Mike,<div><br></div><div>I've reviewed a few papers proposing more-than-two-word salience stats but I don't think any of them have produced linguistically convincing results.</div><div><br></div><div>In the Sketch Engine we've pursued a couple of other strategies to tackle the issue, see<br>

<ul style="font-family:Verdana,Arial,'Bitstream Vera Sans',Helvetica,sans-serif;background-color:rgb(243,243,243)"><li><a class="attachment" href="http://trac.sketchengine.co.uk/attachment/wiki/AK/Papers/multiwords.pdf?format=raw" title="Attachment 'multiwords.pdf' in AK/Papers" style="text-decoration:none;color:rgb(51,113,186);border-bottom-width:1px;border-bottom-style:dotted;border-bottom-color:rgb(187,187,187)">Finding Multiwords of More Than Two Words</a><a class="trac-rawlink" href="http://trac.sketchengine.co.uk/raw-attachment/wiki/AK/Papers/multiwords.pdf?format=raw" title="Download" style="text-decoration:none;color:rgb(51,113,186);border-bottom-style:none;background-image:url(http://trac.sketchengine.co.uk/chrome/common/download.png);padding-right:16px"></a><ul>

<li>Adam Kilgarriff, Pavel Rychly, Vojtech Kovar, Vit Baisa</li><li>in: <em>Proc. EURALEX </em>, Oslo, August. <a class="attachment" href="http://trac.sketchengine.co.uk/attachment/wiki/AK/Papers/Multiwds_ELX.pptx?format=raw" title="Attachment 'Multiwds_ELX.pptx' in AK/Papers" style="text-decoration:none;color:rgb(51,113,186);border-bottom-width:1px;border-bottom-style:dotted;border-bottom-color:rgb(187,187,187)">ppt</a><a class="trac-rawlink" href="http://trac.sketchengine.co.uk/raw-attachment/wiki/AK/Papers/Multiwds_ELX.pptx?format=raw" title="Download" style="text-decoration:none;color:rgb(51,113,186);border-bottom-style:none;background-image:url(http://trac.sketchengine.co.uk/chrome/common/download.png);padding-right:16px"></a></li>

</ul></li></ul><div class="gmail_quote">Best</div><div class="gmail_quote"><br></div><div class="gmail_quote">Adam</div><div class="gmail_quote"><br></div><div class="gmail_quote">On 14 May 2013 18:14, Mike Scott <span dir="ltr"><<a href="mailto:mike@lexically.net" target="_blank">mike@lexically.net</a>></span> wrote:<br>

<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
  
    
  
  <div text="#000000" bgcolor="#FFFFFF">
    I have had a query about MI (or any other similar statistic)
    involving more than two elements:<br>
    <br>
    <span style="text-indent:0px;letter-spacing:normal;font-variant:normal;text-align:start;font-style:normal;display:inline!important;font-weight:normal;float:none;line-height:normal;color:rgb(34,34,34);text-transform:none;font-size:13px;white-space:normal;font-family:Arial,Helvetica,sans-serif;word-spacing:0px">"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>
    <br>
    Can anyone advise please?<br>
    <br>
    Cheers -- Mike<span class="HOEnZb"><font color="#888888"><br>
    <br>
    <pre cols="72">-- 
Mike Scott

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</pre>
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<br></blockquote></div><br><br clear="all"><div><br></div>-- <br>========================================<br><a href="http://www.kilgarriff.co.uk/" target="_blank">Adam Kilgarriff</a>                  <a href="mailto:adam@lexmasterclass.com" target="_blank">adam@lexmasterclass.com</a>                                             <br>

Director                                    <a href="http://www.sketchengine.co.uk/" target="_blank">Lexical Computing Ltd</a>                <br>Visiting Research Fellow                 <a href="http://leeds.ac.uk" target="_blank">University of Leeds</a>     <div>

<i><font color="#006600">Corpora for all</font></i> with <a href="http://www.sketchengine.co.uk" target="_blank">the Sketch Engine</a>                 </div><div>                        <i><a href="http://www.webdante.com" target="_blank">DANTE: <font color="#009900">a lexical database for English</font></a><font color="#009900"> </font>                 </i><div>

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