General
Meta Builds AI Model to Translate 200 Languages
By Adedapo Adesanya
Meta, the parent company of Facebook, Instagram and WhatsApp, has built an open-source No Language Left Behind’ NLLB-200, a single AI model that is the first to translate about 200 languages, including 55 African languages.
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, the 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 are more than 20 million people who speak and write in Luganda but examples of this written language are extremely difficult to find on the internet.
Meta noted that it 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 said in a statement.
The CEO of Meta, Mr Mark Zuckerberg, in a post on his Facebook profile said – “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.”
On her part, Ms Balkissa Ide Siddo, Public Policy Director for Africa said, “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.
“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 per cent.
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.
Partnership with Wikipedia
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.
General
Ekiti Expresses Readiness for Special Agro-Industrial Processing Zones
By Adedapo Adesanya
The federal government has selected Ekiti State to participate in a Special Agro-Industrial Processing Zones (SAPZ) Phase Two Programme, an initiative supported by the African Development Bank (AfDB).
According to the Commissioner for Information in Ekiti State, Mr Taiwo Olatunbosun, the state’s inclusion in SAPZ Phase Two “is a clear acknowledgement of the government’s sustained efforts to reposition agriculture as a key driver of industrialisation, employment generation, and sustainable economic growth.”
“This programme will significantly enhance value addition, attract private sector investment, and improve livelihoods across Ekiti State,” he said.
He noted that the benefits of the SAPZ Programme would be far-reaching, with thousands of jobs expected to be created for young people, particularly in agro-processing and related industries.
The commissioner added that small and medium enterprises (SMEs) would also gain from strengthened value chains and improved access to new markets, thereby boosting their growth and contribution to the State’s economy.
“This initiative is not just about agriculture; it is about empowering our people especially our youth and SMEs to build sustainable livelihoods, improve food security, and drive Ekiti’s economic future,” he said.
“The state government is fully prepared to ensure the timely and effective implementation of the programme with the execution of Subsidiary Loan Agreements, establishment of a State Implementation Unit, compliance with environmental and social safeguards, such as compensation of Project Affected Persons at the Agro-Industrial Hub in Itapaji, as well as the opening of dedicated project accounts and preparation of procurement plans and annual work programmes.”
Mr Olatunbosun also disclosed that the SAPZ National Coordination Office has indicated plans to organize an onboarding workshop to provide technical guidance and support to participating states ahead of full implementation.
He reaffirmed Ekiti state’s readiness to collaborate closely with the Federal Government, development partners, relevant ministries, departments and agencies and the private sector to ensure the successful delivery of the SAPZ phase two programme.
The commissioner concluded that the programme aligns with Ekiti State’s broader vision of enhancing food security, strengthening agricultural value chains, and creating sustainable economic opportunities for its people, adding that the state remains committed to leveraging the initiative to drive inclusive growth and long-term prosperity.
General
Alkali Tasks Onne Customs Officers on Professional Ethics
By Bon Peters
The Customs Area Controller of Port Harcourt 11 Command, Onne Port Harcourt Rivers State, Comptroller Aliyu Mohammed Alkali, has emphasized the importance of maintaining a positive attitude and professional conduct among officers in the discharge of their legitimate duties.
Speaking on Wednesday at a Reputation Management Cascade Training at Area 11 Command, the Onne customs chief stressed the importance of discipline and professionalism in the Nigeria Customs Service (NCS).
He emphasised that every employee of the agency is an ambassador of the NCS and has a role to play in shaping its reputation.
“Reputation management training is designed to equip the officers and men with a right attitude and professional ethical conduct that will portray the Nigeria Customs Service in a good light in the discharge of their duties.
“Our image is shaped daily by our actions, decisions and interactions with the public and the stakeholders,” he stated, reiterating that the knowledge gained from the engagement will enhance professionalism, ethical conduct and public trust amongst the officers and men.
He tasked them to take the training seriously, insisting that the knowledge gained will reinforce the service commitment, integrity, accountability and service excellence.
The training featured presentations from resource persons serving in the command such as Deputy Comptroller of Customs Abbas Oladepo, Chief Superintendent of Customs Dennis Gotar, and Chief Superintendent of Customs Akinwale Fatoki.
The facilitators spoke about modules drawn from the Nigeria Customs Service’s Reputation Management Guide and the Service’s Golden 7 Cs.
There was a question and answer section as participants were engaged actively and provided feedback by stating their key takeaways.
The training received positive reviews, with participants acknowledging its relevance to their roles.
General
Kudirat Abiola’s Murder: Supreme Court Dismisses Hamza Al-Mustapha’s Trial
By Adedapo Adesanya
The Supreme Court has dismissed the trial of Major Hamza Al-Mustapha (rtd), the former Chief Security Officer (CSO) to the late Military Head of State, General Sani Abacha, in the murder of the late politician, Mrs Kudirat Abiola.
Mrs Abiola was the wife of the late businessman and politician, Mr MKO Abiola, the presumed winner of the June 12, 1993, presidential election that was annulled by former Military President, Mr Ibrahim Babangida.
She was murdered in Lagos on June 4, 1996, by some gunmen, who allegedly acted on the orders of the Sani Abacha’s military junta.
Later, Mr Al-Mustapha was accused and convicted. Investigations into the killing traced the killers’ bullets to his personal armoury.
Now, the trial of Mr Al-Mustapha in the murder charge brought against him by the Lagos State government was put to rest on Thursday by a five-member panel of Justices of the Supreme Court, headed by Justice Uwani Aba-Aji.
At the proceedings, where Lagos State was slated to re-open the trial, no legal representation appeared, and no process had been filed since 2014, when an order to re-open the case was granted in its favour.
Mr Paul Daudu, a Senior Advocate of Nigeria (SAN) representing Mr Al-Mustapha, informed the Justices that Lagos State had not taken any steps to implement the 2014 order to reopen the trial.
He said that not even a notice of appeal had been filed by Lagos as the appellant to demonstrate its seriousness in prosecuting the trial.
Mr Daudu noted that when the order to reopen the trial was granted in 2014, Lagos State was issued a 30-day ultimatum to file its notice of appeal, explaining that more than 11 years later, nothing had been done to comply with the order.
He, therefore, urged the court to hold that the appellant had abandoned the case and should have it dismissed in its entirety.
Justice Uwani Aba-Aji, who presided over the matter, sought to know if Lagos had been served with the hearing notice, a question answered in the affirmative by the Registrar of the Court.
In a brief ruling, the Supreme Court, in a unanimous decision, agreed that Lagos had lost interest in the matter and had consequently abandoned it.
Justice Aba-Aji held that nine years was long enough for the appellant to have filed a notice of appeal and the brief of appeal.
The court also expressed disapproval that no legal representation had been made by the state government, while no information was provided to the Court or the respondent, despite being served with the hearing notice since 2020.
Consequently, the matter marked SC/CR/45/2014 was dismissed. Another matter by the Lagos governor, marked SC/CR/6/2014, on the same trial was also dismissed on the same ground.
The Supreme Court had in 2014, in a ruling on Lagos State’s application for permission to re-open the case out of time, granted the request to challenge the Court of Appeal decision of July 12, 2013, which discharged and acquitted Al-Mustapha in the murder case.
The then Acting Chief Justice of Nigeria (CJN), Justice Walter Samuel Nkanu Onnoghen, in a ruling of a seven-member panel, ordered Lagos State to file its notice of appeal within 30 days.
The decision followed the consent of Mr Al-Mustapha’s lawyer, Mr. Joseph Daudu SAN, not to oppose the application, which was argued by Osunsanya Oluwayemisi, a Senior State Counsel in the Lagos Ministry of Justice.
The Acting CJN had said that by the decision of the apex court, the time for Lagos to appeal against the Court of Appeal’s findings on the high-profile murder case had been extended from July 12, 2013, when the Court of Appeal judgment was delivered, until January 7, 2014.
By the permission granted in 2014, Lagos was cleared to challenge the not-guilty verdict granted in favour of the military officer by the Court of Appeal in 2013.
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