Machine Translation and
Sequence-to-sequence Models

Content:

• Log Linear LM Formulation
• Learning Model Parameters
• Other Features for Language Modeling
• Potential and Problems with Combination Features
• A Brief Overview of Neural Networks
• Training Neural Networks
• An Example Implementation
• Neural-network Language Models

• Reading Material: Log-linear Language Models, Feed-forward Language Models

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