A User-Powered American Sign Language Dictionary

Author:

Bragg Danielle1,Rector Kyle1,Ladner Richard E.1

Affiliation:

1. University of Washington, Seattle, WA, USA

Funder

National Science Foundation

Publisher

ACM

Reference41 articles.

1. Improving web search ranking by incorporating user behavior information

2. Can people collaborate to improve the relevance of search results?

3. Crowdsourcing for relevance evaluation

4. Aslpro May 2014. http://www.aslpro.com. Aslpro May 2014. http://www.aslpro.com.

5. Aslwrite - support american sign language through writing! May 2013. http://www.aslwrite.com/. Aslwrite - support american sign language through writing! May 2013. http://www.aslwrite.com/.

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1. Exploring the Benefits and Applications of Video-Span Selection and Search for Real-Time Support in Sign Language Video Comprehension among ASL Learners;ACM Transactions on Accessible Computing;2024-09-02

2. Requirements of Enjoyable Mobile Learning Applications for Deaf Children;Journal of Information and Communication Technology;2024-01-30

3. Comparing Incremental Learning Approaches for a Growing Sign Language Dictionary;Communications in Computer and Information Science;2024

4. Sign Spotter: Design and Initial Evaluation of an Automatic Video-Based American Sign Language Dictionary System;The 25th International ACM SIGACCESS Conference on Computers and Accessibility;2023-10-22

5. Exploring Collection of Sign Language Videos through Crowdsourcing;Proceedings of the ACM on Human-Computer Interaction;2022-11-07

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