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dc.contributor.author Bhattacharyya, P
dc.contributor.author Murthy, H
dc.contributor.author Ranathunga, S
dc.contributor.author Munasinghe, R
dc.date.accessioned 2023-03-27T05:41:21Z
dc.date.available 2023-03-27T05:41:21Z
dc.date.issued 2019
dc.identifier.citation Bhattacharyya, P., Murthy, H., Ranathunga, S., & Munasinghe, R. (2019). Indic language computing. Communications of the ACM, 62(11), 70–75. https://doi.org/10.1145/3343456 en_US
dc.identifier.issn 0001-0782 en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20817
dc.description.abstract In April 2019, following the Easter Sunday bomb attacks, the Government of Sri Lanka had to shut down Facebook and YouTube for nine days to stop the spreading of hate speech and false news, posted mainly in the local languages Sinhala and Tamil. This came about simply because these social media platforms did not have the capability to detect and warn about the provocative content. India's Ministry of Human Resource Development (MHRD) wants lectures on Swayama and NPTELb—the online teaching platforms—to be translated into all Indian languages. Approximately 2.5 million students use the Swayam lectures on computer science alone. The lectures are in English, which students find difficult to understand. A large number of lectures are manually subtitled in English. Automatic speech recognition and machine translation into Indian languages will be great enablers for the marginalized sections of society. en_US
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.title Indic language computing en_US
dc.type Article-Full-text en_US
dc.identifier.year 2019 en_US
dc.identifier.journal Communications of the ACM en_US
dc.identifier.issue 11 en_US
dc.identifier.volume 62 en_US
dc.identifier.pgnos 70-75 en_US
dc.identifier.doi 10.1145/3343456 en_US


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