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Summary: Code for our NeurIPS paper [Levenshtein Transformer](https://arxiv.org/abs/1905.11006) * Added Levenshtein Transformer model, task and criterion class * Added iterative NAT Transformer, insertion Transformer and CMLM Transformer model class for baselines * Add an option for prepending BOS to dictionary class and translation task class Reviewed By: myleott Differential Revision: D17297372 fbshipit-source-id: 54eca60831ae95dc721c2c34e882e1810ee575c7 |
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.. | ||
speech_recognition | ||
__init__.py | ||
test_average_checkpoints.py | ||
test_backtranslation_dataset.py | ||
test_binaries.py | ||
test_character_token_embedder.py | ||
test_concat_dataset.py | ||
test_convtbc.py | ||
test_dictionary.py | ||
test_iterators.py | ||
test_label_smoothing.py | ||
test_memory_efficient_fp16.py | ||
test_multi_corpus_sampled_dataset.py | ||
test_noising.py | ||
test_reproducibility.py | ||
test_resampling_dataset.py | ||
test_sequence_generator.py | ||
test_sequence_scorer.py | ||
test_sparse_multihead_attention.py | ||
test_token_block_dataset.py | ||
test_train.py | ||
test_utils.py | ||
utils.py |