Hello Madori,
the query command is specific to n-gram LMs in the ARPA format (or a
compiled format of KenLM).
Here is how you can measure log probabilities with RDLM (or NPLM in
general):
1. extract the n-grams (for NPLM) or syntactic n-grams (for RDLM) from
the test set, with the same settings that you used for training. For
RDLM, the relevant script is in
mosesdecoder/scripts/training/rdlm/extract_syntactic_ngrams.py
2. use the testNeuralNetwork binary from NPLM:
nplm/src/testNeuralNetwork --test_file [your_extracted_ngrams]
--model_file [your_model]
Note that with RDLM, there are two models, and you'll need to extract a
test set for each (with the '--mode' argument): one for predicting words
given a dependency label, one for predicting dependency labels.
best wishes,
Rico
On 07.07.2016 02:34, IKEDA Madori wrote:
Hello,
I'm trying to evaluate fluentness of text based on RDLM,
and I think query command can do that like described in Moses manual
Sec. 2.3.4.
The question is how can I use the query command with RDLM ?
RDLM is constructed and separated into two files (head / label mode)
in Moses (in the manual Sec. 5.13.11).
I don't know how to assign the files to the query command.
Please anyone tell me the usage.
Now, I have both head and label mode files of RDLM
and text files containing sentences of which I want to evaluate
fluentness.
Thank you.
Best,
Madori
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