Indic language computing

dc.contributor.authorBhattacharyya, P
dc.contributor.authorMurthy, H
dc.contributor.authorRanathunga, S
dc.contributor.authorMunasinghe, R
dc.date.accessioned2023-03-27T05:41:21Z
dc.date.available2023-03-27T05:41:21Z
dc.date.issued2019
dc.description.abstractIn 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.identifier.citationBhattacharyya, P., Murthy, H., Ranathunga, S., & Munasinghe, R. (2019). Indic language computing. Communications of the ACM, 62(11), 70–75. https://doi.org/10.1145/3343456en_US
dc.identifier.doi10.1145/3343456en_US
dc.identifier.issn0001-0782en_US
dc.identifier.issue11en_US
dc.identifier.journalCommunications of the ACMen_US
dc.identifier.pgnos70-75en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/20817
dc.identifier.volume62en_US
dc.identifier.year2019en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.titleIndic language computingen_US
dc.typeArticle-Full-texten_US

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