In the past, subtitles were either pre-programmed for video formats, or there was a writer writing an instant caption that was broadcast on TV, but now Live Captions will change this situation with just a few taps on the screen, whereby any user will be able to get subtitles Instant and accurate audio and video. Read also A digital person helps the World Cup fans.. AI programs dominate Milipol Qatar’s activities Online games show the dangers of emotion recognition technologies using artificial intelligence The future of jobs in a time of pandemics, robotics, artificial intelligence and alternative energy Social media platforms use artificial intelligence to combat cyber bullying
Google Live Captions is a type of Natural Language Processing or NLP technology, a form of artificial intelligence that uses algorithms to facilitate an “interaction” of some kind between people and machines. NLP helps us decode human languages into machine languages .
The history of intelligent computing
To understand the history of NLP, we have to go back to one of the most innovative scientists of the modern era. Alan Turing. In 1950, Turing published “Computing Machines and Intelligence”, which discussed the idea of conscious and thinking computers, claimed that there were no convincing arguments against the idea that machines could think like humans, and proposed the “imitation game”, now known as the “Turing test”, He proposed a way to measure whether or not an AI could think on its own, and if it could correctly trick a human into believing that a human had a certain probability, it could be considered intelligent.
Between 1964 and 1966 the German scientist Joseph Weisenbaum wrote a neuro- linguistic programming algorithm, known as ELIZA, that used pattern-matching techniques to create a conversation. For example, in the script of a conversation with a “doctor” computer, if a patient says to the computer, “My head hurts,” the computer would respond to the doctor with a similar phrase like “Why does your head hurt?” It now gives Elisa one of the oldest chatbots.
The 1980s were a major turning point in the production of NLP; In the past, NLP systems such as ELISA formed conversations based on a complex set of rules, and AI could not “think” on its own, and instead was somewhat like a chatbot, using “canned” responses to fit context.
By the late 1980s, NLP focused on statistical models that helped her form conversations based on probability.
