LaTeX Conversion into Normalized Forms and Speech 
                  Eitan M. Gurari 
               Ohio State University
 
LaTeX is an authoring language designed for producing documents
through native TeX compilers.  During the years different applications
have been developed to accept LaTeX inputs through engines programmed
from scratch.  Those engines are restricted in power to subsets of
LaTeX features.  The first part the presentation will demonstrate how
TeX4ht can be used to translate general LaTeX constructs into
restricted dialects of LaTeX recognizable by such engines.  The jsMath
dialect for LaTeX rendering through JavScript 
(http://www.math.union.edu/~dpvc/jsmath/) will be employed for a 
target. 
 
T. V. Raman introduced in 1994 his AsTeR program for automatically 
rendering technical documents into audio. His pioneering work assumed 
a LaTeX subset for an input.  Current recommendations for speech 
browsers address XML documents abiding to the SSML and CSS 
specifications (http://www.w3c.org).  The second part of the 
presentation will exhibit TeX4ht translations of LaTeX into speech 
through XML-based documents. 


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This material is based upon work supported by the National Science
Foundation under Award No. IIS-0312487.  Any opinions, findings, and
conclusions or recommendations expressed in this publication are those
of the author(s) and do not necessarily reflect the views of the
National Science Foundation.