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For readability and disambiguation of the written text, appropriate wordsegmentation is recommended for documentation, and it also holds for thedigitized texts. If the language is agglutinative while far from scriptiocontinua, for instance in the Korean language, the problem becomes moresignificant. However, some device users these days find it challenging tocommunicate via key stroking, not only for handicap but also for beingunskilled. In this study, we propose a real-time assistive technology thatutilizes an automatic word segmentation, designed for digital minorities whoare not familiar with electronic typing. We propose a data-driven systemtrained upon a spoken Korean language corpus with various non-canonicalexpressions and dialects, guaranteeing the comprehension of contextualinformation. Through quantitative and qualitative comparison with other textprocessing toolkits, we show the reliability of the proposed system and its fitwith colloquial and non-normalized texts, which fulfills the aim of supportivetechnology.

Giving Space to Your Message: Assistive Word Segmentation for the Electronic Typing of Digital Minorities