<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi,<div><br></div><div>Back-off weights are not probabilities: they can be greater than 1.</div><div>So, your values are normal. You can have some explanations about back-off weight computation here, particularly for the use of the modified Kneser-Ney discounting method:</div><div><a href="http://www.speech.sri.com/projects/srilm/manpages/pdfs/chen-goodman-tr-10-98.pdf">http://www.speech.sri.com/projects/srilm/manpages/pdfs/chen-goodman-tr-10-98.pdf</a></div><div><br></div><div>Regards,</div><div>Yannick Estève</div><div>LIUM - University of Le Mans</div><div>France</div><div><br></div><div><div><div>Le 27 août 09 à 09:21, 海龙 史 a écrit :</div><br class="Apple-interchange-newline"><blockquote type="cite"><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font-family: 宋体, simsun, serif; font-size: 12pt; "><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font-family: 宋体, simsun, serif; font-size: 12pt; "><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font-family: 'times new roman', 'new york', times, serif; font-size: 12pt; "><br class="Apple-interchange-newline"><br><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; font-family: 宋体, simsun, serif; font-size: 12pt; color: rgb(0, 0, 0); "><table width="100%" align="center" cellpadding="0" cellspacing="0"><tbody><tr><td valign="top" width="100%" bgcolor="#ffffff" height="100%"><table width="100%" align="center" cellpadding="0" cellspacing="0" height="100%" style="table-layout: fixed; "><tbody><tr><td valign="bottom" width="170" align="left"><br></td><td valign="top" style="overflow-x: hidden; overflow-y: hidden; white-space: nowrap; "><table width="100%" cellpadding="0" cellspacing="0" style="white-space: normal; position: static; z-index: auto; "><tbody><tr><td height="10"><br></td></tr><tr><td><font color="#000000" face="宋体, simsun, serif" size="2" style="font-family: 宋体, simsun, serif; font-size: 13px; color: rgb(0, 0, 0); "><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; ">I am a new student user of srilm from Asia.Here I used the command below to construct a interpolated mod-kn discount language model:<br>~ ngram-count -read merge_counts_1994-2003.gz -gt1min 0 -gt2min 0 -gt3min 2 -kndiscount -interpolate -order 3 -vocab ChWord.lexno -lm 1994-2003_lm_all_pruned.lm<br><br><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "> However in my model several N-grams' back-off werght(bow) appears to be greater than 1.That is ,in the text LM file,I've got a line:<br>-6.457229 <s> 1635 0.1270406<br>(Here we just use a kind of index to represent a chinese word)<br>in whitch the 1og10(bow) is greater than 0.We don't think a normal interplotate discount method can produce an N-gram bow greater than 1,besides this circumstance only occured to several(less than 5) different N-grams.So I am confused and would like to ask if there is someyone who encounterd this circumstance or happens to know what is wrong.<br>Thank you very much!<br><br></div>史海龙<br>Hailoon Shi<br>w63,EE Dpt.Thu Univ.PRC<br><br><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px; "><br></div></div></font></td></tr><tr><td height="100"><br></td></tr></tbody></table></td><td width="10"><br></td></tr></tbody></table></td></tr></tbody></table></div><a rel="nofollow" target="_blank" href="http://cn.rd.yahoo.com/mail_cn/tagline/card/*http://card.mail.cn.yahoo.com/"></a></div></div></div><br>__________________________________________________<br>赶快注册雅虎超大容量免费邮箱?<br><a href="http://cn.mail.yahoo.com">http://cn.mail.yahoo.com</a>_______________________________________________<br>SRILM-User site list<br><a href="mailto:SRILM-User@speech.sri.com">SRILM-User@speech.sri.com</a><br><a href="http://www.speech.sri.com/mailman/listinfo/srilm-user">http://www.speech.sri.com/mailman/listinfo/srilm-user</a></blockquote></div><br></div></body></html>