<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Besides the command lines that I gave you in my previous email, the other solution is to use "furry [:: fairy]" coding. Notice two ':' characters instead of one. This code will tell MOR command to put the word "furry" on %mor tier instead of the word "fairy". This solution only works if the actual word spoken by a subject is a real word. Otherwise, you will get "?|..." on %mor tier meaning that the word is not recognized. Also, this solution will not ignore the error word as you seem to want to do.<div class=""><br class=""></div><div class="">The question is whether you want to simply ignore the [: target] error word, like word "fairy", or do you want to ignore any erroneously spoken words altogether, like the whole "furry [:: fairy]" structure.</div><div class=""><br class=""></div><div class="">If you want to ignore the whole erroneously spoken word, then you need to use one the command lines below depending on whether you want words from speaker tier or lemmas from %mor tier:</div><div class=""><br class=""></div><div class="">freq -sm** -sm@* +sm;fairy +sm;Cinderella +sm;stair Content_Tester.cha</div><div class=""><br class=""></div><div class=""><div style="margin: 0px; line-height: normal; font-family: 'Arial Unicode MS';" class="">freq -s"<**>" -s"<: *>" +sfairy +sCinderella +sstairs Content_Tester.cha</div></div><div class=""><div class="">
<div style="color: rgb(0, 0, 0); font-family: 'Lucida Grande'; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;"><br class="Apple-interchange-newline"><br class=""></div><div style="color: rgb(0, 0, 0); font-family: 'Lucida Grande'; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px;">Leonid.</div>
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<br class=""><div><blockquote type="cite" class=""><div class="">On Sep 14, 2017, at 07:28, Brielle Stark <<a href="mailto:brielle.stark@gmail.com" class="">brielle.stark@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="auto" class="">Yes, so I suppose what I am asking is whether there is something that can tell the mor command to be computed ignoring the [: target] errors? This is the only way I can think of solving my question.<div dir="auto" class="">Thanks,</div><div dir="auto" class="">Brie</div></div><div class="gmail_extra"><br class=""><div class="gmail_quote">On Sep 13, 2017 16:51, "Leonid Spektor" <<a href="mailto:spektor@andrew.cmu.edu" class="">spektor@andrew.cmu.edu</a>> wrote:<br type="attribution" 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" class="">Brie,<div class=""><br class=""></div><div class=""><span class="m_-4801907195631237061Apple-tab-span" style="white-space:pre-wrap"> </span>The answer depends on whether you are interested in words on speaker tier or lemmas on %mor tier. Your command lines ask for both. I have changed you sample file "Content_Tester.cha" by adding word "fairy" that is not an error or a replacement, so you should get 1 "fairy" count in the output of the following two command lines:</div><div class=""><br class=""></div><div class="">For "fairy" lemmas, except errors and target replacement, you want:</div><div class=""><br class=""></div><div class="">freq -sm** -sm@* +sm;fairy Content_Tester.cha<br class=""><div class=""><br class="m_-4801907195631237061webkit-block-placeholder"></div><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="">For "fairy" words on speaker tier, except errors and target replacement, you want:</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=""><br class=""></div><div style="text-align:start;text-indent:0px" class="">freq -s<**> -s<:*> +sfairy Content_Tester.cha</div><div style="text-align:start;text-indent:0px" class=""><br class="m_-4801907195631237061Apple-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><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=""></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=""></div></div></div></div><div class=""><br class="webkit-block-placeholder"></div>
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<br class=""><div class=""><blockquote type="cite" class=""><div class="">On Sep 13, 2017, at 13:49, Brielle Stark <<a href="mailto:brielle.stark@gmail.com" target="_blank" class="">brielle.stark@gmail.com</a>> wrote:</div><br class="m_-2618144818571945619Apple-interchange-newline"><div class=""><div dir="ltr" class="">Hello all.<div class=""><br class=""></div><div class="">I have a question about calculating word frequency. We're working with aphasia participants who will often make mistakes, and when they do make mistakes, we'll put in the intended word into [: target] if we know what the intention was. However, I do not want to count [: target] words in the frequency tally of words. Basically, if someone said furry [: fairy] in one instance, and I am looking for a frequency count of the correctly spoken 'fairy,' I want the frequency calculation for 'fairy' to be 0, thus ignoring the word in the target. Further, I'd also like to run for lemmas and not morphological changes. In other words, if I'm looking for "stair," I want 'stairs' to be counted in the frequency of 'stair' usage.</div><div class=""><br class=""></div><div class=""><i class="">Detail:</i><br class=""><div class=""><br class=""></div><div class="">When I run the command:</div><br class=""><i class="">freq </i><i class="">-sm** -sm@* </i><i class="">+sCinderella +sstair +sfairy</i></div><div class=""><br class="">on the attached transcript [completely made up, by the way], it evaluates the %mor line but doesn't ignore the target [: target] words like I thought it would. It does do the correct job in tagging 'stair' even though the participant said 'stairs,' a correct usage from the %mor line. Output of frequency for this command was:<div class="">Cinderella: 1</div><div class="">stair: 1</div><div class="">fairy: 1</div><div class=""><br class=""></div><div class="">However, as I said, I wouldn't want the incorrect furry [: fairy] to count. So, I tried:<br class=""><br class=""><i class="">freq -sm** -sm@* +t*PAR +sCinderella +sstair +sfairy</i><div class=""><br class=""></div><div class="">Now that I've told CLAN to stick to the speaker tier, it then ignores 'stair' because 'stairs' was written, which isn't what we were going for. However, it correctly does not look within the [: target] and correctly states that 'fairy' was said 0 times. As an added point, I've also found that when I run the above command on transcripts, it sometimes gets the counts incorrect. For this command, I get the count:</div></div><div class="">Cinderella: 1</div><div class="">stair: 0</div><div class="">fairy: 0</div><div class=""><br class=""></div><div class="">So basically, is there any way to tell CLAN to run the analysis on the %mor tier for frequencies of words [specifically, lemmas], but somehow to specify to ignore [: target] words on the speaker tier? </div><div class=""><br class=""></div><div class="">In an ideal world, from the attached transcript, I'd be getting the frequency counts as:</div><div class="">Cinderella: 1</div><div class="">stair: 1</div><div class="">fairy: 0</div><div class=""><br class=""></div><div class="">Thank you very much,<br class=""></div><div class=""><br class=""></div><div class="">Brie</div><div class=""><br class=""></div>-- <br class=""><div class="m_-2618144818571945619gmail_signature"><div dir="ltr" class=""><div class=""><div dir="ltr" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div class=""><div dir="ltr" class=""><font face="georgia, serif" class=""><i class="">Brielle Stark, PhD</i></font></div><div dir="ltr" class=""><font face="garamond, serif" color="#666666" class="">Post Doctoral Fellow in Communication Sciences and Disorders, University of South Carolina<br class="">t: <a href="tel:(803)%20777-9240" value="+18037779240" target="_blank" class="">+1 803-777-9240</a>, </font><font face="garamond, serif" style="color:rgb(102,102,102)" class="">alternate em</font><font face="garamond, serif" size="2" style="color:rgb(102,102,102)" class="">ail: <a href="mailto:stark2@mailbox.sc.edu" target="_blank" class="">stark2@mailbox.sc.edu</a></font></div></div><div class=""><div class=""><font face="garamond, serif" color="#666666" size="2" class="">Aphasia Lab: <a href="http://web.asph.sc.edu/aphasia/" target="_blank" class="">http://web.asph.sc.edu/<wbr class="">aphasia/</a><br class="">Center for the Study of Aphasia Recovery: <a href="http://web.asph.sc.edu/cstar/" target="_blank" class="">http://web.asph.sc.<wbr class="">edu/cstar/</a></font></div></div></div></div></div></div></div></div>
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