Results 41 to 50 of about 3,692,894 (287)
Tensor2Tensor for Neural Machine Translation
CoRR, 2018 Tensor2Tensor is a library for deep learning models that is well-suited for neural machine translation and includes the reference implementation of the state-of-the-art Transformer model.
Ashish Vaswani +12 more
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Deep architectures for Neural Machine Translation [PDF]
Proceedings of the Second Conference on Machine Translation, 2017 WMT 2017 research ...
Antonio Valerio Miceli Barone +4 more
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Prompting Neural Machine Translation with Translation Memories
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Improving machine translation (MT) systems with translation memories (TMs) is of great interest to practitioners in the MT community. However, previous approaches require either a significant update of the model architecture and/or additional training efforts to make the models well-behaved when TMs are taken as additional input.
Abudurexiti Reheman +5 more
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Machine translation evaluation with neural networks [PDF]
Computer Speech & Language, 2017 We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is embedded into compact ...
Francisco Guzmán +3 more
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Experiments on domain adaptation for patent machine translation in the PLuTO project [PDF]
, 2011 The PLUTO1 project (Patent Language Translations Online) aims to provide a rapid solution for the online retrieval and translation of patent documents through the integration of a number of existing state-of-the-art components provided by the project ...
Tinsley, John +3 more
core +2 more sources
Lexical Diversity in Statistical and Neural Machine Translation
Information, 2022 Neural machine translation systems have revolutionized translation processes in terms of quantity and speed in recent years, and they have even been claimed to achieve human parity.
Mojca Brglez, Špela Vintar
doaj +1 more source
Neural Machine Translation with Reconstruction
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems often lack of adequacy. It has been widely observed that NMT tends to repeatedly translate some source words while mistakenly ignoring other words.
Zhaopeng Tu +4 more
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Generalizing Back-Translation in Neural Machine Translation [PDF]
Proceedings 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
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Statistical analysis of alignment characteristics for phrase-based machine translation [PDF]
, 2010 In most statistical machine translation (SMT) systems, bilingual segments are extracted via word alignment. However, there lacks systematic study as to what alignment characteristics can benefit MT under specific experimental settings such as the ...
Petitrenaud, Simon +3 more
core +2 more sources
Unsupervised Neural Machine Translation
CoRR, 2017 In spite of the recent success of neural machine translation (NMT) in standard benchmarks, the lack of large parallel corpora poses a major practical problem for many language pairs. There have been several proposals to alleviate this issue with, for instance, triangulation and semi-supervised learning techniques, but they still require a strong cross ...
Mikel Artetxe +3 more
openaire +4 more sources