A Constraint Satisfaction Approach to Machine Translation

@inproceedings{Canisius2009ACS,
  title={A Constraint Satisfaction Approach to Machine Translation},
  author={Sander Canisius and Antal van den Bosch},
  year={2009}
}
Constraint satisfaction inference is presented as a generic, theory-neutral inference engine for machine translation. The approach enables the integration of many different solutions to aspects of the output space, including classification-based translation models that take source-side context into account, as well as stochastic components such as target language models. The approach is contrasted with a word-based SMT system using the same decoding algorithm, but optimising a different… CONTINUE READING

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