In response to this, Facebook has launched DeepText, a “natural language processing engine that comprehends the textual content of several thousand posts per second, spanning more than 20 languages”, as reported by International Business Times. In short? A large-scale algorithm database could serve as an important backbone towards creating independent AI that the market responds to. In a blog post announcing DeepText, Facebook employees Ahmad Abdulkader, Aparna Lakshmiratan, and Joy Zhang write: The purpose of DeepText is not just product based – it’s Facebook’s way of understanding and improving the cross-cultural connection that its users have. With having a database that takes note of the language rhythms, connections can “span multiple languages quickly, with minimal engineering effort”. Though the announcement of DeepText doesn’t include physical products, the new algorithm system is still exciting. It shows that Facebook’s investment into the AI space isn’t focused solely on the short-term, and that the ways that AI can be incorporated into our lives can vary on various levels.
