This article presents a review of the evolution of automatic post-editing, a term that describes
methods to improve the output of machine translation systems, based on knowledge …

Translation memory tools now offer the translator to insert post-edited machine translation
segments for which no match is found in the databases. The Google Translator Toolkit does …

This survey on hybrid machine translation (MT) is motivated by the fact that hybridization
techniques have become popular as they attempt to combine the best characteristics of …

With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …

Abstract The adoption of Machine Translation technology for commercial applications is
hampered by the lack of trust associated with machine-translated output. In this paper, we …

Abstract Machine translation is one of the applications of natural language processing which
has been explored in different languages. Recently researchers started paying attention …

Downstream processing of machine translation (MT) output promises to be a solution to
improve translation quality, especially when the MT system's internal decoding process is …

We present a neural network based automatic post-editing (APE) system to improve raw
machine translation (MT) output. Our neural model of APE (NNAPE) is based on a …

The aim of this paper is to identify postediting guidelines that need to be highlighted in the
context of translation training. The analysis of a corpus of texts post-edited by 10 translation …

Previous phrase-based approaches to Automatic Post-editing (APE) have shown that the
dependency of MT errors from the source sentence can be exploited by jointly learning from …