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Meta’s AI Machine Translation Research Helps Break Language Barriers
Meta has announced that it has built and open sourced ‘No Language Left Behind’ NLLB-200, a single AI model that is the first to translate across 200 different languages, including 55 African languages with state-of-the-art results.
Meta is using the modelling techniques and learnings from the project to improve and extend translations on Facebook, Instagram, and Wikipedia.
In an effort to develop high-quality machine translation capabilities for most of the world’s low-resource languages, this single AI model was designed with a focus on African languages. They are challenging from a machine translation perspective.
AI models require lots and lots of data to help them learn, and there’s not a lot of human translated training data for these languages. For example, there’s more than 20M people who speak and write in Luganda but examples of this written language are extremely difficult to find on the internet.
We worked with professional translators for each of these languages to develop a reliable benchmark which can automatically assess translation quality for many low-resource languages. We also work with professional translators to do human evaluation too, meaning people who speak the languages natively evaluate what the AI produced.
The reality is that a handful of languages dominate the web, so only a fraction of the world can access content and contribute to the web in their own language.
We want to change this by creating more inclusive machine translations systems – ones that unlock access to the web for the more than 4B people around the world that are currently excluded because they do not speak one of the few languages content is available in.
“It’s impressive how much AI is improving all of our services. We just open-sourced an AI model we built that can translate across 200 different languages — many of which aren’t supported by current translation systems.
“We call this project No Language Left Behind, and the AI modelling techniques we used are helping make high quality translations for languages spoken by billions of people around the world.
“To give a sense of the scale, the 200-language model has over 50 billion parameters, and we trained it using our new Research SuperCluster, which is one of the world’s fastest AI supercomputers.
“The advances here will enable more than 25 billion translations every day across our apps. Communicating across languages is one superpower that AI provides, but as we keep advancing our AI work it’s improving everything we do — from showing the most interesting content on Facebook and Instagram, to recommending more relevant ads, to keeping our services safe for everyone.,” said Meta CEO Mark Zuckerberg in a post on his Facebook profile.
Language is our culture, identity, and lifeline to the world. However, as high-quality translation tools don’t exist for hundreds of languages, billions of people today can’t access digital content or participate fully in conversations and communities online in their preferred or native languages. This is especially true for hundreds of millions of people who speak the many languages of Africa.
“Africa is a continent with very high linguistic diversity, and language barriers exist day to day. We are pleased to announce that 55 African languages will be included in this machine translation research, making it a major breakthrough for our continent,” Balkissa Ide Siddo, Public Policy Director for Africa said while speaking about the launch of the AI model.
“In the future, imagine visiting your favourite Facebook group, coming across a post in Igbo or Luganda, and being able to understand it in your own language with just a click of a button – that’s where we hope research like this leads us.
“Highly accurate translations in more languages could also help to spot harmful content and misinformation, protect election integrity, and curb instances of online sexual exploitation and human trafficking.”
While commenting on accessibility and inclusion in the pursuit of building an equitable metaverse, Ide Siddo added “At Meta, we are working today to ensure that as many people as possible will be able to access the new educational, social and economic opportunities that the next evolution of the internet will bring to future technology and an everyday living experience tomorrow.”
To confirm that the translations are high quality, Meta also created a new evaluation dataset, FLORES-200, and measured NLLB-200’s performance in each language. Results revealed that NLLB-200 exceeds the previous state of the art by an average of 44 percent.
Meta is also open-sourcing the NLLB-200 model and publishing a slew of research tools to enable other researchers to extend this work to more languages and build more inclusive technologies. Meta AI is also providing up to $200,000 of grants to non-profit organizations for real world applications for NLLB-200.
There are versions of Wikipedia in more than 300 languages, but most have far fewer articles than the 6+ million available in English. Following Meta’s partnership with the Wikimedia Foundation, the non-profit organization that hosts Wikipedia and other free knowledge projects, modelling techniques and learnings from the NLLB research are now also being applied to translation systems used by Wikipedia editors.
Using the Wikimedia Foundation’s Content Translation Tool, articles can now be easily translated in more than 20 low-resource languages (those that don’t have extensive datasets to train AI systems), including 10 that previously were not supported by any machine translation tools on the platform.
Tech giants Google and Meta have called on the Australian government to delay a proposed bill that would ban children under 16 from accessing most social media platforms.
The companies argue that more time is needed to assess the bill’s impact and await results from an age-verification trial.
Prime Minister Anthony Albanese’s government aims to pass the legislation—one of the strictest globally on children’s social media use—by Thursday, the final day of the parliamentary year. Introduced last week, the bill was open for public submissions for just one day, drawing criticism for its expedited timeline.
The proposed law would require social media companies, rather than parents or children, to enforce age-verification measures, potentially using biometrics or government-issued identification. Companies found in breach could face fines of up to A$49.5 million ($32 million).
Meta criticised the bill as “inconsistent and ineffective” without clear results from the age-verification trial. Google echoed the sentiment, urging for a measured approach to ensure Australians understand the implications of the legislation.
TikTok raised “significant concerns” over the lack of consultation with experts, social media platforms, mental health organisations, and young people. “Novel policies must be drafted thoroughly to ensure their success,” the company stated.
Elon Musk’s X also opposed the bill, arguing it could infringe on children’s human rights, including their freedom of expression and access to information. Musk, a vocal advocate for free speech, accused the government of using the bill as a backdoor to control internet access.
The opposition Liberal Party has signalled support for the bill, while some independent lawmakers have criticised the government for rushing its passage. A Senate committee report on the bill is expected on Tuesday.
If passed, the bill will place Australia at the forefront of regulating children’s online activity, but its swift progression and potential implications have sparked a heated debate over privacy, freedom, and the role of government in digital spaces.
TECNO SPARK 30 city tour made a memorable stop at Ikeja City Mall on November 15th, bringing with it an infectious energy that electrified the entire city.
As the event unfolded, it was clear that this was more than just a product showcase – it was an immersive experience designed to thrill and delight.
The day’s festivities kicked off with the iconic TECNO SPARK 30 transformer bus, painted in bold red and blue hues, rolling into action.
The bus served as the hub for a games grotto, where fans immersed themselves in thrilling digital games and adventures.
Outside, the excitement spilled over, with attendees engaging in friendly competitions of Jenga, Monopoly, Ludo, and chess.
These games sparked laughter, playful banter, and a sense of camaraderie among strangers.
As the games heated up, so did the rewards. Purchasers of the TECNO SPARK 30 Pro enjoyed a N20,000 discount and a chance to win up to 100% cashback by participating in the games.
The atmosphere was electric, with cheers of victory, enthusiastic applause, and celebratory high-fives.
The excitement reached a fever pitch with the arrival of tech and lifestyle creator Kagan, accompanied by Big Brother Naija Season 9 stars Victoria and Ruthee.
The trio dove into the action, competing in games and claiming victory. They were awarded TECNO-branded gift items, earning cheers and applause from the thrilled crowd.
The event was an unforgettable experience, leaving a lasting impression on all who attended.
During peak shopping days, this threat intensifies.
Here’s what happens: with the surge in online deals, more employees may be shopping from their work computers, feeling that Cyber Monday is a legitimate time to do so.
This increases the risk of them clicking more freely and potentially exposing the organization to malicious links or phishing attacks.
To keep your organization safe, encourage your team to follow these simple tips:
• Don’t click deals in email that look too good to be true or are from businesses you don’t have accounts from – these could be phishing emails hoping to bait you into clicking links to bogus, malicious web sites.
This season, small steps can make a big difference in protecting against cyber threats.
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