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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">Dear Kimberley,<o:p></o:p></span></p>
<p class="MsoNormal" style="text-indent:11.25pt"><span style="font-size:11.0pt;font-family:Calibri">One measure people have used for AD is propositional density. There is an automatic syntactic complexity analyzer built into CLAN. However, you need to first
have a %mor line created to use it. In general, most measures of complexity will require some kind of part-of-speech tagging or syntactic analysis.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri">--Brian MacWhinney<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:Calibri"><o:p> </o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:Calibri;color:black">From: </span>
</b><span style="font-family:Calibri;color:black">ChiBolts <chibolts@googlegroups.com> on behalf of Kimberly Mueller <digglekim@gmail.com><br>
<b>Reply-To: </b>ChiBolts <chibolts@googlegroups.com><br>
<b>Date: </b>Thursday, August 25, 2016 at 11:10 AM<br>
<b>To: </b>ChiBolts <chibolts@googlegroups.com><br>
<b>Subject: </b>syntactic complexity using MEGRASP?<o:p></o:p></span></p>
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<p class="MsoNormal">Dear All,<br>
<br>
I am continuing to search for an efficient way to analyze syntactic complexity, using cookie theft samples in a late-middle aged cohort at risk for Alzheimer's Disease. Some of these participants are declining in memory and language, but I expect deficits
in syntax to be extremely subtle, if they exist at all.<br>
<br>
I have quite a large number of transcripts, and we unfortunately did not hand code clauses beforehand, so I am hoping for an automated way to look at complexity. Does anyone have any suggestions?<br>
<br>
Sincere thanks!<br>
Kimberly Mueller, UW Madison<o:p></o:p></p>
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