Difference between revisions of "Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor"

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{{Infobox work
 
{{Infobox work
 
| title = Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor
 
| title = Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor
| date = 2011
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| date = 2012
| authors = [[Leo Ferres]]<br />[[José Fuentes Sepúlveda]]
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| authors = [[J. Fuentes Sepúlveda]]<br />[[Leo Ferres]]
| doi = 10.1145/1969289.1969322
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| doi = 10.1080/13614568.2012.702134
| link = http://dl.acm.org/citation.cfm?doid=1969289.1969322
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| link = http://dl.acm.org/citation.cfm?id=2434755.2434759
 
}}
 
}}
'''Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Leo Ferres]] and [[José Fuentes Sepúlveda]].
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'''Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor''' - scientific work related to [[Wikipedia quality]] published in 2012, written by [[J. Fuentes Sepúlveda]] and [[Leo Ferres]].
  
 
== Overview ==
 
== Overview ==
Mathematics accessibility is an important topic for inclusive education. Authors tackle the problem of accessing a large repository of mathematical formulas, by providing a natural language description of the more than 350,000 [[Wikipedia]] formulas using a well-researched sub-language targetting Spanish speakers, for whom assistive technologies, particularly domain-specific technologies like the one described here, are scarce.
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Mathematics accessibility is an important topic for inclusive education. In this paper, authors make [[Wikipedia]]'s repository of mathematical formulas accessible by providing a natural language description of its more than 420,000 formulas using a well-researched sub-language. Authors also contribute by targeting Spanish speakers, for whom assistive technologies, particularly domain-specific technologies like the one described here, are scarce. Authors focus on the semantics of formulas rather than their visual appearance allowed us to generate verbalizations with a precision of approximately 80% of understandable descriptions, as shown in an evaluation with sighted users.
 
 
== Embed ==
 
=== Wikipedia Quality ===
 
<code>
 
<nowiki>
 
Ferres, Leo; Sepúlveda, José Fuentes. (2011). "[[Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor]]".DOI: 10.1145/1969289.1969322.
 
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=== English Wikipedia ===
 
<code>
 
<nowiki>
 
{{cite journal |last1=Ferres |first1=Leo |last2=Sepúlveda |first2=José Fuentes |title=Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor |date=2011 |doi=10.1145/1969289.1969322 |url=https://wikipediaquality.com/wiki/Improving_Accessibility_to_Mathematical_Formulas:_the_Wikipedia_Math_Accessor}}
 
</nowiki>
 
</code>
 
 
 
=== HTML ===
 
<code>
 
<nowiki>
 
Ferres, Leo; Sepúlveda, José Fuentes. (2011). &amp;quot;<a href="https://wikipediaquality.com/wiki/Improving_Accessibility_to_Mathematical_Formulas:_the_Wikipedia_Math_Accessor">Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor</a>&amp;quot;.DOI: 10.1145/1969289.1969322.
 
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[[Category:Scientific works]]
 
[[Category:Spanish Wikipedia]]
 

Revision as of 10:28, 29 November 2020


Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor
Authors
J. Fuentes Sepúlveda
Leo Ferres
Publication date
2012
DOI
10.1080/13614568.2012.702134
Links
Original

Improving Accessibility to Mathematical Formulas: the Wikipedia Math Accessor - scientific work related to Wikipedia quality published in 2012, written by J. Fuentes Sepúlveda and Leo Ferres.

Overview

Mathematics accessibility is an important topic for inclusive education. In this paper, authors make Wikipedia's repository of mathematical formulas accessible by providing a natural language description of its more than 420,000 formulas using a well-researched sub-language. Authors also contribute by targeting Spanish speakers, for whom assistive technologies, particularly domain-specific technologies like the one described here, are scarce. Authors focus on the semantics of formulas rather than their visual appearance allowed us to generate verbalizations with a precision of approximately 80% of understandable descriptions, as shown in an evaluation with sighted users.