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<div class="moz-cite-prefix">Hi,<br>
<br>
Happy new Year from the Low Countries!<br>
<br>
I have long relied on the CMU-Cambridge Statistical Language
Modeling toolkit<br>
<br>
<a class="moz-txt-link-freetext" href="http://mi.eng.cam.ac.uk/~prc14/toolkit.html">http://mi.eng.cam.ac.uk/~prc14/toolkit.html</a><br>
<br>
Robust, scales and easy to use.<br>
<br>
Cheers,<br>
<br>
Martin<br>
<br>
On 01/01/2014 03:49 PM, Stone, Dan wrote:<br>
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cite="mid:ECAA9A337150BB4881E066761BA6C7E422552919@ex10mb03.ad.uky.edu"
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<p class="MsoNormal"><span>Hello,
</span></p>
<p class="MsoNormal"><span> </span></p>
<p class="MsoNormal"><span>Happy new year from the Eastern US!
</span></p>
<p class="MsoNormal"><span> </span></p>
<p class="MsoNormal"><span>I’m looking for easy-to-use software
(or code, if necessary) to search for all n word phrases in
large texts. Any suggestions?
</span></p>
<p class="MsoNormal"><span> </span></p>
<p class="MsoNormal"><span>Thanks,
</span></p>
<p class="MsoNormal"><span> </span></p>
<p class="MsoNormal"><span>Dan Stone</span></p>
<p class="MsoNormal"><span>Univ. of Kentucky</span></p>
<p class="MsoNormal"><span> </span></p>
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