This paper presents two colloquial Sinhala language corpora from the language efforts of the Data, Analysis and Policy team of LIRNEasia, as well as a list of algorithmically derived stopwords. The larger of the two corpora spans 2010 to 2020 and contains 28,825,820 to 29,549,672 words of multilingual text posted by 533 Sri Lankan Facebook pages, including politics, media, celebrities, and other categories; the smaller corpus amounts to 5,402,76 words of only Sinhala text extracted from the larger.
Software failures and public funds: Monumental coding errors explained
In the world of technology, programming errors—whether stemming from minor oversights or fundamental misunderstandings—can have catastrophic consequences. From the tragic failure of spacecraft missions to the collapse of critical infrastructures, history is filled with examples where a simple bug or miscalculation triggered massive disasters.
How will AI shape the upcoming presidential election in Sri Lanka?
How will AI shape our upcoming presidential election? Can AI-generated fake audio mislead voters?
LIRNEasia Junior Researcher Chanuka Algama shares cutting-edge research on Conversational RAG at ICIIT Conclave 2024
The Annual International Conference on Innovations in Infobusiness & Technology (ICIIT), organised by the Informatics Institute of Technology, took place on May 30-31, 2024, rebranded as ICIIT Conclave 2024. The theme of the conclave was “Large Language Models and Generative AI.
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