Google Translate adds 24 languages using an incredible new technology
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At the Google I/O 2022 stage today, CEO Sundar Pichai announced that the company is supercharging Google Translate with 24 additional languages.
As Translate is already quite a robust product, all 24 new languages that are being added today happen to be used by demographics around the world who aren’t all that well represented in today’s tech landscape. Even then, the company argues that these languages are spoken by a combine populace of about 300 million people every day.
In order to augment Google Translate with these languages right now, Google is using a relatively new technology called Zero-Shot Machine Translation.
This impressive model is special because it has learned to translate these new languages by only looking at the languages themselves – meaning it hasn’t been shown any actual translation examples involving any of these languages. Google says that Zero-Shot Machine Translation has only looked at “monolingual text” – so, by just looking at text in any of these 24 languages, it seems to have gotten fluent enough so as to handle translations.
Impressive! Still, Google warns us that while this new tech is already delivering incredible results, it’s also not perfect quite yet.
But it sure will be better than nothing. Better than paying for a Guarani translator, that’s for use. What’s more, Google promises the model will only get better with time. If interested, here you can learn more about Zero-Shot Machine Translation.
Finally, here’s the complete list of all 24 new languages being added to Google Translate:
- Assamese, used by about 25 million people in Northeast India
- Aymara, used by about two million people in Bolivia, Chile and Peru
- Bambara, used by about 14 million people in Mali
- Bhojpuri, used by about 50 million people in northern India, Nepal and Fiji
- Dhivehi, used by about 300,000 people in the Maldives
- Dogri, used by about three million people in northern India
- Ewe, used by about seven million people in Ghana and Togo
- Guarani, used by about seven million people in Paraguay and Bolivia, Argentina and Brazil
- Ilocano, used by about 10 million people in northern Philippines
- Konkani, used by about two million people in Central India
- Krio, used by about four million people in Sierra Leone
- Kurdish (Sorani), used by about eight million people, mostly in Iraq
- Lingala, used by about 45 million people in the Democratic Republic of the Congo, Republic of the Congo, Central African Republic, Angola and the Republic of South Sudan
- Luganda, used by about 20 million people in Uganda and Rwanda
- Maithili, used by about 34 million people in northern India
- Meiteilon (Manipuri), used by about two million people in Northeast India
- Mizo, used by about 830,000 people in Northeast India
- Oromo, used by about 37 million people in Ethiopia and Kenya
- Quechua, used by about 10 million people in Peru, Bolivia, Ecuador and surrounding countries
- Sanskrit, used by about 20,000 people in India
- Sepedi, used by about 14 million people in South Africa
- Tigrinya, used by about eight million people in Eritrea and Ethiopia
- Tsonga, used by about seven million people in Eswatini, Mozambique, South Africa and Zimbabwe
- Twi, used by about 11 million people in Ghana
Questions & Answers
Q.What is the new technology Google Translate is using for these additional languages?
What is the new technology Google Translate is using for these additional languages?
A.
Google is employing a relatively new technology called Zero-Shot Machine Translation. This model learned to translate these languages by analysing the languages themselves, rather than through actual translation examples.
Q.How many people globally speak the 24 newly added languages?
How many people globally speak the 24 newly added languages?
A.
The 24 new languages are spoken by a combined populace of about 300 million people every day. These demographics are generally underrepresented in current technology landscapes.
Q.Are there any limitations or warnings regarding the accuracy of this new translation technology?
Are there any limitations or warnings regarding the accuracy of this new translation technology?
A.
Google warns that while the new technology is already delivering impressive results, it is not yet perfect. However, they anticipate the model will improve further with time.
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