DOST researchers are working on a large language model that would better understand modern Filipino's mixed usage of Filipino, English, and occasional Spanish words, along with informal lingo and colloquialisms.
By introducing intentionally-altered words, referred to as “noise” in predominantly clean databases, the computer learns to normalize informal expressions such as “sorryyy,” and “suriii,” into just “sorry.” Eventually, the model gets better at identifying alterations and deriving their meanings.
The team is also strengthening their models to be able to address colloquial trends such as the reversal of words for casual usage — “lodi” for idol, “omsim” for mismo, and “Etivac” for Cavite.According to Peramo, databases are usually called “backend assets” due to the high barriers that exist before non-technical users are able to access them.
With iTANONG’s use of artificial intelligence, this hurdle is essentially eliminated. Even those who are not versed in SQL are able to seamlessly gather information from the same repository. According to Peramo, DOST encourages the adaptation of artificial intelligence through initiatives in capacity-building, infrastructure development, and AI-focused research such as the iTANONG project.. The facility provides access to high-performance computers. “Peramo also emphasized DOST’s initiatives to develop data regulation policies and agreements on ethical uses for artificial intelligence.
For Adoptante, the iTANONG project is a way to bridge the gap between the academe and the public, “For the nontechnical person, [so that]in their day-to-day activities, such as getting the information that they need with the data that’s available.”Jessica Bonifacio is an incoming third-year Environmental and Sanitary Engineering student in National University – Manila. She is a volunteer under Rappler’s Research Unit.
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