Latest trends in hybrid machine translation and its applications

This survey on hybrid machine translation (MT) is motivated by the fact that hybridization techniques have become popular as hey attempt to combine the best characteristics of highly advanced pure rule or corpus-based MT approaches. Existing research ypically covers either simple or more complex architectures guided by either rule or corpus-based approaches. The goal is to ombine the best properties of each type. This survey provides a detailed overview of the modification of the standard rule-based architecture to include statistical knowldge, the introduction of rules in corpus-based approaches, and the hybridization of approaches within this last single category. The rincipal aim here is to cover the leading research and progress in this field of MT and in several related applications. 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/3.0/).