
# Seq2seq + Attention

Pytorch implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/abs/1409.0473). Trained on the [Multi30k-de-en](http://www.statmt.org/wmt16/multimodal-task.html#task1) dataset with sentencepiece as the tokenizer.    

Here's the attention heatmap of a random sample from the test set:

![attention-heatmap](attention-heatmap.png)

{"language": ["de", "en"], "license": "mit", "tags": ["translation", "pytorch"], "datasets": ["multi30k"], "metrics": ["bleu"], "model-index": [{"name": "multi30k", "results": [{"task": {"type": "translation"}, "dataset": {"name": "multi30k-de-en", "type": "multi30k"}, "metrics": [{"type": "bleu", "value": 33.468, "name": "Test BLEU", "args": "n_gram=4"}]}]}]}
tensorboard translation pytorch de en dataset:multi30k arxiv:1409.0473 license:mit model-index has_space region:us
TAGS
#tensorboard #translation #pytorch #de #en #dataset-multi30k #arxiv-1409.0473 #license-mit #model-index #has_space #region-us 


# Seq2seq + Attention

Pytorch implementation of Neural Machine Translation by Jointly Learning to Align and Translate. Trained on the Multi30k-de-en dataset with sentencepiece as the tokenizer.    

Here's the attention heatmap of a random sample from the test set:

!attention-heatmap

# Seq2seq + Attention

Pytorch implementation of Neural Machine Translation by Jointly Learning to Align and Translate. Trained on the Multi30k-de-en dataset with sentencepiece as the tokenizer.    

Here's the attention heatmap of a random sample from the test set:

!attention-heatmap
TAGS
#tensorboard #translation #pytorch #de #en #dataset-multi30k #arxiv-1409.0473 #license-mit #model-index #has_space #region-us 
 # Seq2seq + Attention

Pytorch implementation of Neural Machine Translation by Jointly Learning to Align and Translate. Trained on the Multi30k-de-en dataset with sentencepiece as the tokenizer.    

Here's the attention heatmap of a random sample from the test set:

!attention-heatmap
passage: TAGS
#tensorboard #translation #pytorch #de #en #dataset-multi30k #arxiv-1409.0473 #license-mit #model-index #has_space #region-us 
# Seq2seq + Attention

Pytorch implementation of Neural Machine Translation by Jointly Learning to Align and Translate. Trained on the Multi30k-de-en dataset with sentencepiece as the tokenizer.    

Here's the attention heatmap of a random sample from the test set:

!attention-heatmap