Natural language processing

Natural Language Processing (NLP) is one of the most rapidly developing areas of artificial intelligence, situated at the intersection of linguistics, computer science, and machine learning. The goal of NLP is to enable computers to process and analyze vast amounts of text and voice data in human languages as effectively as a human does, and in some tasks, even better. From simple tasks like part-of-speech tagging and named entity recognition to complex ones – machine translation, summarizing long documents, answering questions, and conducting free-form conversations. NLP is at the core of many technologies we encounter daily: voice assistants on smartphones and smart speakers, automatic text and web page translators, spam filtering systems in email, recommendation systems analyzing customer reviews, and, of course, complex dialogue systems and chatbots, including the most advanced language models. Developing NLP systems requires a deep understanding of both linguistic principles and machine learning algorithms. Modern approaches often use deep neural networks to build models capable of capturing subtle language nuances, context, and even emotional tone. This page features AI tools specializing in various aspects of natural language processing. Explore tools for text analysis, speech synthesis and recognition, machine translation, sentiment analysis, summarization, and other tasks related to understanding and generating human language.