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 highly …

… We describe a substitution-based system for hybrid machine translation (MT) that has been
extended with machine learning components controlling its phrase selection. The approach …

… approach and helps to optimize translation output. The research manuscript we present
hybrid machine Translator for English to Marathi language which translated Web pages, text …

We combine two of the most popular approaches to automated Grammatical Error Correction
(GEC): GEC based on Statistical Machine Translation (SMT) and GEC based on Neural …

… The motivation for developing hybrid machine translation systems stems from the … hybrid
machine translation systems have been successful in improving the accuracy of the translations…

… due to the contribution of the translation model. In this paper, we propose a cascaded hybrid
framework to combine NMT and PB-SMT to improve translation quality. Specifically, we first …

… presents two hybrid architectures combining rulebased and statistical machine translation
(… enhanced RBMT system in the framework of their European Machine Translation Project. …

… a hybrid machine-translation system that combines neural machine translation with well-…
The RBMT system adopted in this study is a machine translation system based on rich …

… Machine translation (MT) has been the milestone of … translation between pairs of languages,
which is the genesis of natural language processing (NLP). Hybrid machine translation (HMT…

… for machine translation system is proposed. A partial parsing method is adopted, and the
translation … We call such a simplified machine translation model a pipelined machine translation …