This is the study of how machines are taught to read and understand human talk. It acts as a bridge between human communication and computer code.

Computers Learning Our Language

This process involves breaking a long sentence into smaller pieces, like individual words or phrases. It helps the computer analyze one small piece of information at a time.

Splitting Sentences Into Words

Computers often ignore small words like 'the' or 'is' because they do not add much unique meaning. Removing these helps the machine focus on the most important information.

Filtering Out Common Words

This involves stripping prefixes or suffixes off a word to find its root form. For example, 'running' and 'ran' are both simplified to 'run' for easier analysis.

Finding the Base Word

The computer learns to identify and highlight specific details like names of people, dates, or city locations. This makes it easier to pull facts out of large documents.

Spotting Names and Places

This technique helps a computer decide if a message or review is happy, angry, or neutral. It is widely used by companies to track customer satisfaction.

Detecting Moods and Emotions

Machines can automatically label text into specific groups, such as 'Spam' or 'Important.' This keeps your digital workspace organized and relevant.

Sorting Emails and Messages

Since computers only understand numbers, we must convert words into mathematical lists. This allows the machine to calculate how closely related different words are.

Turning Words into Math

This is how digital tools turn one language into another. The computer analyzes the meaning of whole sentences to make the translation sound natural.

Translating Languages Automatically

Digital helpers use these techniques to have back-and-forth conversations with humans. They try to understand your request and provide a helpful spoken or written answer.

Chatting with Digital Assistants

Modern computers can create original paragraphs or emails based on a short prompt. The machine predicts which word should come next to make the sentence make sense.

Writing Sentences with AI

This tool takes a long article and condenses it into a few key points. It saves time by highlighting only the most relevant parts of the story.

Shortening Long Documents

This allows computers to turn spoken audio into written text accurately. It is the technology that powers voice commands on smartphones and smart speakers.

Understanding Human Voice

Human language is tricky because of jokes and hidden meanings. Computers often struggle when the literal meaning of a sentence is different from the speaker's intent.

Natural Language Processing (NLP) Concepts