Proceedings of the 2008 International Cross-Disciplinary Conference on Web Accessibility (W4A) 2008
DOI: 10.1145/1368044.1368074
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Towards one world web with HearSay3

Abstract: In this paper, we present the key functionalities of HearSay 3, a non-visual web browser designed with the goal of improving web accessibility across the world. The featured functionalities include transparent support for multiple languages, collaborative labeling that harnesses the power of the social web, and a usable interface for handling dynamic web content.

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Cited by 16 publications
(14 citation statements)
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“…For example HearSay [16] is a non-visual web browser, where users collaboratively and voluntarily assign a label to each web page element using keyboard shortcuts or voice commands. These labels are stored in both local and remote repositories and shared with other users.…”
Section: Gamification In Crowdsourcing Systemmentioning
confidence: 99%
“…For example HearSay [16] is a non-visual web browser, where users collaboratively and voluntarily assign a label to each web page element using keyboard shortcuts or voice commands. These labels are stored in both local and remote repositories and shared with other users.…”
Section: Gamification In Crowdsourcing Systemmentioning
confidence: 99%
“…Related work from the accessibility community comprise the following: In [17,7,6], the HearSay screen reader is introduced. The authors perform a structural and semantic segmentation of the DOM tree and represent web pages as a semantic partition tree.…”
Section: Related Workmentioning
confidence: 99%
“…Page analysis takes place from layer (5) of our model in Figure 1 and can be considered as a continued enrichment process, which writes additional, logical information into the model at layers (6)(7)(8).…”
Section: Information Extractionmentioning
confidence: 99%
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“…HearSay, an advanced screen reader based on structural and semantic segmentation of the HTML source (DOM tree) is presented in [10,4]. HearSay also uses geometric clustering as one part of its segmentation algorithm.…”
Section: Related Workmentioning
confidence: 99%