the questions asked by humans in a natural language.

2. Spam Detection

  • Spam detection is used to detect unwanted e-mails from a user's inbox.

3. Sentiment Analysis

  • Sentiment Analysis is also known as opinion mining. It is used on the web to analyse the attitude, behaviour, and emotional state of the sender. This application is implemented through a combination of NLP and statistics by assigning the values to the text, identify the mood of the context.

4. Machine Translation

  • Machine translation is used to translate text or speech from one natural language to another natural language.
 Machine Translation

Machine Translation

  • Example: Google Translator

5. Spelling correction

  • Microsoft Corporation provides word processor software like MS-word, PowerPoint for the spelling correction.
 Spelling Correction

Spelling Correction

6. Speech Recognition

  • Speech recognition is used for converting spoken words into text.

7. Chatbot

  • Implementing the Chatbot is one of the important applications of NLP. It provides the customer chat services.

8. Information extraction

  • Information extraction is one of the most important applications of NLP. It is used for extracting structured information.

9. Natural Language Understanding (NLU)

  • It converts a large set of text into more formal representations such as first-order logic structures that are easier for the computer programs.

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