S Hunsicker, Y Chen, C Federmann - … machine translation, 2012 - aclanthology.org
… We describe a substitution-based system for hybridmachinetranslation (MT) that has been extended with machine learning components controlling its phrase selection. The approach …
P Salunkhe, AD Kadam, S Joshi, S Patil… - 2016 International …, 2016 - ieeexplore.ieee.org
… approach and helps to optimize translation output. The research manuscript we present hybridmachineTranslator 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 MachineTranslation (SMT) and GEC based on Neural …
MD Okpor - International Journal of Computer Science Issues …, 2014 - academia.edu
… The motivation for developing hybridmachinetranslation systems stems from the … hybrid machinetranslation 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 machinetranslation (… enhanced RBMT system in the framework of their European MachineTranslation Project. …
… a hybridmachine-translation system that combines neural machinetranslation with well-… The RBMT system adopted in this study is a machinetranslation system based on rich …
… Machinetranslation (MT) has been the milestone of … translation between pairs of languages, which is the genesis of natural language processing (NLP). Hybridmachinetranslation (HMT…
KH Chen, HH Chen - … & Chinese Language Processing, Volume 1 …, 1996 - aclanthology.org
… for machinetranslation system is proposed. A partial parsing method is adopted, and the translation … We call such a simplified machinetranslation model a pipelined machinetranslation …