Moses
Moses is a statistical machine translation system that enables users to automatically train models for any language pair using a parallel corpus. Featuring a command line executable for decoding and easily accessible source code on GitHub, it supports efficient translation through advanced search algorithms. Comprehensive documentation guides users in building and tuning translation systems effectively.
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Top Moses Features
- Automatic model training
- Supports any language pair
- Parallel corpus requirement
- Efficient search algorithm
- High probability translation
- Command line executable
- Open-source decoder code
- GitHub source code access
- Step-by-step guide available
- Baseline translation system building
- Comprehensive documentation
- Printable manual option
- European Union project support
- LGPL licensing
- Customizable translation models
- User-friendly decoding process
- Tuning model performance
- Community-driven development
- Regular updates and snapshots
- Extensive language support.
