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<div class="moz-cite-prefix">On 4/9/2014 3:40 PM, Andreas Stolcke
wrote:<br>
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<p class="MsoNormal"><b><span
style="font-size:11.0pt;font-family:"Calibri","sans-serif"">From:</span></b><span
style="font-size:11.0pt;font-family:"Calibri","sans-serif"">
Dmitriy Ivanko [<a class="moz-txt-link-freetext" href="mailto:dmitriy_ivanko@yahoo.com">mailto:dmitriy_ivanko@yahoo.com</a>]
<br>
<b>Sent:</b> Wednesday, April 9, 2014 5:19 AM<br>
<b>To:</b> Andreas Stolcke<br>
<b>Subject:</b> Create Phone Lattices<o:p></o:p></span></p>
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<p class="MsoNormal" style="background:white"><span
style="font-size:14.0pt;font-family:"Helvetica","sans-serif";color:black">Hello,
Andreas Stolcke !
<br>
Thank you for your programm "lattice-too.exe" in SRI LM.<br>
I'm sorry for my English.<br>
Can you help me. I try create N-gram Language Model
by using EM-algorithm and Lattices. I have lattices, but
I don't know: is it possible create Language Model,
using EM-algorithm?<br>
Like in article:<br>
<br>
"LANGUAGE RECOGNITION USING PHONE LATTICES" <b>J.L.
Gauvain</b>, A. Messaoudi, and H. Schwenk.<br>
<br>
Anyway thank you!<br>
Best Regards,<br>
Dmitriy Ivanko.<o:p></o:p></span></p>
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<br>
Yes, you can use <br>
<br>
lattice-tool -write-ngrams (plus options to specify the
lattices, ngram order etc.)<br>
<br>
to compute expected ngrams counts from lattices. The lattices
should be in HTK format. You can then estimate LMs from the
expected ngram counts (using ngram -float-counts ...).<br>
<br>
I have personally used this method to implement the Gauvain et al.
language recognition method, and it works great. I'm not sure how
well it works for other tasks.<br>
<br>
Andreas<br>
<br>
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