<div dir="ltr">Dear Chibolters,<br><br>We
would like to have separate counts for both utterances and turns,
taking into account linguistic, verbal, and non-verbal contributions.
For example:<br><br><div>*CHI: 0. <br></div><span><div>%act: points to a cookie<br></div></span>*MOT: okay .<div>*CHI: &baba .</div><div>*MOT: go for it .</div><div>*CHI: baby .</div><span></span><br>We see in this example:<br>- 3 turns by the child: 1 non-verbal (pointing), 1 verbal non-linguistic (&baba), and 1 linguistic (baby); <br>-
2 utterances by the child (because utterances cannot be non-verbal): 1
verbal non-linguistic (&baba), and 1 linguistic (baby)<br><div><br></div>MLT
on the sample above yields 3 utterances and 3 turns. If we MOR it and
MLU the output, then we find 1 utterance. Is there a simple way to
extract the other subtypes? Or should we add by hand codes such as:<br><br><div>*CHI: 0. [- verbal]<br></div><span><div>%act: points to a cookie<br><span><div>%<span>trn</span>: $TUR</div></span></div></span>*MOT: okay .<div>*CHI: &baba .</div><div>*MOT: go for it .</div><div>*CHI: baby . <br><br></div><div>To exclude non-verbal turns from MLT:<br></div><div><div>> MLT -s"[- verbal]" @ </div><span><div>mlt -s"[- verbal]" @</div><div>Fri Oct 30 09:57:59 2015</div><div>mlt (17-Apr-2015) is conducting analyses on:</div><div> ALL speaker tiers</div><div>******************************<wbr>**********</div><div>From file </Users/alejandrastein/<wbr>Desktop/prueba.cha></div><div>MLT for Speaker: *CHI:</div><div> MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED in utterance counts):</div><div> Number of: utterances = 2, turns = 2, words = 1</div><div><span style="white-space:pre-wrap"> </span>Ratio of words over turns = 0.500</div><div><span style="white-space:pre-wrap"> </span>Ratio of utterances over turns = 1.000</div><div><span style="white-space:pre-wrap"> </span>Ratio of words over utterances = 0.500</div><div><br clear="none"></div></span></div><div>To count only non-verbal turns:<br><div dir="ltr">> keymap +b$TUR* +t%<span>trn</span> @ </div><span><div>keymap +b$tur* +t%<span>trn</span> @</div><div>Fri Oct 30 09:59:12 2015</div><div>keymap (17-Apr-2015) is conducting analyses on:</div><div> ALL speaker tiers</div><div><span style="white-space:pre-wrap"> </span>and those speakers' ONLY dependent tiers matching: %<span>TRN</span>;</div><div>******************************<wbr>**********</div><div>From file </Users/alejandrastein/<wbr>Desktop/prueba.cha></div><div>Speaker *CHI:</div><div> Key word "$tur" found 1 time</div></span><br></div>Incidentally, the CLAN manual does refer to non-verbal turns twice; on p. 34:<br><br>
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<p style="margin-left: 40px;"><i><span style="font-size:14pt;font-family:"Times";font-weight:700">5.4 MLT Analysis
</span></i></p><div style="margin-left: 40px;"><i>
</i></div><p style="margin-left: 40px;"><i><span style="font-size:12pt;font-family:"Times"">The third analysis we will perform is to compute MLT (Mean Length of Turn) for
both child and mother. Note that, unlike the MLU program, the CLAN program MLT
includes the symbols xxx and yyy in all counts. Thus, utterances that consist of only
unintelligible vocal material still constitute turns, as do nonverbal turns indicated by the
postcode [+ <span>trn</span>] as illustrated in the following example:
</span></i></p><div style="margin-left: 40px;"><i>
</i></div><p style="margin-left: 40px;"><i><span style="font-size:10pt;font-family:"Courier";font-weight:700">*CHI: 0.[+ <span>trn</span>]<br>
%gpx: CHI points to picture in book <br></span></i></p><p style="margin-left: 40px;">
</p><div title="Page 34"><div style="margin-left: 40px;"><i>
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</i><i>
</i></div><div><div><p style="margin-left: 40px;"><i><span style="font-size:12pt;font-family:"Times"">We can use a single command to run our complete analysis and put all the results into a
single file.
</span></i></p><div style="margin-left: 40px;"><i>
</i></div><p style="margin-left: 40px;"><i><span style="font-size:10pt;font-family:"Courier";font-weight:700">mlt *.cha > allmlt.cex <br></span></i></p><p><br></p><p>However, as far as we can see, with or without [+ trn] one gets the same results using the example provided in the manual (<i><span style="font-size:10pt;font-family:"Courier";font-weight:700">*CHI: 0.[+ <span>trn</span>]</span></i>):</p><div class="yj6qo ajU"><div data-tooltip="Masquer le contenu abrégé" id=":1vf" class="ajR" role="button" tabindex="0"><img class="ajT" src="https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gif"></div></div><div class="adL"><div class="im"><p><b>WITH TRN</b></p><p>> mlt @<br>mlt @<br>Fri Nov 13 09:37:51 2015<br>mlt (09-Sep-2015) is conducting analyses on:<br> ALL speaker tiers<br>******************************<wbr>**********<br>From file </Users/acristia/Dropbox/ANR_<wbr>argentina/transcriptions/test.<wbr>cha><br>MLT for Speaker: *CHI:<br> MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED in utterance counts):<br> Number of: utterances = 1, turns = 1, words = 0<br> Ratio of words over turns = 0.000<br> Ratio of utterances over turns = 1.000<br> Ratio of words over utterances = 0.000</p><p><br></p><p><b>WITHOUT TRN (i.e., I removed [+ trn] from </b><i><span style="font-size:10pt;font-family:"Courier";font-weight:700">0.[+ <span>trn</span>]</span></i><span style="font-size:10pt;font-family:"Courier";font-weight:700">)</span></p><p>> mlt @<br>mlt @<br>Fri Nov 13 09:38:32 2015<br>mlt (09-Sep-2015) is conducting analyses on:<br> ALL speaker tiers<br>******************************<wbr>**********<br>From file </Users/acristia/Dropbox/ANR_<wbr>argentina/transcriptions/test.<wbr>cha><br>MLT for Speaker: *CHI:<br> MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED in utterance counts):<br> Number of: utterances = 1, turns = 1, words = 0<br> Ratio of words over turns = 0.000<br> Ratio of utterances over turns = 1.000<br> Ratio of words over utterances = 0.000</p><p><br></p><p>Thank you all in advance for your help,</p>Alex Cristia</div></div>
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