Abstract
This paper represents the procedure of creating medical and social domains corpora in NooJ. It illustrates a primary analysis of the corpora. Based on the research, the Belarusian NooJ module has been supplemented and thematic dictionaries of medical and social areas in NooJ format have been prepared. Automatic text processing emphasized words’ linguistic peculiarities (mainly morphological) that the main module of Belarusian language for NooJ did not recognize. In addition, the article shows how the corpora help to improve the quality of translation, to identify heterogeneous translation options.
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Suprunchuk, M. et al. (2022). Creation of Parallel Medical and Social Domains Corpora for the Machine Translation and Speech Synthesis Systems. 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_12
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DOI: https://doi.org/10.1007/978-3-031-23317-3_12
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