Hi Andreas,
my problem is that I use different data for both models. The
word-based model uses a text consisting of recognized words, POS-based
class model uses a text consistig of recognized words' POS. I have
estimated this model simply by using the ngram-count tool from the
text where words were replaced by their POS tags.
POS-based classes are also not typical "simple classes"...
Robert
P.S.
It would be ideal to gain the interpolation weights by SRILM as well;-)
>
> In message <200407201526.i6KFQNr4006030 at ADDRESS HIDDEN>you wrote:
> > Hello SRILM users!
> > Does anybody know if there is an implementation of interpolation
> > weights in SRILM? I have an ordinary word-based ngram and
> > part-of-speech-based ngram and want to interpolate them to create HMM
> > model for disfluency detection (using hidden-ngram tool). Is it
> > possible to do it directly in SRILM?
>
> By using the options
>
> -lm
> -classes
> -simple-classes
> -lambda
> -mix-lm
>
> with hidden-ngram you can tell it to use an interpolated LM where
> (one or both of) the component models are class-based.
>
> For details see the man page.
>
> --Andreas
>
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