cahce based models
j.ganitkevitch at googlemail.com
Wed Mar 7 17:14:21 PST 2007
if I'm correctly interpreting your question, the LM subclass CacheLM
provides a simple cache component implementation.
Word probability is boosted if the very same word occured in a window
of the last N words (more occurencies yield higher probability). You
get ngram to interpolate whatever model you're using with a cache
component using -cache. The source code of this one is very
straightforward if you're interested in the details.
If you're looking for the original papers, Kuhn and De Mori published
on this in 1990 (as to my knowledge at least).
Hope this helps.
Cheers from Aachen,
On 8. Mar, 2007, at 01:17, Hani Safadi wrote:
> I would like to get more information on the cache-based models
> implemented in SRILM. and how to use them.
> The paper briefly mentions them, and there is no information in the
> man pages.
> Looking forward to hearing from you.
> Best wishes,
> Hani Safadi
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