[Q] on mix-lm?
stolcke at speech.sri.com
Tue Mar 4 17:22:38 PST 2003
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I would like to add that while the ngram -bayes enables posterior-weighted
mixture, the special case -bayes 0 gives a weight of zero to the posterior,
effectively resulting in the standard context-independent linear interpolation
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Date: Tue, 04 Mar 2003 15:20:59 -0500
From: Woosung Kim <woosung at cs.jhu.edu>
Subject: Re: About -bayes option in "ngram" command
In-reply-to: <023b01c2e21b$1dcc0720$6314ce80 at speechwork>
To: Xiaolong Li <xlm7b at mizzou.edu>
Cc: srilm-user at speech.sri.com
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This is exactly the same question I asked before, so I can give
you the answer I got from Dr. Stolcke.
Maybe it needs to be more explicitly mentioned in the manual.
From: Andreas Stolcke <stolcke at speech.sri.com>
To: Woosung Kim <woosung at clsp.jhu.edu>
Subject: Re: [Q] on mix-lm?
Date: Thu, 03 Oct 2002 09:22:00 PDT
You cannot "-write-lm" a dynamically interpolated LM (this is also
mentioned in the man page). To evaluated such an LM (compute
perplexity, rescore nbest, etc.) you always give the component LMs and
the interpolation weights.
On Mon, 03 Mar 2003 22:56:00 -0800
Xiaolong Li <xlm7b at mizzou.edu> wrote:
> I met a problem in using "-bayes" option of "ngram" command when I want to interpolate two LM models (using posterier mixture weights). The below command doesn't work with an error message as "write() method not implemented".
> ngram -lm LM1 -mix-lm LM2 -bayes 0 -write-lm MIX_LM
> but it works when I use a priori mixture weights (without -bayes option)
> Could you help me? Thanks a lot.
> Hans Li
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