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]

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2022
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]

open access: yesComputer Speech & Language, 2017
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]

open access: yesTransactions of the Association for Computational Linguistics, 2016
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

open access: yesElectronics, 2023
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]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2017
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]

open access: yesProceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
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

open access: yesInternational Journal of Antennas and Propagation, 2022
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

open access: yesAdvances in Meteorology, 2022
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]

open access: yesConference on Empirical Methods in Natural Language Processing, 2014
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]

open access: yesProceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers), 2019
Published by Association for Computational Linguistics (ACL), Stroudsburg ...
Graça, Miguel M.   +4 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy