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<div style="direction: ltr;font-family: Tahoma;color: #000000;font-size: 10pt;">Hello Mike,<br>
<br>
Perhaps the following paper is of interest:<br>
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<p>Tim Van de Cruys. <a href="http://www.timvandecruys.be/media/papers/VandeCruys2011Two.pdf">
Two Multivariate Generalizations of Pointwise Mutual Information.</a> Proceedings of the ACL workshop Distributional Semantic and Compositionality (DISCO), pages 16–20, Portland, Oregon, USA.
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<p>Best,</p>
<p>Gerlof<br>
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<br>
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<div style="direction: ltr;" id="divRpF58421"><font color="#000000" face="Tahoma" size="2"><b>From:</b> corpora-bounces@uib.no [corpora-bounces@uib.no] on behalf of Mike Scott [mike@lexically.net]<br>
<b>Sent:</b> Tuesday, May 14, 2013 7:14 PM<br>
<b>To:</b> corpora@uib.no<br>
<b>Subject:</b> [Corpora-List] MI for more than 2 items<br>
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<div>I have had a query about MI (or any other similar statistic) involving more than two elements:<br>
<br>
<span style="color:rgb(34,34,34); font-family:Arial,Helvetica,sans-serif; font-size:13px; font-style:normal; font-variant:normal; font-weight:normal; letter-spacing:normal; line-height:normal; orphans:auto; text-align:start; text-indent:0px; text-transform:none; white-space:normal; widows:auto; word-spacing:0px; background-color:rgb(255,255,255); display:inline!important; float:none">"I
don't know how to calculate the Mutual Information (MI) for these 4-word lexical bundles, it seems I can only find the MI score for 2-word collocations."</span><br>
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Can anyone advise please?<br>
<br>
Cheers -- Mike<br>
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<pre class="moz-signature" cols="72">--
Mike Scott
***
If you publish research which uses WordSmith, do let me know so I can include it at
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***
University of Aston and Lexical Analysis Software Ltd.
<a class="moz-txt-link-abbreviated" href="mailto:mike.scott@aston.ac.uk" target="_blank">mike.scott@aston.ac.uk</a>
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