Automatic Rating of Machine Translatability
Kiyotaka Uchimoto, Naoko Hayashida, Toru Ishida, Hitoshi Isahara · 2005
We describe a method for automatically rating the machine translatability of a sentence for var-ious machine translation (MT) systems. The method requires that the MT system can bidi-rectionally translate sentences in both source and target languages. However, it does not re-quire reference translations, as is usual for auto-matic MT evaluation. By applying this method to every component of a sentence in a given source language, we can automatically iden-tify the machine-translatable and non-machine-translatable parts of a sentence for a particular MT system. We show that the parts of a sen-tence that are automatically identified as non-machine-translatable provide useful information for paraphrasing or revising the sentence in the source language, thus improving the quality of the final translation. 1