Abstract
The article describes the syntactic grammar for automatic text segmentation into syntagms in Belarusian by means of NooJ. It is based on the principle of defining sequences of linguistic elements associated with certain semantic relationships and aimed at searching structural and semantic components of utterances and delimiting them into accentual units. Its implementation is essential for improving the synthetic speech generated by Belarusian text-to-speech systems using prepared syntactic grammars in NooJ.
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References
Lobanov, B., Levkovskaya, T.: Multi-stream word recognition based on a large set of decision rules and acoustic features. In: Proceedings of the 5th International Title Suppressed Due to Excessive Length 9th Workshop Speech and Computer SPECOM 2000. Revised Selected Papers, St.-Petersburg, pp. 75–78 (2000)
Lobanov, B., Tsirulnik, L., Zhadinets, D., Karnevskaya, E.: Language- and speakerspecific implementation of intonation contours in multilingual TTS synthesis. In: Speech Prosody: Proceedings of the 3rd International Conference, Dresden, Germany, 2–5 May, Revised Selected Papers, vol. 2, pp. 553–556 (2006)
Okrut, T., Hetsevich, Y., Lobanov, B., Yakubovich, Y.: Resources for identification of cues with author’s text insertions in Belarusian and Russian electronic texts. In: Monti, J., Silberztein, M., Monteleone, M., di Buono, M.P. (eds.) Formalising Natural Languages with NooJ 2014. Revised Selected Papers, pp. 129–139. Cambridge Scholars Publishing, Newcastle (2015)
Hetsevich, Y., Okrut, T., Lobanov, B.: Grammars for sentence into phrase segmentation: punctuation level. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, Hanna (eds.) NooJ 2015. CCIS, vol. 607, pp. 74–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42471-2_7
Zianouka, Y., Hetsevich, Y., Latyshevich, D., Dzenisiuk, Z.: Automatic generation of intonation marks and prosodic segmentation for Belarusian NooJ module. In: Bigey, M., Richeton, A., Silberztein, M., Thomas, I. (eds.) NooJ 2021. CCIS, vol. 1520, pp. 231–242. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-92861-2_20
Lobanov, B.: Computer Synthesis and Cloning of Speech. Bielaruskaja Navuka, Minsk (2008)
Speech Synthesis and Recognition Laboratory. https://ssrlab.by/en/. Accessed 29 July 2022
Text-to-speech synthesizer. https://corpus.by/. Accessed 01 Aug 2022
NooJ: A Linguistic Development Environment. http://www.nooj4nlp.org/. Accessed 18 Feb 2021
Silberztein, M.: Formalizing Natural Languages: The NooJ Approach. Wiley, Hoboken (2016)
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Zianouka, Y., Hetsevich, Y., Suprunchuk, M., Latyshevich, D. (2022). Prosodic Segmentation of Belarusian Texts in NooJ. In: González, M., Reyes, S.S., Rodrigo, A., Silberztein, M. (eds) Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2022. Communications in Computer and Information Science, vol 1758. Springer, Cham. https://doi.org/10.1007/978-3-031-23317-3_5
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DOI: https://doi.org/10.1007/978-3-031-23317-3_5
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