A User-Powered American Sign Language Dictionary
A User-Powered American Sign Language Dictionary
复制标题
用户驱动的美国手语词典
DOI:
10.1145/2675133.2675226
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发表时间:
2015
期刊:
影响因子:
--
通讯作者:
R. Ladner
中科院分区:
文献类型:
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作者:
Danielle Bragg;Kyle Rector;R. Ladner
Students learning American Sign Language (ASL) have trouble searching for the meaning of unfamiliar signs. ASL signs can be differentiated by a small set of simple features including hand shape, orientation, location, and movement. In a feature-based ASL-to-English dictionary, users search for a sign by providing a query, which is a set of observed features. Because there is natural variability in the way signs are executed, and observations are error-prone, an approach other than exact matching of features is needed. We propose ASL-Search, an ASL-to-English dictionary entirely powered by its users. ASL-Search utilizes Latent Semantic Analysis (LSA) on a database of feature-based user queries to account for variability. To demonstrate ASL-Search's viability, we created ASL-Flash, a learning tool that presents online flashcards to ASL students and provides query data. Our simulations on this data serve as a proof of concept, demonstrating that our dictionary's performance improves with use and performs well for users with varied levels of ASL experience.
DOI:
10.1109/cvpr.2012.6247928
发表时间:
2012
期刊:
--
影响因子:
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作者:
Eng-Jon Ong
通讯作者:
Eng-Jon Ong