In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find love. At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation.  

Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google's version of this technique. At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

Today we’re putting Neural Machine Translation into action with a total of eight language pairs to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries!

With this update, Google Translate is improving more in a single leap than we’ve seen in the last ten years combined. But this is just the beginning. While we’re starting with eight language pairs within Google Search  the Google Translate app, and website; our goal is to eventually roll Neural Machine Translation out to all 103 languages and surfaces where you can access Google Translate.

And there’s more coming today too -- Google Cloud Platform, our public cloud service, offers Machine Learning APIs that make it easy for anyone to use our machine learning technology. Today, Google Cloud Platform is also making the system behind Neural Machine Translation available for all businesses through Google Cloud Translation API. You can learn more about it here.

Today’s step towards Neural Machine Translation is a significant milestone for Google Translate, but there’s always more work to do and we’ll continue to learn over time. We’ll also continue to rely on  Translate Community, where language loving multilingual speakers can help share their language by contributing and reviewing translations. We can’t wait for you to start translating and understanding the world just a little bit better.

In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find love. At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation.  

Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google's version of this technique. At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

Today we’re putting Neural Machine Translation into action with a total of eight language pairs to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries!

With this update, Google Translate is improving more in a single leap than we’ve seen in the last ten years combined. But this is just the beginning. While we’re starting with eight language pairs within Google Search  the Google Translate app, and website; our goal is to eventually roll Neural Machine Translation out to all 103 languages and surfaces where you can access Google Translate.

And there’s more coming today too -- Google Cloud Platform, our public cloud service, offers Machine Learning APIs that make it easy for anyone to use our machine learning technology. Today, Google Cloud Platform is also making the system behind Neural Machine Translation available for all businesses through Google Cloud Translation API. You can learn more about it here.

Today’s step towards Neural Machine Translation is a significant milestone for Google Translate, but there’s always more work to do and we’ll continue to learn over time. We’ll also continue to rely on  Translate Community, where language loving multilingual speakers can help share their language by contributing and reviewing translations. We can’t wait for you to start translating and understanding the world just a little bit better.

In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find love. At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation.  

Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google's version of this technique. At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

Today we’re putting Neural Machine Translation into action with a total of eight language pairs to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries!

With this update, Google Translate is improving more in a single leap than we’ve seen in the last ten years combined. But this is just the beginning. While we’re starting with eight language pairs within Google Search  the Google Translate app, and website; our goal is to eventually roll Neural Machine Translation out to all 103 languages and surfaces where you can access Google Translate.

And there’s more coming today too -- Google Cloud Platform, our public cloud service, offers Machine Learning APIs that make it easy for anyone to use our machine learning technology. Today, Google Cloud Platform is also making the system behind Neural Machine Translation available for all businesses through Google Cloud Translation API. You can learn more about it here.

Today’s step towards Neural Machine Translation is a significant milestone for Google Translate, but there’s always more work to do and we’ll continue to learn over time. We’ll also continue to rely on  Translate Community, where language loving multilingual speakers can help share their language by contributing and reviewing translations. We can’t wait for you to start translating and understanding the world just a little bit better.

In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find love. At the start, we pioneered large-scale statistical machine translation, which uses statistical models to translate text. Today, we’re introducing the next step in making Google Translate even better: Neural Machine Translation.  

Neural Machine Translation has been generating exciting research results for a few years and in September, our researchers announced Google's version of this technique. At a high level, the Neural system translates whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar. Since it’s easier to understand each sentence, translated paragraphs and articles are a lot smoother and easier to read. And this is all possible because of end-to-end learning system built on Neural Machine Translation, which basically means that the system learns over time to create better, more natural translations.

Today we’re putting Neural Machine Translation into action with a total of eight language pairs to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries!

With this update, Google Translate is improving more in a single leap than we’ve seen in the last ten years combined. But this is just the beginning. While we’re starting with eight language pairs within Google Search  the Google Translate app, and website; our goal is to eventually roll Neural Machine Translation out to all 103 languages and surfaces where you can access Google Translate.

And there’s more coming today too -- Google Cloud Platform, our public cloud service, offers Machine Learning APIs that make it easy for anyone to use our machine learning technology. Today, Google Cloud Platform is also making the system behind Neural Machine Translation available for all businesses through Google Cloud Translation API. You can learn more about it here.

Today’s step towards Neural Machine Translation is a significant milestone for Google Translate, but there’s always more work to do and we’ll continue to learn over time. We’ll also continue to rely on  Translate Community, where language loving multilingual speakers can help share their language by contributing and reviewing translations. We can’t wait for you to start translating and understanding the world just a little bit better.

Of the 500 million+ people who use Google Translate, more than 9 in 10 live outside the U.S. We've talked with thousands of you in India, Indonesia, Brazil, and Thailand to learn what works and what doesn’t—and today we’re rolling out some big improvements.

First, say hello to Tap to Translate on Android. We know millions of you painstakingly copy-paste text between Google Translate and other apps. Now, you can just copy the text of a chat, comment, song lyric, etc. in whichever app you’re using, and a translation will pop up right there—no need to switch apps.

Watch the video to learn more. Tap to Translate works for all 103 of Google Translate’s languages on any Android phone running Jellybean (4.2) and above.

Next, Offline Mode now works on iOS, and joins Android in using small offline packages. We know that many of you found the previous packages too big to download on unreliable data connections or to keep on your phone’s limited storage. That’s why we shrunk them by 90 percent, to a much more manageable 25 MB each.

Offline Mode is easy to set up: Just tap the arrow next to the language name to download the package for that language, and then you’ll be ready to do text translations whether you’re online or not—and it works with Tap to Translate too. We’ve just added a Filipino language pack, bringing our total number of offline languages to 52.

Finally, we’re adding Word Lens in Chinese. It’s our 29th language for instant visual translation, and it reads both to and from English, for both Simplified and Traditional Chinese. Try it on menus, signs, packages, and other printed text. As with all Word Lens languages, it works offline.

With Tap to Translate, improved Offline Mode, and Word Lens in Chinese, we hope you’ll find the latest version of Google Translate a helpful companion. These updates are rolling out over the next few days.

Of the 500 million+ people who use Google Translate, more than 9 in 10 live outside the U.S. We've talked with thousands of you in India, Indonesia, Brazil, and Thailand to learn what works and what doesn’t—and today we’re rolling out some big improvements.

First, say hello to Tap to Translate on Android. We know millions of you painstakingly copy-paste text between Google Translate and other apps. Now, you can just copy the text of a chat, comment, song lyric, etc. in whichever app you’re using, and a translation will pop up right there—no need to switch apps.

Watch the video to learn more. Tap to Translate works for all 103 of Google Translate’s languages on any Android phone running Jellybean (4.2) and above.

Next, Offline Mode now works on iOS, and joins Android in using small offline packages. We know that many of you found the previous packages too big to download on unreliable data connections or to keep on your phone’s limited storage. That’s why we shrunk them by 90 percent, to a much more manageable 25 MB each.

Offline Mode is easy to set up: Just tap the arrow next to the language name to download the package for that language, and then you’ll be ready to do text translations whether you’re online or not—and it works with Tap to Translate too. We’ve just added a Filipino language pack, bringing our total number of offline languages to 52.

Finally, we’re adding Word Lens in Chinese. It’s our 29th language for instant visual translation, and it reads both to and from English, for both Simplified and Traditional Chinese. Try it on menus, signs, packages, and other printed text. As with all Word Lens languages, it works offline.

With Tap to Translate, improved Offline Mode, and Word Lens in Chinese, we hope you’ll find the latest version of Google Translate a helpful companion. These updates are rolling out over the next few days.

Of the 500 million+ people who use Google Translate, more than 9 in 10 live outside the U.S. We've talked with thousands of you in India, Indonesia, Brazil, and Thailand to learn what works and what doesn’t—and today we’re rolling out some big improvements.

First, say hello to Tap to Translate on Android. We know millions of you painstakingly copy-paste text between Google Translate and other apps. Now, you can just copy the text of a chat, comment, song lyric, etc. in whichever app you’re using, and a translation will pop up right there—no need to switch apps.

Watch the video to learn more. Tap to Translate works for all 103 of Google Translate’s languages on any Android phone running Jellybean (4.2) and above.

Next, Offline Mode now works on iOS, and joins Android in using small offline packages. We know that many of you found the previous packages too big to download on unreliable data connections or to keep on your phone’s limited storage. That’s why we shrunk them by 90 percent, to a much more manageable 25 MB each.

Offline Mode is easy to set up: Just tap the arrow next to the language name to download the package for that language, and then you’ll be ready to do text translations whether you’re online or not—and it works with Tap to Translate too. We’ve just added a Filipino language pack, bringing our total number of offline languages to 52.

Finally, we’re adding Word Lens in Chinese. It’s our 29th language for instant visual translation, and it reads both to and from English, for both Simplified and Traditional Chinese. Try it on menus, signs, packages, and other printed text. As with all Word Lens languages, it works offline.

With Tap to Translate, improved Offline Mode, and Word Lens in Chinese, we hope you’ll find the latest version of Google Translate a helpful companion. These updates are rolling out over the next few days.

Of the 500 million+ people who use Google Translate, more than 9 in 10 live outside the U.S. We've talked with thousands of you in India, Indonesia, Brazil, and Thailand to learn what works and what doesn’t—and today we’re rolling out some big improvements.

First, say hello to Tap to Translate on Android. We know millions of you painstakingly copy-paste text between Google Translate and other apps. Now, you can just copy the text of a chat, comment, song lyric, etc. in whichever app you’re using, and a translation will pop up right there—no need to switch apps.

Watch the video to learn more. Tap to Translate works for all 103 of Google Translate’s languages on any Android phone running Jellybean (4.2) and above.

Next, Offline Mode now works on iOS, and joins Android in using small offline packages. We know that many of you found the previous packages too big to download on unreliable data connections or to keep on your phone’s limited storage. That’s why we shrunk them by 90 percent, to a much more manageable 25 MB each.

Offline Mode is easy to set up: Just tap the arrow next to the language name to download the package for that language, and then you’ll be ready to do text translations whether you’re online or not—and it works with Tap to Translate too. We’ve just added a Filipino language pack, bringing our total number of offline languages to 52.

Finally, we’re adding Word Lens in Chinese. It’s our 29th language for instant visual translation, and it reads both to and from English, for both Simplified and Traditional Chinese. Try it on menus, signs, packages, and other printed text. As with all Word Lens languages, it works offline.

With Tap to Translate, improved Offline Mode, and Word Lens in Chinese, we hope you’ll find the latest version of Google Translate a helpful companion. These updates are rolling out over the next few days.