Results 11 to 20 of about 491,933 (328)
Neural Machine Translation with Monolingual Translation Memory [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 Prior work has proved that Translation Memory (TM) can boost the performance of Neural Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and employs source-side similarity search for memory retrieval, we propose a ...
Deng Cai +4 more
semanticscholar +4 more sources
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems [PDF]
, 2017 In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures.
Ozan Çağlayan +5 more
openalex +4 more sources
Mixed-Level Neural Machine Translation. [PDF]
Comput Intell Neurosci, 2020 Building the first Russian-Vietnamese neural machine translation system, we faced the problem of choosing a translation unit system on which source and target embeddings are based. Available homogeneous translation unit systems with the same translation unit on the source and target sides do not perfectly suit the investigated language pair.
Nguyen T, Nguyen H, Tran P.
europepmc +5 more sources
Marian: Fast Neural Machine Translation in C++ [PDF]
Annual Meeting of the Association for Computational Linguistics, 2018 We present Marian, an efficient and self-contained Neural Machine Translation framework with an integrated automatic differentiation engine based on dynamic computation graphs. Marian is written entirely in C++.
Marcin Junczys-Dowmunt +11 more
openalex +3 more sources
Incorporating bilingual translation templates into neural machine translation [PDF]
Scientific ReportsIn the neural machine translation (NMT) paradigm, transformer-based NMT has achieved great progress in recent years. It uses parallel corpus and is based on the stand end-to-end structure.
Fuxue Li +5 more
doaj +2 more sources
Synchronous Bidirectional Neural Machine Translation [PDF]
Transactions of the Association for Computational Linguistics, 2019 Existing approaches to neural machine translation (NMT) generate the target language sequence token-by-token from left to right. However, this kind of unidirectional decoding framework cannot make full use of the target-side future contexts which can be ...
Zhou, Long +2 more
doaj +4 more sources
Neural machine translation of chemical nomenclature between English and Chinese [PDF]
Journal of Cheminformatics, 2020 Machine translation of chemical nomenclature has considerable application prospect in chemical text data processing between languages. However, rule based machine translation tools have to face significant complication in rule sets building, especially ...
Tingjun Xu +5 more
doaj +2 more sources
Generative Neural Machine Translation [PDF]
, 2018 We introduce Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target sentences. We modify an encoder-decoder translation model by adding a latent variable as a language agnostic representation which is encouraged to learn the meaning of the sentence.
Shah, Harshil, Barber, David
openaire +4 more sources
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
openalex +5 more sources
Alignment-Based Neural Machine Translation [PDF]
Proceedings of the First Conference on Machine Translation: Volume 1,
Research Papers, 2016 Tamer Alkhouli +5 more
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