Using N-Gram Analytics to Improve Automatic Fingerspelling Generation
Linguistics and Literature Studies, pp. 187-197, 2017.
Fingerspelling recognition is one of the last skills acquired, due to the complex nature of fingerspelling and a lack of display technology that is sufficiently natural for recognition practice. This paper describes a corpus-based study utilizing an n-gram extension to ELAN to gain a deeper understanding of deletion and coarticulation in ...More
Full Text (Upload PDF)
PPT (Upload PPT)