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These are defined as languages with fewer than a million publicly-available translated sentence pairs. While it would be inaccurate, then, to say that Meta is building a universal translation system, it’s some of the most extensive work that’s ever been done in the field, particularly with what the company calls low-resource languages. It’s hard to determine precisely how many languages there are in the world, but one reliable estimate put the total at over 6,900. A “translation direction” refers to translations between language pairs, for example:Ĥ0,000 sounds like a lot, but if you take all the permutations of 200 languages translating between one another, they add up pretty fast. A paper the company put out this week says Meta’s tool works in more than 40,000 different translation directions between 200 different languages. Meta wants to help, and is pouring resources into its own translation tool, with the aim (among others) of making it far more expansive than Google’s.
LANGUAGE TRANSLATOR WITH VOICE SOFTWARE
Google’s tool works well-when the software was compared to human translators, it came close to matching the fluency of humans for some languages-but it’s limited to the more widely-spoken languages of the world. As travelers explore foreign lands, tools like Google’s Neural Machine Translation system may come in handy released in 2016, the software uses deep learning to draw links between words, figuring out how closely related they are, how likely they are to appear together in a sentence, and in what order.
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As the pandemic at long last winds down, international travel is picking up, with millions looking to make up for lost time.