## Machine Translation


## Machine Translation

#### 2019

| Title | Summary | Paper Source | TL;DR |
| ----- | ------- | ----- | ---- |
| Beyond BLEU: Training Neural Machine Translation with Semantic Similarity| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) |[Paper](https://www.aclweb.org/anthology/P19-1427) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#beyond-bleu-training-neural-machine-translation-with-semantic-similarity-chat)

#### 2017

| Title | Summary | Paper Source | TL;DR |
| ----- | ------- | ----- | ---- |
| Convolutional Sequence to Sequence Learning| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation)| [Paper](https://arxiv.org/pdf/1705.03122.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#convolutional-sequence-to-sequence-learning-s2s)
| Depthwise Separable Convolutions for Neural Machine Translation| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1706.03059.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#depthwise-separable-convolutions-for-neural-machine-translation-s2s)
| Attention Is All You Need| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1706.03762.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#attention-is-all-you-need-s2s)
| A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1708.00111.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#a-continuous-relaxation-of-beam-search-for-end-to-end-training-of-neural-sequence-models-s2s)
| Cold Fusion: Training Seq2Seq Models Together with Language Models| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1708.06426.pdf) | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#cold-fusion-training-seqseq-models-together-with-language-models-s2s)
| Dynamic Evaluation of Neural Sequence Models| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation)  | [Paper](https://arxiv.org/pdf/1709.07432.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#dynamic-evaluation-of-neural-sequence-models-s2s)
| Emergent Translation in Multi-Agent Communication| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1710.06922.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#emergent-translation-in-multi-agent-communication-s2s)
| Plan, Attend, Generate: Planning for Sequence-to-Sequence Models| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1711.10462.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#plan-attend-generate-planning-for-sequence-to-sequence-models-s2s)
| Unsupervised Machine Translation Using Monolingual Corpora Only| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1711.00043.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#unsupervised-machine-translation-using-monolingual-corpora-only-s2s)
| Classical Structured Prediction Losses for Sequence to Sequence Learning| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1711.04956.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#classical-structured-prediction-losses-for-sequence-to-sequence-learning-s2s)

#### 2016

| Title | Summary | Paper Source | TL;DR |
| ----- | ------- | ----- | ---- |
| Sequence-to-Sequence Learning as Beam-Search Optimization| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1606.02960.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#sequence-to-sequence-learning-as-beam-search-optimization-s2s)
| Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1606.04199.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#deep-recurrent-models-with-fast-forward-connections-for-neural-machine-translation-s2s)
| Temporal Attention Model for Neural Machine Translation| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1607.00970.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#temporal-attention-model-for-neural-machine-translation-s2s)
| Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1609.08144.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#googles-neural-machine-translation-system-bridging-the-gap-between-human-and-machine-translation-s2s)
| Can Active Memory Replace Attention?| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1610.08613.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#can-active-memory-replace-attention-s2s)
| Neural Machine Translation in Linear Time| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1610.10099.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#neural-machine-translation-in-linear-time-s2s)
| Unsupervised Pretraining for sequence to sequence learning| [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1611.02683.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#unsupervised-pretraining-for-sequence-to-sequence-learning-s2s)

#### 2014

| Title | Summary | Paper Source | TL;DR |
| ----- | ----- | ----- | ----- |
| Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation)  | [Paper](https://arxiv.org/pdf/1406.1078.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#learning-phrase-representations-using-rnn-encoderdecoder-for-statistical-machine-translation-s2s)
| Sequence to Sequence Learning with Neural Networks | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation)  |[Paper](https://arxiv.org/pdf/1409.3215.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#sequence-to-sequence-learning-with-neural-networks-s2s) |
| Neural Machine Translation by Jointly Learning to Align and Translate | [Contribute ✍️](https://github.com/dair-ai/nlp_paper_summaries/new/master/Machine%20Translation) | [Paper](https://arxiv.org/pdf/1409.0473.pdf) | [Richard Csaky](https://github.com/ricsinaruto/Seq2seqChatbots/wiki/Chatbot-and-Related-Research-Paper-Notes-with-Images#neural-machine-translation-by-jointly-learning-to-align-and-translate-s2s)
