Analogical translation of unknown words in a statistical machine translation framework

@inproceedings{Denoual2007AnalogicalTO,
  title={Analogical translation of unknown words in a statistical machine translation framework},
  author={Etienne Denoual},
  year={2007}
}
In this paper we address the problem of translating unknown words in a statistical machine translation framework. In data-driven machine translation, words that are not seen in the data may not be translated and are either discarded or left as is in the output. They are refered to as unknown words. The unknown word problem increases when the available bilingual data is scarce. In order to address this problem, we propose to use proportional analogy at the character-level to translate unknown… CONTINUE READING
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