the training does add glue rules for non-syntax models but you're using
a variant with syntax where you have to do it yourself.
DOwnload the small sample model and look in the tree-to-tree example to
see how it's done
http://www.statmt.org/moses/download/sample-models.tgz
Also, I hope you realise that these are research models. They don't
produce good results in practise and have largely been overtaken by
neural models
On 3/17/2022 10:16 PM, Oleg Parashchenko wrote:
Hello Hieu,
... You always need a glue rule
I assumed that training should create one. If I need to write one self,
where can I read the details? The page
https://www.statmt.org/moses/?n=Moses.SyntaxTutorial mentions only the
using of glue rules.
Can I have a look at your moses.ini file
I've put the whole model at
http://uucode.com/download/tmp/mini-hie-to-string.tar.gz,
here is the ini file:
```
#########################
### MOSES CONFIG FILE ###
#########################
# input factors
[input-factors]
0
# mapping steps
[mapping]
0 T 0
[cube-pruning-pop-limit]
1000
[non-terminals]
X
[search-algorithm]
3
[inputtype]
3
[max-chart-span]
20
1000
# feature functions
[feature]
UnknownWordPenalty
WordPenalty
PhrasePenalty
PhraseDictionaryMemory name=TranslationModel0 num-features=4
path=/share/mini-hie-to-string/model/rule-table.gz input-factor=0
output-factor=0 KENLM name=LM0 factor=0
path=/share/mini-hie-to-string/lm.en order=2
# dense weights for feature functions
[weight]
# The default weights are NOT optimized for translation quality. You MUST tune
the weights.
# Documentation for tuning is here:
http://www.statmt.org/moses/?n=FactoredTraining.Tuning
UnknownWordPenalty0= 1
WordPenalty0= -1
PhrasePenalty0= 0.2
TranslationModel0= 0.2 0.2 0.2 0.2
LM0= 0.5
```
Regards,
Oleg
On Thu, 17 Mar 2022 21:09:10 -0700
Hieu Hoang <hieuho...@gmail.com> wrote:
Can I have a look at your moses.ini file. You always need a glue rule
phrase take for scfg models to create the final output
...
--
Hieu Hoang
http://statmt.org/hieu
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