Facebook claims it found faster way to translate through AI

In order to break language barriers, Facebook announced a new machine learning translation method, claiming it to be nine times faster than other competitors.

By: IANS | San Francisco | Updated: May 10, 2017 11:34:24 am
Facebook, machine learning translation method, Artificial intelligence,  news type data,  Recurrent neural networks, Convolutional neural networks, AI engineers, FAacebook AI engineers, Facebook environment, Technology, Technology news Recurrent Neural Networks analyse date sequentially while Convolution Neural Networks look at difference aspects of data simultaneously. (Image for representation, Source: AP)

In a bid to overcome language barriers, social networking giant Facebook has announced a new machine learning translation method, claiming it to be nine times faster than other competitors. Artificial intelligence (AI) has been already in place at Facebook for automatically translating status updates to other languages, but the company is making a transition from lab to app, The Verge reported on Tuesday.

“We’re currently talking with a product team to make this work in a Facebook environment. There are differences when moving from academic data to real environments in terms of language. The academic data is news-type data; while conversation on Facebook is much more colloquial,” the report quoted Facebook’s AI engineer David Grangier as saying.The new machine learning translation technique has not been implemented yet and exists as a research as of now. But Facebook has said that it will likely happen further down the line.

“Usually, AI-powered translation relies on what are called recurrent neural networks (RNNs), whereas this new research leverages convolutional neural networks (CNNs) instead,” Facebook’s AI engineers explained. RNNs analyse date sequentially, working left to right through a sentence in order to translate it word by word while CNNs look at difference aspects of data simultaneously — a style of computation that is much better and faster.

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“So translating with CNNs means tackling the problem more holistically and examining the higher-level structure of sentences. The [CNNs] build a logical structure, a bit like linguistics, on top of the text,” said Michael Auli, another Facebook AI engineer.

Facebook noted that the AI community were willing to improve upon the commonly used RNNs for translation — a method that has devoured tremendous efforts already. “The short answer is that people just hadn’t invested as much time in this, and we came up with some new developments that made it work better,” Grangier added.

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