Although deep neural networks have recently led to great achievements in machine
translation (MT), various challenges are still encountered during the development of Korean …

With the advent of robust deep learning, neural machine translation (NMT) has achieved
great progress and recently become the dominant paradigm in machine translation (MT) …

Since deep learning was introduced, a series of achievements has been published in the
field of automatic machine translation (MT). However, Korean-Vietnamese MT systems face …

Machine translation (MT) has recently attracted much research on various advanced
techniques (ie, statistical-based and deep learning-based) and achieved great results for …

Although neural machine translation (NMT) has recently achieved the state-of-the-art
performance, it is confronted with the challenge of word-sense disambiguation (WSD). This …

With the advent of robust deep learning, neural machine translation (NMT) has achieved
great progress and recently become the dominant paradigm in machine translation (MT) …

At present, most of the examinations in schools and in the society use traditional
examination methods, and the examination efficiency is low. In the context of the rapid …

With the advent of robust deep learning method, Neural machine translation has recently
become a dominant paradigm and achieved adequate results in translation between …