Machine translation with grammar association
Federico Prat · 2001
Grammar Association is a technique for Machine Translation and Language Understanding introduced in 1993 by Vidal, Pieraccini and Levin. All the statistical and structural models involved in the translation process are automatically built from bilingual examples, and the optimal translation of new sentences can be efficiently found by Dynamic Programming algorithms. This paper presents and discusses Grammar Association state of the art, including a new statistical model: Loco_C.