The ngram-count man page says
-gtnmax count
where n is 1, 2, 3, 4, 5, 6, 7, 8, or 9. Set the
maximal count of N-grams of order n that are dis-
counted under Good-Turing. All N-grams more fre-
quent than that will receive maximum likelihood
estimates. Discounting can be effectively disabled
by setting this to 0.
Therefore, you can disable smoothing with
ngram-count -gt1max 0 -gt2max 0 -gt3max 0 ...
--Andreas
In message <40726957.3070101 at ADDRESS HIDDEN>you wrote:
> Hello,
>
> I also have a little question about SRILM. How can I infer a trigram (or
> bigram, or tetragram...) with no smoothing at all? I need to do some
> experiments to check the effect of n-gram smoothing in my models and I
> need a pure trigram with no probability mass derived to lower levels. Is
> this possible in SRILM? I need to be sure that I really get a trigram
> (with the whole trigram probabilities).
>
> Thank you very much in advance for your help and attention!
> David
>
> --
> David Picó-Vila
> Universitat Politècnica de València
> Departament de Sistemes Informàtics i Computació
> València, Spain
>
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