A User-Powered American Sign Language Dictionary

A User-Powered American Sign Language Dictionary
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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:
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
影响因子:
--
通讯作者:
R. Ladner
R. Ladner
中科院分区:
--
文献类型:
--
作者:
Danielle Bragg;Kyle Rector;R. Ladner

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学习美国手语(ASL)的学生很难找到不熟悉的符号的含义。手语可以通过一小部分简单的特征来区分,包括手的形状、方向、位置和运动。在基于特征的ASL到英语词典中,用户通过提供查询来搜索标志,该查询是一组观察到的特征。由于符号的执行方式存在自然的变化性,并且观察容易出错,因此需要一种不同于特征精确匹配的方法。我们提出了ASL搜索,一个ASL到英语词典完全由其用户供电。ASL搜索利用潜在语义分析(LSA)的数据库的功能为基础的用户查询,以考虑到变化。为了证明ASL-Search的可行性,我们创建了ASL-Flash,这是一种学习工具,可以向ASL学生提供在线抽认卡并提供查询数据。我们对这些数据的模拟作为概念的证明,表明我们的字典的性能随着使用而提高,并且对于具有不同ASL经验水平的用户表现良好。
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: --
作者:
Eng-Jon Ong
通讯作者: Eng-Jon Ong