Google’s AI translation system is approaching human-level accuracy

Google is one of the leading providers of artificial intelligence-assisted language translation, and the company now says a new technique for doing so is vastly improving the results. The company’s AI team calls it the Google Neural Machine Translation system, or GNMT, and it initially provided a less resource-intensive way to ingest a sentence in one language and produce that same sentence in another language. Instead of digesting each word or phrase as a standalone unit, as prior methods do, GNMT takes in the entire sentence as a whole. “The advantage of this approach is that it requires fewer engineering design choices than previous Phrase-Based translation systems,” writes Quoc V. Le and Mike Schuster, researchers on the Google Brain team. When the technique was first employed, it was able to…


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