Thank you Brian!<div>I’ve asked a few people but no one seems to know how to use FREQ to count utterances.</div><div>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>I apologize for asking such a basic question!</div><div>Cynthia<br><br>On Friday, September 14, 2018, Brian MacWhinney <<a href="mailto:macw@andrew.cmu.edu">macw@andrew.cmu.edu</a>> wrote:<br><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">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><br></div><div>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><br></div><div>—Brian<br><div><br><blockquote type="cite"><div>On Sep 13, 2018, at 9:16 AM, Cynthia Core <<a href="mailto:core@gwu.edu" target="_blank">core@gwu.edu</a>> wrote:</div><br><div><div dir="ltr"><div dir="ltr"><span style="font-family:Arial,Helvetica,sans-serif">Hello,</span><div style="font-family:Arial,Helvetica,sans-serif"><br></div><div style="font-family:Arial,Helvetica,sans-serif">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"><br></div><div style="font-family:Arial,Helvetica,sans-serif">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"><br></div><div style="font-family:Arial,Helvetica,sans-serif">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"><br></div><div style="font-family:Arial,Helvetica,sans-serif">Thanks for the help - </div><div style="font-family:Arial,Helvetica,sans-serif">Cynthia</div><div><br></div>-- <br><div><div dir="ltr"><div><div dir="ltr">Cynthia Core, PhD, CCC-SLP<div>Associate Professor</div><div>Department of Speech and Hearing Science</div><div>The George Washington University</div></div></div></div></div>
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