Hybrid Approach Text Generation for Low-Resource Language

Author:

Rakhimova DianaORCID,Adali EşrefORCID,Karibayeva AidanaORCID

Publisher

Springer Nature Switzerland

Reference27 articles.

1. Joshi, P., Santy, S., Budhiraja, A., Bali, K., Choudhury, M.: The state and fate of linguistic diversity and inclusion in the NLP world. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 6282–6293 (2020)

2. Savelyev, A., Robbeets, M.: Bayesian phylolinguistics infers the internal structure and the time-depth of the Turkic language family. J. Lang. Evol. 5(1), 39–53 (2020)

3. Tukeyev, U.A.: A new computational model for Turkic languages morphology and processing. J. Prob. Comput. Sci. Inf. Technol. 1(1), 47–54 (2023)

4. Dotton, Z.; Wagner, J.D.: A Grammar of Kazakh. https://slaviccenters.duke.edu/sites/slaviccenters.duke.edu/files/file-attachments/kazakh-grammar.pdf. Accessed 09 Jan 2024

5. York, A.: 10 Best AI Text & Content Generator Tools in 2023. https://clickup.com/blog/aitext-generator/. Accessed 08 Jan 2024

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