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The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study
Verna Dankers
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Elia Bruni
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Dieuwke Hupkes
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Paper Details:
Month: May
Year: 2022
Location: Dublin, Ireland
Venue:
ACL |
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https://github
https://github.com/andreasvc/disco-dop
https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/data/
https://dl.fbaipublicfiles.com/flores101/dataset/flores101
https://github.com/i-machine-think/compositionality
https://github.com/pytorch/fairseq/tree/master/examples/scaling
https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl
https://github.com/moses-smt/mosesdecoder
https://github.com/rsennrich/subword-nmt/blob/master/subword
http://data.statmt.org/opus-100-corpus/v1.0/supervised/en-nl/
https://github.com/neulab/word-embeddings-for-nmt
https://github.com/pytorch/fairseq/blob/
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