Factored LMs and interpolated models
Katrin Kirchhoff
katrin at ssli-mail.ee.washington.edu
Fri May 7 10:25:20 PDT 2004
In order to emulate the exact behaviour of ngram with fngram,
you need to use:
-no-virtual-begin-sentence
-nonull
and make sure that the smoothing options (smoothing method, gtmin, gtmax etc.)
in your FLM file correspond to the the same values that ngram uses.
E.g. for a standard trigram
ngram -lm <non-factored LM> -ppl <text>
and
fngram -factor-file <factored LM> -ppl <text> -no-virtual-begin-sentence -nonull
should give exactly the same perplexities. Andreas might be able to
say whether these are needed when using ngram with the -factored
option.
Katrin
> Still, I noticed a strange thing with perplexity calculation. Namely,
> the perplexity figures calculated by fngram and ngram are slightly
> different. I used the following options and got following results:
>
> fngram -ppl <testtext> -factor-file tmp/fngram_m.conf
>
> Result:
> 61 sentences, 1009 words, 26 OOVs
> 0 zeroprobs, logprob= -2760.87 ppl= 441.076 ppl1= 643.604
>
> ngram -factored -ppl <testtext> -lm tmp/fngram_m.conf 61 sentences, 1009
> words,
>
> Result:
> 26 OOVs 0 zeroprobs, logprob= -2761.16 ppl= 441.359 ppl1= 644.042
>
>
> --
>
> The above is for a FLM that in fact is standard word trigram. The
> difference is very small.
>
> However, when I test a FLM that is a word-given-two-previous-classes
> trigram, the difference is much larger:
>
> fngram -ppl <testtext> -factor-file tmp/fngram_c.conf
>
> 61 sentences, 1009 words, 26 OOVs
> 0 zeroprobs, logprob= - 2826.73 ppl= 510.034 ppl1= 750.963
>
> And the same with ngram:
>
> ngram -factored -lm tmp/fngram_c.conf -ppl <testtext>
>
> 61 sentences, 1009 words, 26 OOVs
> 0 zeroprobs, logprob= -2863.71 ppl= 553.378 ppl1= 818.917
>
>
> As you see, here the difference (ppl1= 750 vs 818) is significant. Could
> this be a configuration issue, a bug or have I understood smth wrong?
>
> Regards,
>
> Tanel Alumäe
--
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Katrin Kirchhoff
Dept of Electrical Engineering, University of Washington
M422 EE/CS Building, Box 352500, Seattle, WA, 98195
Phone: (206) 616 5494
katrin at ee.washington.edu
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