Tag Archives: Google Translate

Making the internet more inclusive in India

More than 400 million people in India use the internet, and more are coming online every day. But the vast majority of India’s online content is in English, which only 20 percent of the country’s population speaks—meaning most Indians have a hard time finding content and services in their language.

Building for everyone means first and foremost making things work in the languages people speak. That’s why we’ve now brought our new neural machine translation technology to translations between English and nine widely used Indian languages—Hindi, Bengali, Marathi, Gujarati, Punjabi, Tamil, Telugu, Malayalam and Kannada.

Neural machine translation translates full sentences at a time, instead of pieces of a sentence, using this broader context to help it figure out the most relevant translation. The result is higher-quality, more human sounding translations.

Just like it’s easier to learn a language when you already know a related language, our neural technology speaks each language better when it learns several at a time. For example, we have a whole lot more sample data for Hindi than its relatives Marathi and Bengali, but when we train them all together, the translations for all improve more than if we’d trained each individually.

NMT Translation India.jpg
Left: Phrase-based translation; right: neural machine translation

These improvements to Google Translate in India join several other updates we announced at an event in New Delhi today, including neutral machine translation in Chrome and bringing the Rajpal & Sons Hindi dictionary online so it’s easier for Hindi speakers to find word meanings right in search results. All these improvements help make the web more useful for hundreds of millions of Indians, and bring them closer to benefiting from the full value of the internet.

Source: Translate


Making the internet more inclusive in India

More than 400 million people in India use the internet, and more are coming online every day. But the vast majority of India’s online content is in English, which only 20 percent of the country’s population speaks—meaning most Indians have a hard time finding content and services in their language.

Building for everyone means first and foremost making things work in the languages people speak. That’s why we’ve now brought our new neural machine translation technology to translations between English and nine widely used Indian languages—Hindi, Bengali, Marathi, Gujarati, Punjabi, Tamil, Telugu, Malayalam and Kannada.

Neural machine translation translates full sentences at a time, instead of pieces of a sentence, using this broader context to help it figure out the most relevant translation. The result is higher-quality, more human sounding translations.

Just like it’s easier to learn a language when you already know a related language, our neural technology speaks each language better when it learns several at a time. For example, we have a whole lot more sample data for Hindi than its relatives Marathi and Bengali, but when we train them all together, the translations for all improve more than if we’d trained each individually.

NMT Translation India.jpg
Left: Phrase-based translation; right: neural machine translation

These improvements to Google Translate in India join several other updates we announced at an event in New Delhi today, including neutral machine translation in Chrome and bringing the Rajpal & Sons Hindi dictionary online so it’s easier for Hindi speakers to find word meanings right in search results. All these improvements help make the web more useful for hundreds of millions of Indians, and bring them closer to benefiting from the full value of the internet.

Source: Translate


Even better translations in Chrome, with one tap

Half the world’s webpages are in English, but less than 15 percent of the global population speaks it as a primary or secondary language. It’s no surprise that Chrome’s built-in Translate functionality is one of the most beloved Chrome features. Every day Chrome users translate more than 150 million webpages with just one click or tap.

Last year, Google Translate introduced neural machine translation, which uses deep neural networks to translate entire sentences, rather than just phrases, to figure out the most relevant translation. Since then we’ve been gradually making these improvements available for Chrome’s built-in translation for select language pairs. The result is higher-quality, full-page translations that are more accurate and easier to read.

Today, neural machine translation improvement is coming to Translate in Chrome for nine more language pairs. Neural machine translation will be used for most pages to and from English for Indonesian and eight Indian languages: Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu. This means higher quality translations on pages containing everything from song lyrics to news articles to cricket discussions.
translation.png
From left: A webpage in Indonesian; the page translated into English without neural machine translation; the page translated into English with neural machine translation. As you can see, the translations after neural machine translation are more fluid and natural.

The addition of these nine languages brings the total number of languages enabled with neural machine translations in Chrome to more than 20. You can already translate to and from English for Chinese, French, German, Hebrew, Hindi, Japanese, Korean, Portuguese, Thai, Turkish, Vietnamese, and one-way from Spanish to English.

We’ll bring neural machine translation to even more languages in the future. Until then, learn more about enabling Translate in Chrome in our help center.

Source: Translate


Even better translations in Chrome, with one tap

Half the world’s webpages are in English, but less than 15 percent of the global population speaks it as a primary or secondary language. It’s no surprise that Chrome’s built-in Translate functionality is one of the most beloved Chrome features. Every day Chrome users translate more than 150 million webpages with just one click or tap.

Last year, Google Translate introduced neural machine translation, which uses deep neural networks to translate entire sentences, rather than just phrases, to figure out the most relevant translation. Since then we’ve been gradually making these improvements available for Chrome’s built-in translation for select language pairs. The result is higher-quality, full-page translations that are more accurate and easier to read.

Today, neural machine translation improvement is coming to Translate in Chrome for nine more language pairs. Neural machine translation will be used for most pages to and from English for Indonesian and eight Indian languages: Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu. This means higher quality translations on pages containing everything from song lyrics to news articles to cricket discussions.
translation.png
From left: A webpage in Indonesian; the page translated into English without neural machine translation; the page translated into English with neural machine translation. As you can see, the translations after neural machine translation are more fluid and natural.

The addition of these nine languages brings the total number of languages enabled with neural machine translations in Chrome to more than 20. You can already translate to and from English for Chinese, French, German, Hebrew, Hindi, Japanese, Korean, Portuguese, Thai, Turkish, Vietnamese, and one-way from Spanish to English.

We’ll bring neural machine translation to even more languages in the future. Until then, learn more about enabling Translate in Chrome in our help center.

Source: Translate


Even better translations in Chrome, with one tap

Half the world’s webpages are in English, but less than 15 percent of the global population speaks it as a primary or secondary language. It’s no surprise that Chrome’s built-in Translate functionality is one of the most beloved Chrome features. Every day Chrome users translate more than 150 million webpages with just one click or tap.

Last year, Google Translate introduced neural machine translation, which uses deep neural networks to translate entire sentences, rather than just phrases, to figure out the most relevant translation. Since then we’ve been gradually making these improvements available for Chrome’s built-in translation for select language pairs. The result is higher-quality, full-page translations that are more accurate and easier to read.

Today, neural machine translation improvement is coming to Translate in Chrome for nine more language pairs. Neural machine translation will be used for most pages to and from English for Indonesian and eight Indian languages: Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu. This means higher quality translations on pages containing everything from song lyrics to news articles to cricket discussions.
translation.png
From left: A webpage in Indonesian; the page translated into English without neural machine translation; the page translated into English with neural machine translation. As you can see, the translations after neural machine translation are more fluid and natural.

The addition of these nine languages brings the total number of languages enabled with neural machine translations in Chrome to more than 20. You can already translate to and from English for Chinese, French, German, Hebrew, Hindi, Japanese, Korean, Portuguese, Thai, Turkish, Vietnamese, and one-way from Spanish to English.

We’ll bring neural machine translation to even more languages in the future. Until then, learn more about enabling Translate in Chrome in our help center.

Source: Translate


Bringing down the language barriers – making the internet more inclusive

There are currently over 400* million Internet users in India, but with only 20% of the population fluent in English, most Internet users have significant language barriers to getting the full value of the Internet. A speaker of Indian languages like Hindi or Tamil still has trouble finding content to read and or use services that they can use in their own languages.

To build rich and empowering experiences for everyone means first and foremost making things work in the languages people speak. Today, we’re taking a huge step forward by launching new set of products and features that will empower the Internet ecosystem to create more language content and better serve the needs of a billion Indians who’re coming online rapidly.

Neural Machine Translation: The world’s content, in your language
Starting today, when you use Google Translate, you might notice that the translation is more accurate and easier to understand, especially when translating full sentences. That’s because we’ve brought our new Neural Machine Translation technology to translations between English and nine widely used Indian languages — Hindi, Bengali, Marathi, Tamil, Telugu, Gujarati, Punjabi, Malayalam and Kannada.

Neural translation is a lot better than our old phrase-based system, translating full sentences at a time, instead of pieces of a sentence. 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. This new technique improves the quality of translation more in a single jump than we’ve seen in the last ten years combined.

Just like it’s easier to learn a language when you already know a related language, we’ve discovered that our neural technology speaks each language better when it learns several at a time. For example, we have a whole lot more sample data for Hindi than its relatives Marathi and Bengali, but when we train them all together, the translations for all improve more than if we’d trained each individually.

Screen Shot 2017-04-24 at 12.07.04 PM.png
Phrase based Translation      Neural Machine Translation

You can try, these out on iOS and Android Google Translate apps, at translate.google.co.in and through Google Search.

But how does this make the whole web better for everyone — Chrome has it covered!
That’s where Chrome’s built-in Translate functionality comes into play. Every day, more than 150 million web pages are translated by Chrome users through the magic of machine translations with one click or tap.  The Chrome team and the Google Translate team have worked together to bring the power of Neural Machine Translation to web content, making full-page translations more accurate and easier to read.

Today, we’re extending Neural Machine Translation built into Chrome to and from English for the same nine Indian languages (Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil Telugu and Hindi). This means higher quality translations of everything from song lyrics to news articles to cricket discussions.

            
Screen Shot 2017-04-24 at 5.10.07 PM.png

Gboard in 22 Indian Languages and more
Being able to type in your language of choice is as important as understanding content on the web. Today, we are ramping up support to include 11 new languages to the list of 11 existing Indian languages —with transliteration support—including Hindi, Bengali, Telugu, Marathi, Tamil, Urdu, and Gujarati.

Gboard has all the things you love about your Google Keyboard — speed and accuracy, Glide Typing and voice typing — plus Google Search built in. It also allows you to search and use Google Translate right in your keyboard (just tap the “G” button to get started). And—as a reminder—Gboard already has a Hinglish language option for those of you who often switch back and forth between Hindi and English.

With today’s update, we’ve also dropped in a new text editing tool that makes it easier to select, copy and paste, plus new options for resizing and repositioning the keyboard so it fits to your hand and texting style. And to top it all off, this Gboard update comes with some under-the-hood improvements including better accuracy and predictions while you type

Like Google Indic Keyboard, Gboard has auto-correction and prediction in these new languages, plus two layouts for each—one in the native language script and one with the QWERTY layout for transliteration, which lets you spell words phonetically using the QWERTY alphabet and get text output in your native language script. For example, type “aapko holi ki hardik shubhkamnay” and get “आपको होली की हार्दिक शुभकामनायें ”.

hindi_translit_fixed.gif                                           

This is available today on Google Play Store, so make sure you’re running the latest version of the app.

Auto-translated local reviews in Maps
The local information across Google Search and Maps helps millions of people, every day, to discover and share great places. Our goal is to build a map tailored to each user and their likes and preferences and make it work for everyone in their local languages. Starting today, we’ll automatically add translations to local reviews on Google Maps, both on mobile and desktop. With this update, millions of these reviews – from restaurants to cafes or hotels – will appear in your own language.

All you need to do is launch Google Maps, open reviews, and they’ll appear in both the original language as well as the language you set on your device. So for instance if you speak Tamil and travel to Kolkata, and you want to see reviews of the popular restaurants in Kolkata, you can now automatically see reviews both in your own language and the original language of the review.

Hindi Dictionary in Search
When you search for the meaning of a word in English, for instance “meaning of nostalgic”, you’ll get a dictionary straight in Google Search. Today, in collaboration with the Oxford University Press, we’re bringing the Rajpal & Sons Hindi dictionary online. This new experience supports transliteration so you don’t even need to switch to a Hindi keyboard. So  the next time when you’d like to know more about a word, say Nirdeshak, you can just type in Nirdeshak ka matlab in Search, and you’ll instantly get to see word meanings and dictionary definitions on the search results page, including English translations.

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While all these new products and improvements takes us closer to make the web more useful for Indian Language users.  We realise that we can’t do this alone, we need India’s internet ecosystem to come together to build apps and more content to make India’s Internet that serve its users need. And one way to effectively get the Internet Industry together to solve for local language users is to really understand the users, understand their needs to shape India’s Internet landscape. We have worked with KPMG India to compile an industry report titled “Indian Languages - Defining India’s Internet” - which provides rich insights on what we need to do together as an Industry to bring the Internet alive for every Indian.

Source: *Indian Languages - Defining India’s Internet”  Report

Posted By Barak Turovsky, Group Product Manager, Google Translate




The Arrival of our 32nd Word Lens Language, Heptapod B

We’re honored to have partnered with Dr. Louise Banks, esteemed linguistics professor, to develop instant camera translation for our 32nd language, Heptapod B. Following our experience with logograms in Chinese and Japanese, as well as the many characters containing circles in Korean, we were ready to blend our expertise in low-memory-footprint convolutional modeling and Dr. Banks’ linguistic background to the deciphering of circular logograms in the Word Lens feature in the Google Translate app.

Translate_Arrival_1.png

The challenge with understanding Heptapod B is its nonlinear orthography. Fortunately, Google's neural machine translation system employs an encoder/decoder system that internally represents sentences as high-dimensional vectors. These vectors map well to the non-linear orthography of the Heptapod language and they are really the enabling technical factor in translating Heptapod B.

We interpret Heptapod B into English, Chinese, Danish, Japanese, Urdu, Russian, French, Spanish and Arabic. As with our other Word Lens languages, it works offline, which is really handy if you happen to need to read a circular logogram in an isolated location. Dr. Banks assures us that the app will continue to work for at least 3,000 years.

Translate_Arrival_2.png

Communicating across language (and glass) barriers can be a rather alienating experience. While learning a new writing system can be quite rewarding and even a mind-altering experience, not everyone has time for that. So whether the world’s fate hangs in the balance, or if you’re simply trying to discern whether your coffee stain ring means something, we wish you success as you integrate this tool into the story of your life.

(Okay, if you haven’t guessed already... we’re just having some fun here. But we really are eager to bring Word Lens and Neural translation to more languages,
so stay tuned.)

Source: Translate


The Arrival of our 32nd Word Lens Language, Heptapod B

We’re honored to have partnered with Dr. Louise Banks, esteemed linguistics professor, to develop instant camera translation for our 32nd language, Heptapod B. Following our experience with logograms in Chinese and Japanese, as well as the many characters containing circles in Korean, we were ready to blend our expertise in low-memory-footprint convolutional modeling and Dr. Banks’ linguistic background to the deciphering of circular logograms in the Word Lens feature in the Google Translate app.

Translate_Arrival_1.png

The challenge with understanding Heptapod B is its nonlinear orthography. Fortunately, Google's neural machine translation system employs an encoder/decoder system that internally represents sentences as high-dimensional vectors. These vectors map well to the non-linear orthography of the Heptapod language and they are really the enabling technical factor in translating Heptapod B.

We interpret Heptapod B into English, Chinese, Danish, Japanese, Urdu, Russian, French, Spanish and Arabic. As with our other Word Lens languages, it works offline, which is really handy if you happen to need to read a circular logogram in an isolated location. Dr. Banks assures us that the app will continue to work for at least 3,000 years.

Translate_Arrival_2.png

Communicating across language (and glass) barriers can be a rather alienating experience. While learning a new writing system can be quite rewarding and even a mind-altering experience, not everyone has time for that. So whether the world’s fate hangs in the balance, or if you’re simply trying to discern whether your coffee stain ring means something, we wish you success as you integrate this tool into the story of your life.

Source: Translate


The Arrival of our 32nd Word Lens Language, Heptapod B

We’re honored to have partnered with Dr. Louise Banks, esteemed linguistics professor, to develop instant camera translation for our 32nd language, Heptapod B. Following our experience with logograms in Chinese and Japanese, as well as the many characters containing circles in Korean, we were ready to blend our expertise in low-memory-footprint convolutional modeling and Dr. Banks’ linguistic background to the deciphering of circular logograms in the Word Lens feature in the Google Translate app.

Translate_Arrival_1.png

The challenge with understanding Heptapod B is its nonlinear orthography. Fortunately, Google's neural machine translation system employs an encoder/decoder system that internally represents sentences as high-dimensional vectors. These vectors map well to the non-linear orthography of the Heptapod language and they are really the enabling technical factor in translating Heptapod B.

We interpret Heptapod B into English, Chinese, Danish, Japanese, Urdu, Russian, French, Spanish and Arabic. As with our other Word Lens languages, it works offline, which is really handy if you happen to need to read a circular logogram in an isolated location. Dr. Banks assures us that the app will continue to work for at least 3,000 years.

Translate_Arrival_2.png

Communicating across language (and glass) barriers can be a rather alienating experience. While learning a new writing system can be quite rewarding and even a mind-altering experience, not everyone has time for that. So whether the world’s fate hangs in the balance, or if you’re simply trying to discern whether your coffee stain ring means something, we wish you success as you integrate this tool into the story of your life.

(Okay, if you haven’t guessed already... we’re just having some fun here. But we really are eager to bring Word Lens and Neural translation to more languages,
so stay tuned.)

Source: Translate


How Google Translate is making learning English fun in Israel

Using neural machine translation, we’ve just updated Hebrew and Arabic languages on Google Translate. But what you can’t see on the surface is that these translations also improved thanks to students across Israel. As English as a Foreign Language (EFL) students used the Google Translate Community platform to learn and practice their English, they actually improved translations for everyone in the process.

Adele Raemer is an Israeli English teacher, a trainer for English as a Foreign Language (EFL) and digital pedagogy at the Israel Ministry of Education; she’s also a Google Certified Innovator, a Google Educator Group leader, and blogger.

Adele Raemer.png
Adele Raemer, English as a Foreign Language teacher and trainer at Israel’s Ministry of Education

When Adele first used the Translate Community as tool to teach English, she was impressed by how eager and motivated her students became. She wanted other students to share in the experience, so with the support of the Ministry of Education EFL superintendent and our education team, she turned this into a challenge for classrooms across Israel. The goal was to help students work on their vocabulary, develop critical thinking and translating skills and enhanced their engagement with English studies.

Last spring, 51 classes from across the country joined our Google Translate Community pilot competition. A month later, the class with the highest number of collective contributions joined us for a visit to our Google Israel office. The teachers used the challenge as a fun activity on top of their regular curriculum. As Mazi, an English teacher at “Hodayot” high school, said: “The experience of participating in the competition was very positive and enriched my teaching. Any time that a student finished a task early or had a bit of time at the end of the lesson, they could be productive by going into the site and translating!”

Translate_Israel_Group.png
Winning class from Jadeidi-Makr science school who won a visit to the Google Israel office

Inspired by the success of Adele's pilot program, the Translate Community team then built new tools that allowed group contributions and measured results more accurately. With new supporting lesson plans, more than 150 classes participated in a three month competition for Hebrew-English and Arabic-English. From these two competitions, 3,500 students translated and verified more than 4 million words and phrases.

Translate_Israel_1.png
English teacher from the winning school, “Nitzanim” school, with a student translating during a lesson

We’ve incorporated this multi-lingual knowledge into the training for our cutting-edge neural technology, which we’ve just launched today for Hebrew and Arabic. That means every one of these contributions helped improve translations for millions of people doing translations to or from these related languages.

We were thrilled to see the great impact that these students had on Translate itself. It’s so cool to see how the next generation of students is working hand in hand with the next generation of machine translation technology!

Source: Translate