Analysis of Edit Operations for Post-editing Systems

Abstract Post-editing has become an important part not only of translation research but also in the global industry. While computer-aided tools, such as memories, are considered to be a translator's work, lately, machine (MT) systems have been accepted by human translators. However, many translators still adopting changes brought technologies This paper introduces novel approach for seeking suitable pairs n -grams when recommending (corresponding between MT and post-edited MT) based on type text (manual or administrative) system used translation. A tool that recommends speeds up correction was developed help post-editors with their work. It is analysis words same lemmas -gram recommendations. These recommendations extracted from sequence patterns mismatched (MisMatch) output output. The aims show usage morphological post-edit operations. describes contribution consists methodology words, additionally importance taking into account metadata (the and/or style system)