Comments (2)
yanfan0531
commented on July 20, 2024
Oh is it because self.mapping is first initialized as diagonal matrix so that in crosslingual evaluation, actually it does nothing to the exported embeddings?
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glample
commented on July 20, 2024
evaluate.py will load the embeddings, and do the L2 normalization automatically to compute the cosine distance. As you noticed, the mapping will be set to the identity by default when you load evaluate.py, so the embeddings won't be modified:
Lines 62 to 63 in 35e5fed
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Related Issues (20)
- why unsupervised can achieve Word alignment?
- Can some one give the dictionary tree of the whole project? Like in the data/crosslingual or monlingual/.. HOT 5
- non-parallel chinese traditional - english
- evaluate.py error
- openssl ssl_read ssl_error_syscall errno 110
- Reproducing Results in Table 1 HOT 1
- IndexError: index out of range in self
- AttributeError: 'Namespace' object has no attribute 'dico_max_rank'
- Assertion Error while using the unsupervised way.
- Tokenization issue in to-En bilingual dictionaries
- They hated the kid HOT 1
- Bad outcome in ja-en task HOT 1
- Rush Shhh INPUT aUTOMATION
- ValueError: too many values to unpack (expected 2) in unsupervised.py
- Will pytorch's deprecation of volatile affect the result?
- [ML Question] Is it possible somehow to translate two or three words ?
- Tried on GloVe?
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