2020 IEEE 14th International Conference on Semantic Computing (ICSC) 2020
DOI: 10.1109/icsc.2020.00057
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Language Detection Engine for Multilingual Texting on Mobile Devices

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Cited by 4 publications
(1 citation statement)
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“…These further make it difficult for an on-device language model to accurately map a user typed token to the intended native vocabulary word. Such issues also impede the end-user experience with Multilingual Texting and Language Detection [6]. In the present work, we address these problems by proposing a novel disambiguation algorithm for two mutually nonexclusive input methods [7] for languages with abugida scripts.…”
Section: Introductionmentioning
confidence: 99%
“…These further make it difficult for an on-device language model to accurately map a user typed token to the intended native vocabulary word. Such issues also impede the end-user experience with Multilingual Texting and Language Detection [6]. In the present work, we address these problems by proposing a novel disambiguation algorithm for two mutually nonexclusive input methods [7] for languages with abugida scripts.…”
Section: Introductionmentioning
confidence: 99%