Hi,
W dniu 28.04.2015 o 16:06, Hieu Hoang pisze:
People have also been using the Common Crawl corpus to build huge
backoff LM. They're very difficult to use as it consumes a lot of memory
That's what I added pruning to KenLM for :) Also if you combine that
with some domain-filtering you get nice models form the common crawl
data. You might need a couble of TV of free disk space though.
Best,
Marcin
On 25/04/2015 20:24, Alla Rozovskaya wrote:
Hello,
I have built an interpolated count-based LM on the Google Web N-gram
corpus using SRILM toolkit, as specified here:
http://www.speech.sri.com/projects/srilm/manpages/srilm-faq.7.html
Is it possible to use it in moses? In particular, since this model
uses count files and a file specifying weights, what is the right way
to specify the path in moses.ini?
Thank you,
Alla
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Hieu Hoang
Researcher
New York University, Abu Dhabi
http://www.hoang.co.uk/hieu
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