Abstract
This work presents an application for grapheme-phoneme translation for Portuguese language texts based on adaptive automata. The application has a module for grapheme-phoneme translation of words as its core, and input texts are transformed into sequences of words (including numbers, acronyms, etc) that are used as input for the word translation module. The word translation module separates words into sequences of tokens and analyzes their behavior considering stress and influences from adjacent tokens. The paper begins with an overview of the word translation method based on adaptive automata, presents the application for text translation and ends with results of translation tests using texts from Brazilian newspapers.
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Shibata, D.P., de Azevedo da Rocha, R.L. (2011). Grapheme-Phoneme Translator for Brazilian Portuguese. In: Dobnikar, A., Lotrič, U., Šter, B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2011. Lecture Notes in Computer Science, vol 6594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20267-4_14
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DOI: https://doi.org/10.1007/978-3-642-20267-4_14
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