Comments (4)
I doubt anyone will look into it. Why is it a problem? In fact, I'm surprised cpu=1 is deterministic
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Well... since there is not a proper documentation where I could look into it, I thought it was not the expected. Since you are not surprised about this, am I wrong thinking that to be non-deterministic is the expected?
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you're right that the results should be determinstric or non-deterministic regardless of how many threads are used.
I don't know the code that well so don't take my word for it. In my mind, it should be non-determistic during training due to randomness in word clustering. However, you seem to find the it non-deter. even during inference. That could be an issue.
I'm not sure who can come to your rescue, mgiza is abadonware these days. Perhaps @edwardgao, the original author has some time
Btw, running the command with your data crashes for me. I'm not sure if that has anything to do with it
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I have run the commands again and they work for me. Have you run
cat corpus.fr-en.cooc.1 corpus.fr-en.cooc.2 > corpus.fr-en.cooc
? I had to split the file to be able to upload it to the issue.
If you share the log perhaps I could find if something is wrong in my installation.
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Related Issues (18)
- Cannot install, "undefined symbols for architecture" HOT 5
- why do i get permission HOT 1
- Please don't create new issues
- Need Documentation and Usage . HOT 3
- Web site unreachable HOT 4
- Has the constrained EM training mentioned in 《EMDC: A Semi-supervised Approach for Word Alignment》been added in this version? HOT 1
- library not found for -lrt HOT 1
- mgiza++ force alignment: segmentation fault when reloading a big N table HOT 6
- shit readme HOT 5
- Problem with building probabilistic dictionaries HOT 2
- seg fault all the time HOT 1
- sentences lost when runs force_align HOT 2
- cmke error HOT 3
- mgiza goes segmentation fault when USER environment variable is not set HOT 2
- Error in running mgiza, one thread return error code 139 HOT 12
- broken homepage link HOT 1
- How to run mgiza for incremental training? HOT 1
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