<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Yes, this seems unnecessarily tricky, I agree. The trick is that you have to add the +y switch, as in <div class=""><br class=""></div><div class="">freq +s"\**" *.cha +y</div><div class=""><br class=""></div><div class="">This looks at all the occurrences of the asterisk, since an asterisk marks every utterance. The second occurrence of an asterisk separates out speakers. If you want to merge speakers, you could have </div><div class=""><br class=""></div><div class="">freq +s"\*%" *.cha +y</div><div class=""><br class=""></div><div class="">And you can add +u if you want a single number for the whole corpus.</div><div class=""><br class=""></div><div class="">--Brian<br class=""><div><br class=""><blockquote type="cite" class=""><div class="">On Sep 14, 2018, at 3:41 PM, Cynthia Core <<a href="mailto:core@gwu.edu" class="">core@gwu.edu</a>> wrote:</div><br class="Apple-interchange-newline"><div class="">Thank you Brian!<div class="">I’ve asked a few people but no one seems to know how to use FREQ to count utterances.</div><div class="">I looked around and didn’t fine it either - do I just count the tier prefix MOT and exclude the ones I don’t want?</div><div class="">I apologize for asking such a basic question!</div><div class="">Cynthia<br class=""><br class="">On Friday, September 14, 2018, Brian MacWhinney <<a href="mailto:macw@andrew.cmu.edu" class="">macw@andrew.cmu.edu</a>> wrote:<br class=""><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word;line-break:after-white-space" class="">Yes, FREQ can count this. First, you would count all utterances and then you would count only the occurrences of the language precode, such as +s”[- spa]”<div class=""><br class=""></div><div class="">In order to count NP’s that are the Subjects of Verbs, you would have to use the %gra line and count instances of the code SUBJ.</div><div class=""><br class=""></div><div class="">—Brian<br class=""><div class=""><br class=""><blockquote type="cite" class=""><div class="">On Sep 13, 2018, at 9:16 AM, Cynthia Core <<a href="mailto:core@gwu.edu" target="_blank" class="">core@gwu.edu</a>> wrote:</div><br class=""><div class=""><div dir="ltr" class=""><div dir="ltr" class=""><span style="font-family:Arial,Helvetica,sans-serif" class="">Hello,</span><div style="font-family:Arial,Helvetica,sans-serif" class=""><br class=""></div><div style="font-family:Arial,Helvetica,sans-serif" class="">1 - We are analyzing bilingual language samples and want to count the number of utterances assigned to a particular language - only English, for example.</div><div style="font-family:Arial,Helvetica,sans-serif" class=""><br class=""></div><div style="font-family:Arial,Helvetica,sans-serif" class="">Can I use FREQ for that? Or do I need to generate a MOR tier and then do something else?</div><div style="font-family:Arial,Helvetica,sans-serif" class=""><br class=""></div><div style="font-family:Arial,Helvetica,sans-serif" class="">2 - We want to count NPs that govern main verbs. I know I can count nouns and I can count main verbs - but how can I delimit the command so I only get nouns that are the heads of NPs that govern main verbs?</div><div style="font-family:Arial,Helvetica,sans-serif" class=""><br class=""></div><div style="font-family:Arial,Helvetica,sans-serif" class="">Thanks for the help - </div><div style="font-family:Arial,Helvetica,sans-serif" class="">Cynthia</div><div class=""><br class=""></div>-- <br class=""><div class=""><div dir="ltr" class=""><div class=""><div dir="ltr" class="">Cynthia Core, PhD, CCC-SLP<div class="">Associate Professor</div><div class="">Department of Speech and Hearing Science</div><div class="">The George Washington University</div></div></div></div></div>
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