5 Algorithms Uniting AI And Foreign Language Learning
Posted February 4th 2022
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Just like any other innovative technologies, AI is persistently incorporated into the various industries of our daily routine: healthcare, hospitality, finance & banking, education, and more. Needless to say, the AI implementation allows to automate and diversify different processes, enhance its management and improvement, open up new prospects for industry development, and lots of other benefits that outcome of the industry-specific needs and goals. According to Deloitte, 90% of seasoned AI adopters say that “AI is very or critically important to their business success today”
Today we will take a look at the most critical skill that every person needs to learn before developing herself in any industry — foreign learning. And, of course, we’ll learn the main algorithms of how AI can improve and simplify second language learning, and why it’s so critical for establishing an effective learning process.
Let’s get it started!
Taken from: https://fortune.com
Artificial Intelligence and Second Language Learning: Main Information
According to the general definition, artificial intelligence (or AI) is a term that refers to the machines which emulate the behavior of intelligent beings. In the case of language teaching, AI is mostly used for emulating that of a teacher who introduces the main knowledge base for its learners.
In fact, artificial intelligence algorithms are now widely utilized for different kinds of foreign language eLearning processes. For example, they are used for language grammar theory improvement, specific exercises and tests creating, mistakes and spelling issues correcting, etc. AI-powered solutions for learners can automatically extract unstructured data from several sources and classify it using an ML algorithm of modest complexity. The development of such an AI application may cost $100,000-$200,000.