Abstract
This paper presents an approach to word morphological decomposition based on lexical stress modeling. Word segmentation quality is estimated by a hidden variable that assigns the lexical stress. The formulated segmentation criterion is based on a training set of words with manually pointed stresses and a large text corpus. The described search algorithm finds one or more segmentations with the best likelihood. Given arguments confirm the necessity to distinguish stressed and unstressed vowels in the phoneme alphabet for Ukrainian speech recognition systems. The developed tool allows to assign primary lexical stress in unknown words. Experimental research is described and results are discussed.
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References
Black, A., Lenzo, K., Pagel, V.: Issues in Building General Letter to Sound Rules. In: 3rd ESCA Workshop on Speech Synthesis, Jenolan Caves, Australia, pp. 77–80 (1998)
Creutz, M., Lagus, K.: Induction of a simple morphology for highly-inflecting languages. In: Proc. 7th Meeting of the ACL Special Interest Group in Computational Phonology (SIGPHON), Barcelona, pp. 43–51 (2004)
Sef, T., Skrjanc, M., Gams, M.: Automatic lexical stress assignment of unknown words for highly inflected Slovenian language. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2002. LNCS (LNAI), vol. 2448, pp. 165–172. Springer, Heidelberg (2002)
Bisani, M., Ney, H.: Joint-Sequence Models for Grapheme-to-Phoneme Conversion. Speech Communication 50(5), 434–451 (2008)
Robeiko, V., Sazhok, M.: Bidirectional Text-To-Pronunciation Conversion with Word Stress Prediction for Ukrainian. In: Proc. UkrObraz 2012, Kyiv, pp. 43–46 (2012)
Pylypenko, V., Robeiko, V., Sazhok, M., Vasylieva, N., Radoutsky, O.: Ukrainian Broadcast Speech Corpus Development. In: Proc. Specom 2011, Kazan, RF, pp. 244–247 (2011)
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Sazhok, M., Robeiko, V. (2013). Lexical Stress-Based Morphological Decomposition and Its Application for Ukrainian Speech Recognition. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40585-3_42
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DOI: https://doi.org/10.1007/978-3-642-40585-3_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40584-6
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