<div dir="ltr">Thank you so much! You have no idea how helpful this has been for me.<div><br></div><div>Best regards,</div><div>Simge<br><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div><br></div></div></div></div></div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Fri, Apr 26, 2019 at 4:29 PM Brian MacWhinney <<a href="mailto:macw@andrew.cmu.edu">macw@andrew.cmu.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div style="overflow-wrap: break-word;">You can add the +o3 switch, but then you need -t*CHI to exclude the child.<div><br></div><div>--Brian MacWhinney<br><div><br><blockquote type="cite"><div>On Apr 26, 2019, at 4:07 PM, Topaloglu, Simge <<a href="mailto:sit591@g.harvard.edu" target="_blank">sit591@g.harvard.edu</a>> wrote:</div><br class="gmail-m_4372221011060170876Apple-interchange-newline"><div><div dir="ltr">Thank you so much! I have one more question about frequency counts? Is there a way to combine them across different speakers (but not across different files)? Specifically, I would like to find out how many instances of "too" a child gets exposed to in each session, regardless of who produces it (excluding the child himself/herself).<div><br></div><div>Sorry about inundating you with questions, and thanks so much for patiently answering them. I can see how exasperating they can sound at times...<br><div><div dir="ltr" class="gmail-m_4372221011060170876gmail_signature"><div dir="ltr"><div dir="ltr"><div><br></div></div></div></div></div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Apr 25, 2019 at 9:32 PM Brian MacWhinney <<a href="mailto:macw@andrew.cmu.edu" target="_blank">macw@andrew.cmu.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div>Dear Simge,<div><br></div><div>Yes, you can track homophony across part of speech through the %mor line. For example, the ENG MOR program tags "too" as Result: post|too^adv|too and then POST disambiguates. So, you can search for either of these on the %mor line.<div><br></div><div>-- Brian MacWhinney<br><div><br><blockquote type="cite"><div>On Apr 25, 2019, at 8:24 PM, <a href="mailto:sit591@g.harvard.edu" target="_blank">sit591@g.harvard.edu</a> wrote:</div><br class="gmail-m_4372221011060170876gmail-m_-7026134366567047453Apple-interchange-newline"><div><div dir="ltr">Hi,<div><br></div><div>Is there a way to separate homophonous words in CHILDES using CLAN? For example, I am interested in looking at the token frequency of the additive focus particle "too" (e.g., <i>I ate an apple, too</i>) but I don't want it to be intermixed with the "too" that functions as an adverbial (e.g., <i>these shoes are too small for me</i>). How could I differentiate between them?</div><div><br></div><div>Thanks,</div><div>ST</div></div><div><br class="gmail-m_4372221011060170876gmail-m_-7026134366567047453webkit-block-placeholder"></div>
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