Comments (4)
Ok... yah I was able to get point 1 to work with a bit of tinkering in count.cpp.
The 2 command lines I was running are:
./count ../test_data/1Billion.1M 1 --tmp tmp_dir --ram 0.25 --out 1-grams
./count ../test_data/1Billion.1M 2 --tmp tmp_dir --ram 0.25 --out 2-grams
I just modified the code that was blocking that on lines 53-56:
if (config.max_order < 1 or config.max_order > global::max_order) {
std::cerr << "invalid language model order" << std::endl;
return 1;
}
After I did that it all worked ok... for some reason it was blocking n-grams <= 2
If you're interested I can show you the project we're working on using this tool... you might find it interesting... I'll contact you directly for that.
Cheers and thanks again for all you hard work and open source contributions in this area,
Michael
from tongrams_estimation.
Just reflecting on this, I guess you kind of have this information in the "arpa" file output in Tongrams.
But it would be useful for that kind of information with counts.
from tongrams_estimation.
Hello @misner5,
and thank you for your kind words. Happy to know you found Tongrams useful.
I may have not understood what you mean in point 1 above. The n-gram length (i.e., the "n") is an input for the tool. So if you specify n=2
then you count n-grams of 1 and 2 words as you say. By default, I'm counting all n-grams of length 1..n.
Feature 2 could be nice to add. Right now I'm counting everything without pruning as it seems what it is done by other tools like KenLM.
Best,
-Giulio
from tongrams_estimation.
Hi @misner5, good to know you got what you wanted.
Thank you for your message! I just replied to you.
Best,
-Giulio
from tongrams_estimation.
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from tongrams_estimation.