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Facebook's DeepText AI could drive the new bot generation

The company is developing a machine learning AI that can understand natural human language.

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Facebook today announced that it’s developing a new machine-learning bot engine called DeepText, that can understanding natural language text with near perfect accuracy.

The AI can reportedly understand the language in several thousand Facebook posts a second, across over 20 languages. In a post on their developer forum, Facebook explained the engine is being developed to fully understand context in posts, regardless of how it’s framed. So far, text understanding is capable of recognising the topic of a post, a particular sport for example, or the names of celebrities and known personalities, and even match score cards. But what Facebook wants to do is build an AI with neural networks that can learn new words and slang on its own, to get a sense of what the world is talking about on the social network.

Facebook representatives said, in a company post, “The community on Facebook is truly global, so it's important for DeepText to understand as many languages as possible…. There are also variations within each language, as people use slang and different spellings to communicate the same idea. Using deep learning, we can reduce the reliance on language-dependent knowledge, as the system can learn from text with no or little preprocessing. This helps us span multiple languages quickly, with minimal engineering effort.”



And that language comprehension is now a big deal for Facebook, with nearly 2 billion users from a varied global community. And, as we’ve heard at developer conferences for Google, Microsoft and Facebook this year, bots are the goal for 2016. The companies want to build better digital assistants, that you can communicate with naturally. And for it to feel natural, bots need to be able to understand and respond to various languages and slang, Clearly, Deep Text is a big step in that direction.

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