The neural machine translation models for the low-resource Kazakh–English language pair [PDF]
PeerJ Computer Science, 2023 The development of the machine translation field was driven by people’s need to communicate with each other globally by automatically translating words, sentences, and texts from one language into another.
Vladislav Karyukin +4 more
doaj +3 more sources
Memory-augmented Neural Machine Translation [PDF]
, 2017 Neural machine translation (NMT) has achieved notable success in recent times, however it is also widely recognized that this approach has limitations with handling infrequent words and word pairs. This paper presents a novel memory-augmented NMT (M-NMT)
Abel, Andrew +4 more
core +4 more sources
Incorporating bilingual translation templates into neural machine translation [PDF]
Scientific ReportsIn the neural machine translation (NMT) paradigm, transformer-based NMT has achieved great progress in recent years. It uses parallel corpus and is based on the stand end-to-end structure.
Fuxue Li +5 more
doaj +2 more sources
Neural machine translation of chemical nomenclature between English and Chinese [PDF]
Journal of Cheminformatics, 2020 Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu +5 more
doaj +2 more sources
Survey of Mongolian-Chinese Neural Machine Translation [PDF]
Jisuanji kexue, 2022 Machine translation is the process of using a computer to convert one language into another language.With the deep understanding of semantics,neural machine translation has become the most mainstream machine translation method at present,and it has made ...
HOU Hong-xu, SUN Shuo, WU Nier
doaj +1 more source
Machine Translation Systems for English Captions to Hindi Language Using Deep Learning [PDF]
ITM Web of Conferences, 2022 Machine Translation is the process of translating text from one language to another which helps to reduce the conversation gap among people from different cultural backgrounds.
Singh Arvinder +3 more
doaj +1 more source
ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network. [PDF]
Molecules, 2017 Cao R +5 more
europepmc +3 more sources
Advance Research on Neural Machine Translation Integrating Linguistic Knowledge
Jisuanji kexue yu tansuo, 2021 Although neural machine translation has become the mainstream method and paradigm in the current research and application of machine translation, there are also some problems such as the fluent but not faithful of the translation results, difficult ...
GUO Wanghao, FAN Jiangwei, ZHANG Keliang
doaj +1 more source
A Survey on Hybrid Machine Translation [PDF]
E3S Web of Conferences, 2020 Machine translation has gradually developed in past 1940’s.It has gained more and more attention because of effective and efficient nature. As it makes the translation automatically without the involvement of human efforts. The distinct models of machine
Anugu Anusha, Ramesh Gajula
doaj +1 more source
Evaluation of English–Slovak Neural and Statistical Machine Translation
Applied Sciences, 2021 This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural machine translation (NMT) systems using automatic metrics for translation quality evaluation for the language pair of English and Slovak.
Lucia Benkova +3 more
doaj +1 more source