Recent changes to Home

WikiPage Home modified by Tanya Clement

Tanya Clement — Thu, 01 Dec 2011 18:32:17 -0000

--- v5 
+++ v6 
@@ -1,5 +1,5 @@
 [[project_admins]]
-[[download_button]] (This downloads includes the ProseVis.jar (executable). Other downloads include TestDocuments.zip (Tender Buttons and the New England Cook Book)
+[[download_button]] [Please note: This downloads includes the ProseVis.jar (executable). Browse other downloads for TestDocuments.zip (including Tender Buttons and the New England Cook Book).]
 
 Project Director: Tanya Clement
 Lead Developer: Ankita Goel

WikiPage Home modified by Tanya Clement

Tanya Clement — Thu, 01 Dec 2011 18:31:37 -0000

--- v4 
+++ v5 
@@ -1,5 +1,5 @@
 [[project_admins]]
-[[download_button]]
+[[download_button]] (This downloads includes the ProseVis.jar (executable). Other downloads include TestDocuments.zip (Tender Buttons and the New England Cook Book)
 
 Project Director: Tanya Clement
 Lead Developer: Ankita Goel

WikiPage Home modified by Tanya Clement

Tanya Clement — Thu, 01 Dec 2011 18:30:25 -0000

--- v3 
+++ v4 
@@ -11,6 +11,8 @@
 
 ProseVis has been developed in a two-stage process, first as VerseVis: Visualizing Spoken Language Features in Text by graduate students Christine Lu, Leslie Milton, and Austin Myers as part of a graduate course in visualization with Ben Shneiderman at the University of Maryland, College Park. Megan Monroe further developed the prototype as ProseVis under the auspices of this grant.
 
+Downloads available here include: ProseVis.jar (executable) and TestDocuments.zip (including Tender Buttons and the New England Cook Book)
+
 Project Participants: Tanya Clement, Assistant Professor, School of Information, University of Texas at Austin
 Loretta Auvil, Senior Project Coordinator at Illinois Informatics Institute at University of Illinois, Urbana-Champaign
 David Tcheng, I3 Research Scientist, SEASR, University of Illinois, Urbana-Champaign

WikiPage Home modified by Tanya Clement

Tanya Clement — Thu, 01 Dec 2011 17:53:16 -0000

--- v2 
+++ v3 
@@ -5,9 +5,15 @@
 Lead Developer: Ankita Goel
 Developers: Megan Monroe and Austin Myers
 
-ProseVis, a visualization tool we developed that allows a user to map the results of these analytics to the “original” text in human readable form.  With ProseVis, we allow users to identify patterns in the analyzed texts by facilitating their ability to highlight different features within the OpenMary data as well as the predictive modeling results (see Figure 4) mapped onto the original text. The visualization renders a given document as a series of rows that correspond to any level in the document hierarchy (chapter/stanza/group, section, paragraph/line, sentence, phrase). In these ways, the reader can examine prosodic patterns as they occur at the beginning or end of these text divisions. Further, ProseVis represents the OpenMary data  within ProseVis by breaking down the syllables into consonant and vowel components such as:
-Word	Sound	Lead Consonant	Vowel Sound	End Consonant
-Strike	s tr I ke	s	I	Ke
-This breakdown provides the reader with a finer-grained level of analysis including beginning, vowel, and end sounds.
-
-More soon . . . 
+ProseVis is a visualization tool developed as part of a use case supported by the Andrew W. Mellon Foundation through a grant titled "SEASR Services," in which we seek to identify other features than the "word" to analyze texts. These features comprise sound including parts-of-speech, accent, phoneme, stress, tone, break index.
+
+ProseVis allows a reader to map the features extracted from OpenMary (http://mary.dfki.de/) Text-to-speech System and predictive classification data to the "original" text. We developed this project with the ultimate goal of facilitating a reader's ability to analyze and disseminate the results in human readable form. Research has shown that mapping the data to the text in its original form allows for the kind of human reading that literary scholars engage: words in the context of phrases, sentences, lines, stanzas, and paragraphs (Clement 2008). Recreating the context of the page not only allows for the simultaneous consideration of multiple representations of knowledge or readings (since every readerâ€™s perspective on the context will be different) but it also allows for a more transparent view of the underlying data. If a human can see the data (the syllables, the sounds, the parts-of-speech) within the context in which they are used to reading, with the data mapped back onto the full text, then the reader is empowered within this familiar context to read what might otherwise be an unfamiliar representation tabular representation of the text. For these reasons, we developed ProseVis as a reader interface to allow scholars to work with the data in a language or context in which we are used to saying things about the world.
+
+ProseVis has been developed in a two-stage process, first as VerseVis: Visualizing Spoken Language Features in Text by graduate students Christine Lu, Leslie Milton, and Austin Myers as part of a graduate course in visualization with Ben Shneiderman at the University of Maryland, College Park. Megan Monroe further developed the prototype as ProseVis under the auspices of this grant.
+
+Project Participants: Tanya Clement, Assistant Professor, School of Information, University of Texas at Austin
+Loretta Auvil, Senior Project Coordinator at Illinois Informatics Institute at University of Illinois, Urbana-Champaign
+David Tcheng, I3 Research Scientist, SEASR, University of Illinois, Urbana-Champaign
+Megan Monroe, PhD Candidate, Computer Science Department, University of Maryland, College Park
+Ankita Goel, MA Candidate, Computer Science Department, University of Texas at Austin
+Austin Myers, PhD Candidate, Computer Science Department, University of Maryland, College Park

WikiPage Home modified by Tanya Clement

Tanya Clement — Tue, 01 Nov 2011 16:49:01 -0000

--- v1 
+++ v2 
@@ -1,5 +1,13 @@
-Welcome to your wiki!
-
-This is the default page, edit it as you see fit. To add a page simply reference it within brackets, e.g.: [SamplePage].
-
-The wiki uses [Markdown](/p/prosevis/home/markdown_syntax/) syntax.
+[[project_admins]]
+[[download_button]]
+
+Project Director: Tanya Clement
+Lead Developer: Ankita Goel
+Developers: Megan Monroe and Austin Myers
+
+ProseVis, a visualization tool we developed that allows a user to map the results of these analytics to the “original” text in human readable form.  With ProseVis, we allow users to identify patterns in the analyzed texts by facilitating their ability to highlight different features within the OpenMary data as well as the predictive modeling results (see Figure 4) mapped onto the original text. The visualization renders a given document as a series of rows that correspond to any level in the document hierarchy (chapter/stanza/group, section, paragraph/line, sentence, phrase). In these ways, the reader can examine prosodic patterns as they occur at the beginning or end of these text divisions. Further, ProseVis represents the OpenMary data  within ProseVis by breaking down the syllables into consonant and vowel components such as:
+Word	Sound	Lead Consonant	Vowel Sound	End Consonant
+Strike	s tr I ke	s	I	Ke
+This breakdown provides the reader with a finer-grained level of analysis including beginning, vowel, and end sounds.
+
+More soon . . .

WikiPage Home modified by Tanya Clement

Tanya Clement — Tue, 01 Nov 2011 16:29:21 -0000

Welcome to your wiki! This is the default page, edit it as you see fit. To add a page simply reference it within brackets, e.g.: [SamplePage]. The wiki uses [Markdown](/p/prosevis/home/markdown_syntax/) syntax.