Natural Language Processing (NLP) is a field that focuses on helping computers understand and work with human language. This includes tasks like answering questions, translating languages, summarizing texts, recognizing speech, and more. It combines elements from linguistics, artificial intelligence (AI), and computer science to achieve these goals.
Language models are tools used in NLP to understand and predict language patterns. They work by learning how often words appear in specific sequences, which helps them guess the likelihood of different phrases. These models are useful for tasks like recognizing speech, translating text, and correcting spelling errors.
The Natural Language Toolkit (NLTK) is a popular Python library that helps with processing human language data. It includes tools for tasks like breaking down text into words, classifying text, and understanding the meaning of words. NLTK also provides examples and visual tools to help you get started with NLP.
Text similarity measures how closely related two pieces of text are. This is important for tasks like finding similar documents, comparing different texts, and checking for duplicate content.
NLP can be used to predict what text comes next based on the words that came before it. This is useful for completing sentences, suggesting the next word, and other applications where predicting language is helpful.
Welcome to our comprehensive collection of programming language cheatsheets! Whether you're a seasoned developer or a beginner, these quick reference guides provide essential tips and key information for all major languages. They focus on core concepts, commands, and functions—designed to enhance your efficiency and productivity.
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