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<div class="moz-cite-prefix">On 12/11/2013 5:40 AM, Laatar Rim
wrote:<br>
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<blockquote
cite="mid:1386769259.94283.YahooMailNeo@web173202.mail.ir2.yahoo.com"
type="cite">
<div style="color:#000; background-color:#fff; font-family:times
new roman, new york, times, serif;font-size:12pt">Hello,<br>
Tahnk you so much , another question how can i interpret this
result ? <br>
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The same way you interpret a standard LM. The class-based LM just
uses a different way to compute the word probabilities.<br>
<br>
Check the tutorials that are linked to at
<a class="moz-txt-link-freetext" href="http://www.speech.sri.com/projects/srilm/manpages/">http://www.speech.sri.com/projects/srilm/manpages/</a>, for example, the
<a href="http://www.stanford.edu/class/cs224s/lec/224s.09.lec11.pdf">lecture
by Jurafsky </a>. <br>
The interpretation of perplexity (= average branching factor) is the
same no matter what type of LM you are using.<br>
<br>
Andreas<br>
<br>
<br>
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