Transfer-based machine translation

Bernard Vauquois' pyramid showing comparative depths of intermediary representation with interlingual machine translation at the peak, followed by transfer-based, then direct translation.

Transfer-based machine translation is a type of machine translation (MT). It is currently one of the most widely used methods of machine translation. In contrast to the simpler direct model of MT, transfer MT breaks translation into three steps: analysis of the source language text to determine its grammatical structure, transfer of the resulting structure to a structure suitable for generating text in the target language, and finally generation of this text. Transfer-based MT systems are thus capable of using knowledge of the source and target languages.[1]

  1. ^ Jurafsky, Daniel; Martin, James H. (2009). Speech and Language Processing. Pearson. pp. 906–908.