A Survey of Syntax-based Statistical Machine Translation
2008
This paper presents an overview of recent syntaxbased statistical machine translation(SMT).According to the differences of grammars which translation models are based on,we classify the syntax-based SMT into two categories: formally syntax-based SMT and linguistically syntax-based SMT.For each category,we discuss the representative work,including model design,training and decoding.We also make a comparison of different models.Finally,we point out the problems on designing syntax models and give a prediction of future development of syntax-based SMT.
Keywords:
- Abstract syntax tree
- Syntax error
- Homoiconicity
- Syntax (programming languages)
- Synchronous context-free grammar
- Natural language processing
- Transfer-based machine translation
- Artificial intelligence
- Rule-based machine translation
- Abstract syntax
- Computer science
- Example-based machine translation
- Programming language
- Correction
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