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Visualizing Sentence Parse Trees with WordBricks

Authors :
Maxim Mozgovoy
Marina Purgina
Source :
CYBCONF
Publication Year :
2017
Publisher :
IEEE, 2017.

Abstract

We address the task of visualizing machine- readable natural language parser output in a graphical form, convenient for users. While there are numerous available tools implementing similar functionality, their resulting diagrams are typically aimed at language specialists, and are arguably difficult to understand for inexperienced second language learners. In contrast, our system uses a specialized language learning system (WordBricks) as a visualization module, and is deliberately designed to help language learners to understand the structure of natural language sentences. We hope that the resulting software tool (available for the Android mobile platform) will be beneficial for regular use in a variety of language learning scenarios.

Details

Database :
OpenAIRE
Journal :
2017 3rd IEEE International Conference on Cybernetics (CYBCONF)
Accession number :
edsair.doi...........76158b2013ae77aef7257ffed55c170c
Full Text :
https://doi.org/10.1109/cybconf.2017.7985822