Results 41 to 50 of about 491,933 (328)
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation [PDF]
Although the problem of hallucinations in neural machine translation (NMT) has received some attention, research on this highly pathological phenomenon lacks solid ground.
Nuno M. Guerreiro+2 more
semanticscholar +1 more source
Interactive neural machine translation [PDF]
Despite the promising results achieved in last years by statistical machine translation, and more precisely, by the neural machine translation systems, this technology is still not error-free. The outputs of a machine translation system must be corrected by a human agent in a post-editing phase.
Peris Abril, Álvaro+2 more
openaire +3 more sources
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation [PDF]
We propose a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages. Our solution requires no changes to the model architecture from a standard NMT system but instead introduces an artificial token ...
Melvin Johnson+11 more
semanticscholar +1 more source
A Scenario-Generic Neural Machine Translation Data Augmentation Method
Amid the rapid advancement of neural machine translation, the challenge of data sparsity has been a major obstacle. To address this issue, this study proposes a general data augmentation technique for various scenarios.
Xiner Liu+5 more
semanticscholar +1 more source
OpenNMT: Open-Source Toolkit for Neural Machine Translation [PDF]
We describe an open-source toolkit for neural machine translation (NMT). The toolkit prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities ...
Guillaume Klein+4 more
semanticscholar +1 more source
Variational Neural Machine Translation [PDF]
Models of neural machine translation are often from a discriminative family of encoderdecoders that learn a conditional distribution of a target sentence given a source sentence. In this paper, we propose a variational model to learn this conditional distribution for neural machine translation: a variational encoderdecoder model that can be trained end-
Hong Duan+4 more
openaire +3 more sources
IoT-Based English Translation Teaching from the Perspective of Artificial Intelligence
In recent years, with the development of artificial intelligence, the Internet of Things (IoT) has become a research hotspot in industry and academia. At the same time, as a derivative tool of artificial intelligence, machine translation based on the IoT
Dandan Liu
doaj +1 more source
Deep Learning-Based English-Chinese Translation Research
Neural machine translation (NMT) has been bringing exciting news in the field of machine translation since its emergence. However, because NMT only employs single neural networks to convert natural languages, it suffers from two drawbacks in terms of ...
Yao Huang, Yi Xin
doaj +1 more source
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation [PDF]
In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixedlength vector representation, and the other decodes the ...
Kyunghyun Cho+6 more
semanticscholar +1 more source
Generalizing Back-Translation in Neural Machine Translation [PDF]
Published by Association for Computational Linguistics (ACL), Stroudsburg ...
Graça, Miguel M.+4 more
openaire +3 more sources