<html><head><meta http-equiv="content-type" content="text/html; charset=us-ascii"></head><body style="overflow-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;">Hi Veronica,<div><br></div><div><span class="Apple-tab-span" style="white-space:pre"> </span>EVAL counts words on %mor tier and default FREQ command counts words on speaker tier. If your data has a lot of contractions words, then numbers will be different. For example, word (can't) will counted by FREQ as 1 word. But, because on %mor tier this word is represented as (can) and (not) EVAL will count it as 2 words.</div><div><br></div><div>You can see the difference if you run FREQ command on %mor tier. For example, command "freq +t%mor ..."</div><div><div>
<div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Arial; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; 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; text-decoration: none;"><br class="Apple-interchange-newline"><br></div><div style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-family: Arial; font-size: 16px; font-style: normal; font-variant-caps: normal; font-weight: 400; 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; text-decoration: none;">Leonid.</div>
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<div><br><blockquote type="cite"><div>On Mar 14, 2025, at 15:06, Veronica Fletcher <veronica.n.fletcher@gmail.com> wrote:</div><br class="Apple-interchange-newline"><div>Hi all,<br>Our lab is noticing that we receive different Type and Token output values, depending on whether our transcripts are run through EVAL (which I believe uses FREQ counts to calculate TTR?) versus run directly through the FREQ command.<div><br></div><div>Here is some sample data from Transcript A. The same file was used for both analyses:</div><div>FREQ_types (from EVAL): 166</div><div><span width="200" style="border-collapse: collapse; width: 150pt;"><span height="20" style="height: 15pt;"><span width="100" align="right" style="width: 75pt;">FREQ_tokens (from EVAL): 596<br>Types (from FREQ): 189</span></span></span></div><div><span width="200" style="border-collapse: collapse; width: 150pt;"><span height="20" style="height: 15pt;"><span width="100" align="right" style="width: 75pt;">Tokens (from FREQ): 593</span></span></span></div><div><span width="200" style="border-collapse: collapse; width: 150pt;"><span height="20" style="height: 15pt;"><span width="100" align="right" style="width: 75pt;"><br></span></span></span></div><div><span width="200" style="border-collapse: collapse; width: 150pt;"><span height="20" style="height: 15pt;"><span width="100" align="right" style="width: 75pt;">What could be accounting for these differences? Apologies if this is a silly question - I could not find anything in the CLAN manual that would explain this.</span></span></span></div><div><span width="200" style="border-collapse: collapse; width: 150pt;"><span height="20" style="height: 15pt;"><span width="100" align="right" style="width: 75pt;"><br>Veronica<br>The Aphasia Network Lab, Northeastern University</span></span></span></div><div><br class="webkit-block-placeholder"></div>
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