Google Translate Hones Its Language Skills With Neural Machine Translation
Lost in translation? Translators are incredibly helpful, but can often be inaccurate or sound robotic. To combat this, Google just introduced its Neural Machine Translation which helps to make translations smoother and easier to read.
The Neural Machine Translation translates entire sentences instead of small pieces. It examines the broader context of the sentence in order to produce the more relevant translation. The result is a translation that uses proper grammar and does not sound like a Dalek. The Neural Machine Translation is an “end-to-end learning system built” that learns over time to develop more natural translations.
Google Translate will utilize the Neural Machine Translation with its eight most popular languages: English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean, and Turkish. These represent the native languages of around one-third of the world's population and account for roughly 35 percent of Google Translate’s inquiries. Neural Machine Translation will eventually be available for all 103 of their current languages.
Neural Machine Translation will also be available for all businesses through Google Cloud Translation API. The new edition will include the highest-quality model that Google currently has that will reduce translation errors by more than 55 to 85 percent and access to the eight most popular languages. The edition is tailored “for users who need precise, long-form translation services. Examples include livestream translations, high volume of emails and detailed articles and documents.” A standard, less expensive edition in 103 languages will also be available for purchase. Google Translate is available on desktop, Android, and iOS.
Corporations and kickstarters alike are continually trying to remove language barriers. New York-based company Waverly Labs announced this past spring the Pilot, the first smart earpiece which translates between users speaking different languages. The Pilot will initially be released in European-based Romance and Germanic languages, including English, Spanish, French, and Italian. If the product is successful, it will also be released in Slavic, Semitic, Hindi, and East Asian languages.
The Neural Machine Translation translates entire sentences instead of small pieces. It examines the broader context of the sentence in order to produce the more relevant translation. The result is a translation that uses proper grammar and does not sound like a Dalek. The Neural Machine Translation is an “end-to-end learning system built” that learns over time to develop more natural translations.
Google Translate will utilize the Neural Machine Translation with its eight most popular languages: English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean, and Turkish. These represent the native languages of around one-third of the world's population and account for roughly 35 percent of Google Translate’s inquiries. Neural Machine Translation will eventually be available for all 103 of their current languages.
Neural Machine Translation will also be available for all businesses through Google Cloud Translation API. The new edition will include the highest-quality model that Google currently has that will reduce translation errors by more than 55 to 85 percent and access to the eight most popular languages. The edition is tailored “for users who need precise, long-form translation services. Examples include livestream translations, high volume of emails and detailed articles and documents.” A standard, less expensive edition in 103 languages will also be available for purchase. Google Translate is available on desktop, Android, and iOS.
Corporations and kickstarters alike are continually trying to remove language barriers. New York-based company Waverly Labs announced this past spring the Pilot, the first smart earpiece which translates between users speaking different languages. The Pilot will initially be released in European-based Romance and Germanic languages, including English, Spanish, French, and Italian. If the product is successful, it will also be released in Slavic, Semitic, Hindi, and East Asian languages.
