Multilingual Partial Syllable Tokenization - A rule-based tokenization method designed to align with linguistic nuances while minimizing False Positive errors.
Project description
We would like to introduce Multilingual Partial Syllable Tokenization—a novel rule-based tokenization method that avoids breaking into complete syllables. Through experimentation, its utility has been uncovered in keyword detection, effectively minimizing False Positive errors and helping a lot in Burmese’s rules-based+machine learning name recognition. Notably, this tokenization method is designed to align with the linguistic nuances of languages, but without requiring an exhaustive understanding of each specific language. Now it is integrated with a frequency-based approach to generate tokens.
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