Results 11 to 20 of about 47,700 (259)
The neural machine translation models for the low-resource Kazakh–English language pair [PDF]
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
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
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
Sublemma-Based Neural Machine Translation [PDF]
Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. The approach is able to extract efficient representations from the input data, if the data are large enough. Unfortunately, it is not always possible
Thien Nguyen, Huu Nguyen, Phuoc Tran
doaj +2 more sources
Reduction of Neural Machine Translation Failures by Incorporating Statistical Machine Translation
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]
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
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
Survey of Mongolian-Chinese Neural Machine Translation [PDF]
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
Translating Akkadian to English with neural machine translation. [PDF]
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
Machine Translation Systems for English Captions to Hindi Language Using Deep Learning [PDF]
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

