In the modern world, there is an increased need for language translations owing to the fact
that language is an effective medium of communication. The demand for translation has …

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 …

Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT
development has recently moved from laboratory to production systems as demonstrated by …

We propose to use a statistical phrasebased machine translation system in a post-editing
task: the system takes as input raw machine translation output (from a commercial rule …

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 …

In this study, we present an analysis regarding the performance of the state-of-art Phrase-
based Statistical Machine Translation (SMT) on multiple Indian languages. We report …

This paper evaluates the translation quality of machine translation systems for 8 language
pairs: translating French, German, Spanish, and Czech to English and back. We carried out …

Pre-processing and post-processing are significant aspects of natural language processing
(NLP) application software. Pre-processing in neural machine translation (NMT) includes …

We present two methods that merge ideas from statistical machine translation (SMT) and
translation memories (TM). We use a TM to retrieve matches for source segments, and …

Recently, the development of neural machine translation (NMT) has significantly improved
the translation quality of automatic machine translation. While most sentences are more …