<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class="">Shelley,<div class=""><br class=""></div><div class="">Yes, FREQ counts all words. If you want FREQ to ignore the words in a second language, you can add -s"*@s". However, for FluCalc, it would seem to me that excluding a single word from the other language would skew the analysis. Of course, it makes sense to exclude whole utterances in the other language that are marked with codes like [- spa] and Leonid agrees that it makes sense to add this facility to FluCalc.</div><div class=""><div class=""><br class=""></div><div class="">--Brian<br class=""><div><br class=""><blockquote type="cite" class=""><div class="">On Apr 4, 2018, at 4:45 PM, Shelley Brundage <<a href="mailto:brundage@gwu.edu" class="">brundage@gwu.edu</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class="">hi Leonid,<div class="">I have a follow up question</div><div class="">I am getting the same number of words from FLUCALC and FREQ. so does that mean that freq doesn't distinguish words of one language, either?</div></div><div class="gmail_extra"><br class=""><div class="gmail_quote">On Wed, Apr 4, 2018 at 4:39 PM, Leonid Spektor <span dir="ltr" class=""><<a href="mailto:spektor@andrew.cmu.edu" target="_blank" class="">spektor@andrew.cmu.edu</a>></span> 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="">Shelley,<div class=""><br class=""></div><div class="">1. at this time FLUCALC does not distinguish between words of one language versus another. FLUCALC considers all text as one.</div><div class=""><br class=""></div><div class="">2. means that there were no bullets in a file from which total time value could be computed. If you files does have bullets, then please email it to me for testing.<br class=""><div class="">
<div style="font-family: "Lucida Grande"; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;" class=""><br class="m_-8025636221122815977Apple-interchange-newline"><br class=""></div><div style="font-family: "Lucida Grande"; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px;" class="">Leonid.</div>
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<div class=""><br class=""><blockquote type="cite" class=""><div class=""><div class="h5"><div class="">On Apr 4, 2018, at 16:15, Shelley Brundage <<a href="mailto:brundage@gwu.edu" target="_blank" class="">brundage@gwu.edu</a>> wrote:</div><br class="m_-8025636221122815977Apple-interchange-newline"></div></div><div class=""><div class=""><div class="h5"><div dir="ltr" class="">hello Chibolts,<div class="">I am analyzing some data from bilingual children. The CHAT files have both English and Spanish words in them. In the Spanish files, the English words have been tagged with "@s". I have two questions about running flucalc for Spanish:</div><div class=""><br class=""></div><div class="">1. the MOR words output in the flucalc spreadsheet seems to be counting both Spanish and English words in the samples, rather than just the Spanish ones. I thought that tagging the English words in the Spanish files meant that they would be ignored in Spanish counts, but that does not appear to have happened (I cross-checked word count with FREQ). Is there a way to count just the Spanish words for flucalc?</div><div class=""><br class=""></div><div class="">2. In some instances the flucalc output says that words per minute is N/A. Does this mean that there were not enough utterances to calculate WPM? if so, what is the necessary number of utterances for this?</div><div class=""><br class=""></div><div class="">Thank you</div><div class=""><br class=""></div><div class="">Shelley<br clear="all" class=""><div class=""><br class=""></div>-- <br class=""><div class="m_-8025636221122815977gmail_signature" data-smartmail="gmail_signature"><div dir="ltr" class=""><div class=""><div dir="ltr" class="">Shelley B. Brundage, Ph.D., CCC, BCS-F, Fellow-ASHA<div class="">Associate Professor</div><div class="">Speech, Language, and Hearing Sciences </div><div class="">George Washington University</div><div class=""><a href="https://maps.google.com/?q=2115+G+street+NW,+Suite+226+Washington,+DC+20052+Office+202&entry=gmail&source=g" class="">2115 G street NW, Suite 226</a></div><div class=""><a href="https://maps.google.com/?q=2115+G+street+NW,+Suite+226+Washington,+DC+20052+Office+202&entry=gmail&source=g" class="">Washington, DC 20052</a></div><div class=""><a href="https://maps.google.com/?q=2115+G+street+NW,+Suite+226+Washington,+DC+20052+Office+202&entry=gmail&source=g" class="">Office 202</a>) 994-5008 </div><div class="">Lab 202) 994-2005</div><div class=""><br class=""></div><div class="">*she/her pronouns</div></div></div></div></div>
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</font></span></blockquote></div><br class=""><br clear="all" class=""><div class=""><br class=""></div>-- <br class=""><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr" class=""><div class=""><div dir="ltr" class="">Shelley B. Brundage, Ph.D., CCC, BCS-F, Fellow-ASHA<div class="">Associate Professor</div><div class="">Speech, Language, and Hearing Sciences </div><div class="">George Washington University</div><div class="">2115 G street NW, Suite 226</div><div class="">Washington, DC 20052</div><div class="">Office 202) 994-5008 </div><div class="">Lab 202) 994-2005</div><div class=""><br class=""></div><div class="">*she/her pronouns</div></div></div></div></div>
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