Results 51 to 60 of about 238,882 (174)
Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]
PeerJ Computer ScienceMachine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar +7 more
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Neural machine translation using bitmap fonts [PDF]
, 2016 Recently, translation systems based on neural networks are starting to compete with systems based on phrases. The systems which are based on neural networks use vectorial repre- sentations of words.
Aldón Mínguez, David +2 more
core
Domain Control for Neural Machine Translation
, 2017 Machine translation systems are very sensitive to the domains they were trained on. Several domain adaptation techniques have been deeply studied. We propose a new technique for neural machine translation (NMT) that we call domain control which is ...
Crego, Josep +2 more
core +1 more source
Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation
Complexity, 2020 Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research.
Rui Wang
doaj +1 more source
Machine translation of English speech: Comparison of multiple algorithms
Journal of Intelligent Systems, 2022 In order to improve the efficiency of the English translation, machine translation is gradually and widely used. This study briefly introduces the neural network algorithm for speech recognition.
Wu Yijun, Qin Yonghong
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Applied Sciences, 2023 Neural machine translation has achieved good translation results, but needs further improvement in low-resource and domain-specific translation. To this end, the paper proposed to incorporate source language syntactic information into neural machine ...
Yanna Sang, Yuan Chen, Juwei Zhang
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Multi-Source Neural Translation
, 2016 We build a multi-source machine translation model and train it to maximize the probability of a target English string given French and German sources. Using the neural encoder-decoder framework, we explore several combination methods and report up to +4 ...
Knight, Kevin, Zoph, Barret
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Neural System Combination for Machine Translation
, 2017 Neural machine translation (NMT) becomes a new approach to machine translation and generates much more fluent results compared to statistical machine translation (SMT). However, SMT is usually better than NMT in translation adequacy.
Hu, Wenpeng +3 more
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Residual Information Flow for Neural Machine Translation
IEEE Access, 2022 Automatic machine translation plays an important role in reducing language barriers between people speaking different languages. Deep neural networks (DNN) have attained major success in diverse research fields such as computer vision, information ...
Shereen A. Mohamed +2 more
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Neural Machine Translation with Word Predictions
, 2017 In the encoder-decoder architecture for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information about the sentence.These vectors are generated by parameters which are ...
Chen, Jiajun +4 more
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