cahce based models

[Juri Ganitkevitch]

Hi Hani,

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,

Juri



On 8. Mar, 2007, at 01:17, Hani Safadi wrote:

> Hi,
> 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.
> Thanks
> -- 
> Looking forward to hearing from you.
> Best wishes,
> Hani Safadi