Rather than indulging in blame games especially against Hon. Haruna Iddrisu and the Ministry of Education, let us redirect our energy toward a more productive national task: deliberately integrating the Ga language into Artificial Intelligence systems. In simple terms, AI cannot learn a language that has not been taught to it. Let us build, not blame.
Languages that are well supported by AI did not appear there by accident or magic. They were intentionally developed, documented, digitized, and sponsored by their speakers. Large volumes of their content were placed on the internet for machines to learn from. Artificial Intelligence learns language the same way humans do by exposure. If a language has little or no digital presence, AI simply cannot learn it.
This is the core reason Ga is poorly represented in AI systems today. Much of the language remains largely oral, undocumented, or unavailable in digital form. When AI systems scan the internet for data, they do not find enough Ga language material to study, analyse, or model. Another reason Ga language is poorly represented in AI systems today is the culmination of Ga and Daŋme as one native language.
To change this, deliberate action, as suggested by our Sister Sophia Adjetey, is required.
The solution is to work with Natural Language Processing (NLP) experts. NLP is a branch of Artificial Intelligence that enables computers to understand, interpret, and generate human language. It combines computer science, artificial intelligence, and linguistics to bridge the gap between how humans communicate and how machines process Information. For example, before any language can be used effectively by AI, it must be converted into computer-readable data. This process includes: Creating large digital text corpora (books, stories, articles, conversations), standardized spelling systems clearly either in Ga or Daŋme.
Annotating grammar, sentence structure, and meaning in Ga or Daŋme and especially writing computer code that teaches machines how the language works
For Ga to take its rightful place in the digital and AI-driven world, its speakers traditional authorities, scholars, educators, institutions, technologists, and Ga communities at home and in the diaspora must intentionally document, digitize, and publish Ga language resources online. These efforts must then be linked with universities, NLP researchers, and AI companies.
That is how languages survive in the modern world.
That is how cultures remain relevant in the digital age.
And that is how Ga moves from the margins of technology to its centre.
