A Constraint Satisfaction Approach to Machine Translation

  title={A Constraint Satisfaction Approach to Machine Translation},
  author={Sander Canisius and Antal van den Bosch},
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

Similar Papers

Loading similar papers…