ICIST 2015: Information and Software Technologies pp 460-468 | Cite as
Text Predictor for Lithuanian Language
Abstract
This paper describes the architecture of the open source text prediction package Presage. We trained the n-gram model used in the text predictor for Lithuanian language. The predictor was trained and evaluated using sixteen Lithuanian literature books. Each book was split into training and test sets containing 30 % and 70 % of words. The trained text predictor was integrated into a multifunctional user interface for disabled people to improve the text input speed.
Keywords
Text prediction Word prediction User interfaceNotes
Acknowledgement
This research was funded by a grant QUADRIBOT, from the Agency for Science, Innovation and Technology (MITA), Lithuania.
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Copyright information
Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.