What is Natural Language Processing

The video tutorial introduces natural language processing (NLP) and explains how computers can be trained to understand and interpret human language. It demonstrates NLP through examples like controlling lights using human-like instructions. The tutorial also outlines various NLP features such as key phrase extraction, entity recognition, sentiment analysis, language modeling, speech recognition, synthesis, and translation. The goal is to provide a foundational understanding of NLP and its applications.

What is the primary goal of training computers in natural language processing?

• To teach computers to recognize images

• To allow computers to generate random text

• To enable computers to perform mathematical calculations

• To make computers understand and interpret human-like language

In the example provided, what action does the computer take when asked to 'turn on all the lights'?

• It turns off the table lamp

• It turns on both the table lamp and floor lamp

• It changes the color of the lights

• It does nothing

Which of the following is NOT a feature of natural language processing discussed in the lesson?

• Entity recognition

• Key phrase extraction

• Image processing

• Sentiment analysis

What is an example of language modeling in NLP?

• Speech recognition

• Turning on a table lamp using a command

• Image classification

• Data encryption

Which feature of NLP involves converting spoken language into text?

• Key phrase extraction

• Entity recognition

• Speech recognition

• Sentiment analysis