Results 11 to 20 of about 80,002 (216)
MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation
Journal 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 +1 more source
Toward Building a Comprehensive Phrase-based English-Arabic Statistical Machine Translation System [PDF]
The Egyptian Journal of Language Engineering, 2017 This paper explores a phrase-based statistical machine translation (PBSMT) pipeline for English-Arabic (En-Ar)language pair. The work surveys the most recent experiments conducted to enhance Arabic machine translation in the En-Ar direction.
Sara Ebrahim +3 more
doaj +1 more source
Neural Machine Translation Based on Adaptive Training and Drop Mechanism [PDF]
Jisuanji gongcheng, 2023 In the field of machine translation, enhancing the translation accuracy of phrases is a key strategy for improving overall translation quality. Although statistical machine translation models have substantially improved phrase translation accuracy by ...
Renchong DUAN, Xiangyu DUAN
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Studia Rossica Posnaniensia, 2019 Machine translation (MT) is a relatively new field of science. MT systems are evolving in certain directions. The article discusses the possibilities and the future of systems currently offered to public by the biggest technological companies focusing on
Jakub Olas
doaj +1 more source
A review of existing Machine Translation Approaches, their Challenges and Evaluation Metrics
Pakistan Journal of Engineering Technology & Science, 2023 Machine translation is the process of translating a natural language into another. The primary goal of machine translation is to bridge the linguistic gap between languages.
Naseer Ahmed
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Integrating Pronunciation into Chinese-Vietnamese Statistical Machine Translation
Tsinghua Science and Technology, 2018 Statistical machine translation for low-resource language suffers from the lack of abundant training corpora. Several methods, such as the use of a pivot language, have been proposed as a bridge to translate from one language to another.
Anh Tran Huu +4 more
doaj +1 more source
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
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Machine Translation in Indian Languages: Challenges and Resolution
Journal of Intelligent Systems, 2019 English to Indian language machine translation poses the challenge of structural and morphological divergence. This paper describes English to Indian language statistical machine translation using preordering and suffix separation.
Patel Raj Nath +2 more
doaj +1 more source