Translating text into pictographs. (11th November 2015)

• Record Type: Journal Article
• Authors: VANDEGHINSTE, VINCENT; SEVENS, INEKE SCHUURMAN LEEN; VAN EYNDE, FRANK
• Is Part Of: Natural language engineering. Volume 23:Part 2(2017)
• Page Start: 217
• Page End: 244
• Publication Date: 2015-11-11
• Subjects: Natural language processing (Computer science) -- Periodicals; Software engineering -- Periodicals; 006.35
• DOI: 10.1017/S135132491500039X
• Languages: English
• ISSNs: 1351-3249

Abstract

Abstract: We describe and evaluate a text-to-pictograph translation system that is used in an online platform for Augmentative and Alternative Communication, which is intended for people who are not able to read and write, but who still want to communicate with the outside world. The system is set up to translate from Dutch into Sclera and Beta, two publicly available pictograph sets consisting of several thousands of pictographs each. We have linked large amounts of these pictographs to synsets or combinations of synsets of Cornetto, a lexical-semantic database for Dutch similar to WordNet. In the translation system, the Dutch input text undergoes shallow linguistic analysis and the synsets of the content words are looked up. The system looks for the nearest pictographs in the lexical-semantic database and displays the message into pictographs. We evaluated the system and results showed a large improvement over the baseline system which consisted of straightforward string-matching between the input text and the filenames of the pictographs. Our system provides a clear improvement in the communication possibilities of illiterate people. Nevertheless there is room for further improvement.