Abstract
A language is known as tonal language when the pitch of the word changes, the meaning of the word is also changed. The tonal feature can be found in several Indic languages, but this paper focuses only on the Bodo language. Bodo is one such tonal language listed in the 22 scheduled languages in the Indian constitution. Most of cases it has two tones and has not been explored so far especially in text processing. In order to perform this experiment on Bodo text we need three major tasks: (i) identify the tonal word in the Bodo text, (ii) find the underlying meaning of the tonal word in that text, and (iii) identify the tone of the word. For the first task, i.e., the identification of Bodo tonal words, several Bodo texts, and literature. Various speeches have been studied and identified 107 tonal words so far. Some instances are ‘बार’/bar/Wind, ‘दै’/dwi/Water, ‘जा’/za / eat, ‘हर’/hor/night. For the second task, it is noted that the tone depends on the context of the sentence and hence needs the context information. Now this problem is quite similar to the word sense disambiguation (WSD) and can be adopted for this problem with suitable changes. In these particular cases, we have used the modified Lesk algorithm.
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Narzary, M., Brahma, M., Narzary, S., Senapati, A., Singh, P.K. (2023). A Computational Approach for the Tonal Identification in Bodo Language. In: Bhattacharjee, R., Neog, D.R., Mopuri, K.R., Vipparthi, S.K. (eds) Artificial Intelligence and Data Science Based R&D Interventions. NERC 2022. Springer, Singapore. https://doi.org/10.1007/978-981-99-2609-1_3
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DOI: https://doi.org/10.1007/978-981-99-2609-1_3
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