<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, 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><br class=""><blockquote type="cite" class=""><div class="">On Sep 13, 2018, at 9:16 AM, Cynthia Core <<a href="mailto:core@gwu.edu" class="">core@gwu.edu</a>> wrote:</div><br class="Apple-interchange-newline"><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="gmail_signature"><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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