Amit Moryossef

Not sure, possibly it was in ionic 6. I have a screenshot service for my app (fastlane etc) and the current/expected behavior images are from it. that's where i noticed...

The reason I believe it is a problem with `pytorch-lightning` is that using normal torch autocasting works fine: ```py def test_training_step_bfloat16_expected_loss_finite(self): batch = MaskedTensor(torch.full((4, 3, *self.pose_dim), fill_value=2, dtype=torch.float)) model =...

the error is because **we** don't support this language, since we did not test it. if you want to add it, you need to add it https://github.com/sign-language-processing/spoken-to-signed-translation/blob/main/spoken_to_signed/bin.py#L65 Also, check out...

Hey there. I recently broke both hands so I'll be a lot slower to reply. What I see in your example is that you're using the simple lemmatizer that breaks...

The resource is available https://github.com/sign-language-processing/datasets/tree/master/sign_language_datasets/datasets/sign_wordnet and one just needs to make `download_lexicon.py` support this target

Both are german, but one is swiss german sign language, and the other is german sign language. No need to make a "complete new pipeline", just need to update https://github.com/sign-language-processing/spoken-to-signed-translation/blob/main/spoken_to_signed/download_lexicon.py...

It seems like they added some new languages. We need to add them to this dictionary here. https://github.com/sign-language-processing/datasets/blob/master/sign_language_datasets/datasets/sign_wordnet/sign_wordnet.py#L26

No DSGS is Swiss German sign language which is code SGG. Unfortunately, can't really check for you why it only downloads the English Word net, as I broke both my...

Probably a mistake: https://github.com/sign-language-processing/datasets/blob/54495b6230647a7001d1aecef3d68199dc699129/sign_language_datasets/datasets/wlasl/wlasl.py#L138

A similar issue, just with an empty prediction: ```py from evaluate import load bleu = load("bleu") prediction = "" reference = "test" print( bleu.compute( predictions=[prediction], references=[[reference]] )) ``` Leads to...