Results 11 to 20 of about 3,692,894 (287)

The neural machine translation models for the low-resource Kazakh–English language pair [PDF]

open access: yesPeerJ 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

Neural Machine Translation

open access: yesRevista Tradumàtica, 2017
From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla   +1 more
doaj   +3 more sources

Evaluation of English–Slovak Neural and Statistical Machine Translation

open access: yesApplied 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   +3 more sources

Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation

open access: yesMathematics, 2023
This paper proposes a hybrid machine translation (HMT) system that improves the quality of neural machine translation (NMT) by incorporating statistical machine translation (SMT).
Jani Dugonik   +3 more
doaj   +3 more sources

Incorporating bilingual translation templates into neural machine translation [PDF]

open access: yesScientific Reports
In 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

MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation

open access: yesJournal of Intelligent Systems, 2019
Machine translation (MT) is the automatic translation of the source language to its target language by a computer system. In the current paper, we propose an approach of using recurrent neural networks (RNNs) over traditional statistical MT (SMT).
Mahata Sainik Kumar   +2 more
doaj   +2 more sources

Neural Machine Translation of Basque [PDF]

open access: yes, 2018
This work was supported by the Department of Economic Development and Competitiveness of the Basque Government via the MODELA project.
Thierry Etchegoyhen   +9 more
core   +5 more sources

Translating Akkadian to English with neural machine translation. [PDF]

open access: yesPNAS Nexus, 2023
Abstract Cuneiform is one of the earliest writing systems in recorded human history (ca. 3,400 BCE–75 CE). Hundreds of thousands of such texts were found over the last two centuries, most of which are written in Sumerian and Akkadian.
Gutherz G   +4 more
europepmc   +3 more sources

Survey of Mongolian-Chinese Neural Machine Translation [PDF]

open access: yesJisuanji 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

Neural Pre-Translation for Hybrid Machine Translation. [PDF]

open access: yes, 2017
Hybrid machine translation (HMT) takes advantage of different types of machine translation (MT) systems to improve translation performance. Neural machine translation (NMT) can produce more fluent translations while phrase-based statistical machine ...
Du, Jinhua, Way, Andy
core   +6 more sources

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