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“There are things that you don’t have an explanation for why it works,” he says. But he admits that the latest improvements resulting from artificial intelligence can, at times, be mystifying. “There is no magic,” says Chris Wendt, who has been working on machine translation at Microsoft Research for nearly a decade. To this day, researchers are loath to predict how far they can advance the field. It would be the first of several boom and bust cycles to buffet the research community. Automatic translation, the panel concluded, “serves no useful purpose without postediting, and that with postediting the overall process is slow and probably uneconomical.”įunding for machine translation was drastically curtailed in the wake of the report. Early translations were “deceptively encouraging,” the Automatic Language Processing Advisory Committee wrote in a 1966 report. They returned with an unsparing critique. The government convened a panel of scientific experts to survey the quality of machine translations. One of the lead researchers predicted that legions of these machines might be used to monitor the entirety of Soviet communications “within perhaps 5 years.” The demonstration helped generate a surge of government funding, totalling $3 million in 1958, or $24 million in present-day dollars.īut by the 1960s, the bubble had burst. Cold War footage from 1954 captured one of the earliest machine translators in action. There’s no shortage of false summits in the history of translation.
“It doesn’t work if you have a lot of fuel and a small engine.” The few companies that can combine the two, however, may blast ahead. “It doesn’t work if you have a giant engine and only a little fuel,” he says. Andrew Ng, Baidu’s chief scientist likens what’s coming next to the space race. That leaves a handful of search giants-Microsoft, Google and Baidu-racing to fine-tune the technology. And the forthcoming release of the Apple Watch, a powerful computer with echoes of Dick Tracey’s famous wrist wear, has some speculating that near-instant translation might be the nascent wearables market’s killer app. Baidu, the so-called Google of China, has had a similar feature available in its home market for several years. Late last year, Google announced its translation app for text would include a “conversation mode” for the spoken word. (The Redmond, Washington-based tech giant bought Skype for $8.5 billion in 2011.) The program is expected to reach a major milestone near the end of March. Which is why Microsoft released a preview version of Skype Translator to a limited number of users last December. “The more data you have, the better you’re going to do,” explains Lane Schwartz, a linguistics professor at the University of Illinois.
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The current crop of translation software gets smarter, researchers and programmers say, the more it absorbs.
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What has changed from previous generations is that the underlying technology thrives through use, trial and error, recorded and reviewed, ad nasueam. Now, advances in so-called machine learning-computer programs that can essentially self-teach with enough exposure to spoken language-hope for a universal translator is increasingly replacing anxiety. But as practical reality, the idea has been perennially delayed.
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And in more recent decades, firms ranging from NEC to Jibbigo have periodically tried to crack the problem. In the 1930s, two inventors filed patents for “mechanical dictionaries” promising to translate words in real time. The granodiorite slab announcing the kingly reign of Ptolemy V in Egypt circa 196 BC, better known as the Rosetta Stone, might be considered an early stab at the idea. The concept of a universal translator has long been a fixture of science fiction, not to mention a dream of inventors and linguists since long before computers existed. Researchers working on automatic translation technology like this are familiar with this blend of hope and anxiety. “I’m thinking, ‘Get out of here!’” Pall recalls, laughing. Pall, on the other hand, was flustered as his jitters about the room metastasized to two presenters who were whispering to one another nearby throughout the demonstration. The audience murmured in astonishment, but the program didn’t falter as it shot back a translation from German to English. Roughly a second after Pall Spoke, subtitles in German and English appeared at the bottom of the screen, and a synthetic Siri-like voice read the words aloud to the German caller. An audience of several hundred reporters and industry insiders watched on as Pall and a native German speaker held a nearly flawless conversation through the company’s prototype of Skype Translator. If you don't get the confirmation within 10 minutes, please check your spam folder. Click the link to confirm your subscription and begin receiving our newsletters. For your security, we've sent a confirmation email to the address you entered.
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