Moses
statistical
machine translation
system
1. Moses
Overview
Manual
Online Demos
FAQ
Mailing Lists
Get Involved
Recent Changes
2. Getting Started
Source Installation
Baseline System
Packages
Releases
Sample Data
Links to Corpora
3. Tutorials
Phrase-Based Tutorial
Syntax Tutorial
Factored Tutorial
Optimizing Moses
Experiment.Perl
4. Training
Overview
Prepare training data
Factored Training
1
Prepare data
2
Run GIZA
3
Align words
4
Lexical translation
5
Extract phrases
6
Score phrases
7
Reordering model
8
Generation model
9
Configuration file
Language Models
Tuning
Training Reference
Decoder Reference
5.
User Documentation
Advanced Models
Efficient Phrase and Rule Storage
Search (Decoding)
Unknown Words
Hybrid Translation
Moses as a Service
Incremental Training
Domain Adaptation
Constrained Decoding
Cache-based Models
Sparse features
Support Tools
External Tools
Web Translation
Moses2
Pipeline Creation Language
Obsolete Features
6. Development
Video
Code Guide
Code Style
Factors
Feature Functions
Sparse Feature Functions
Code Documentation
Regression testing
7. Background
Statistical MT
SMT Glossary
Factored models
Confusion Networks
Word Lattices
Publications
Search
Moses
»
Video
Videos
Tutorials
Principles of Machine Translation
Training Data - Data Conversion and Corpus Preparation
Data Cleaning and Tokenization
Introduction to Moses
Training a Moses MT system
Bulk Translation and MT System Optimization
Automatic Metrics for Evaluating MT Systems
Human Metrics for Evaluating MT Systems
Document Translation and Integration Scenarios
Document Translation and Web API Demo
How To
Compiling the Moses SMT toolkit with Eclipse
Adding a Feature Function to Moses
For testimonials of users of Moses, visit the
MosesCore multimedia page
.
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Page last modified on June 01, 2015, at 06:10 AM