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Linguistic Resources and Methods for Belarusian Natural Language Processing

  • Yuras Hetsevich,
  • Mikita Suprunchuk

摘要

We present several newly developed services, methods, and algorithms for Belarusian in the field of NLP, which provide users with a set of tools for text, speech and other multimedia processing. Such services as the Speech synthesizer, Transcription generator, Word paradigm generator are grounded on a rule-based approach. The algorithms, databases and lists of rules for their development are described in detail. Each tool realizes a specific task for computational processing of textual information and speech. The proposed resources are also used to collect targeted thematic content to develop and refine natural language processing systems for Belarusian. As a consequence, we show that linguistic resources have not lost their relevance to NLP.