Abstract
Gregg shorthand is the most popular form of pen stenography in the United States. It has been adapted for many other languages. In order to substantially explore the potentialities of performing optical recognition of Gregg shorthand, we develop and present Gregg-1916, a dataset that comprises Gregg shorthand scripts of about 16 thousand common English words. In addition, we present a novel architecture for shorthand recognition which exhibits promising performance and opens up the path for various further directions.
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CITATION STYLE
Zhai, F., Fan, Y., Verma, T., Sinha, R., & Klakow, D. (2018). A dataset and a novel neural approach for optical gregg shorthand recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11107 LNAI, pp. 222–230). Springer Verlag. https://doi.org/10.1007/978-3-030-00794-2_24
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