I have a problem with lattice decoding and optimizing input-feature weights. I
have edge weights in my lattice input (one per edge) and I defined one input
feature that I'd like to optimize using MERT. However, my the input feature
value is always 0 in the nbest lists even though none of the input edges has
value 1 (or 0). What do I do wrong?
My initial config file includes:
[feature]
InputFeature num-features=1 num-input-features=1 real-word-count=0
...
# dense weights for feature functions
[weight]
InputFeature0= 1
The lattice input is valid and looks like this:
((('word',0.8,1),('word',0.6,1), ....
MERT tuning fails in the end especially because the input feature cannot be set.
Any help is very much appreciated.
Thanks,
Jörg
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