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  • Getting Started
  • Experiment configuration file format
  • Translator Structure
  • Preprocessing
  • API Doc
  • Programming Conventions
  • Writing XNMT classes
  • Save File Format
  • Visualization
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eXtensible Neural Machine Translation¶

This is a repository for the extensible neural machine translation toolkit xnmt. It is coded in Python based on DyNet.

  • Getting Started
    • Prerequisites
    • Command line tools
    • Running the examples
    • Running recipes
    • Running unit tests
    • Cython modules
  • Experiment configuration file format
    • Intro
    • Config files vs. saved model files
    • Examples
  • Translator Structure
  • Preprocessing
    • Tokenization
  • API Doc
    • Experiment
    • Model
    • Loss
    • Training
    • Parameters
    • Inference
    • Evaluation
    • Data
    • Persistence
    • Reportable
    • Settings
  • Programming Conventions
    • Philosphy
    • Style
    • Documentation
    • Testing
    • Logging
    • Contributing
  • Writing XNMT classes
    • Marking classes as serializable
    • Specifying init arguments
    • Using DyNet parameters
    • Using Serializable subcomponents
  • Save File Format
    • Overview
    • .data sub-directory
    • Command-line utilities
  • Visualization
    • Visualization of training progress
    • Visualization of translation outputs

Indices and tables¶

  • Index
  • Module Index
  • Search Page
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