Stanford Phrasal
Stanford Phrasal is an advanced statistical phrase-based machine translation system developed in Java, featuring a user-friendly API for integrating new decoding models. It supports gap-inclusive phrase translations and conditional extraction of phrase-tables and lexical reordering models, facilitating innovative advancements in machine translation research. Available on GitHub, it encourages academic citation for usage.
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Top Stanford Phrasal Features
- Easy-to-use API
- Gap-inclusive phrases
- Conditional phrase-table extraction
- Lexical reordering models
- Statistical phrase-based translation
- Java-based implementation
- Integration with JavaNLP tools
- Extensive user guide available
- Open-source on GitHub
- Multi-language support
- Customizable decoding model features
- Mailing list for support
- Research citation guidance
- Active developer community
- Compatibility with Moses core
- Enhanced translation accuracy
- Modular architecture design
- User-friendly interface
- Built for academic research
- Continuous updates and improvements.
