Results 81 to 90 of about 221,770 (298)
The neural machine translation of dislocations
Proceedings of International Conference of Experimental Linguistics, 2022 This paper investigates neural machine translation (NMT) outputs for dislocated constructions from French into English. Dislocations are often considered to be “substandard in formal registers” (Lambrecht 1994: 12). In French, multiple copies of the subject are licit in spoken data, whereas translations into English preclude them (De Cat 2007).
Namdarzadeh, Behnoosh, Ballier, Nicolas
openaire +2 more sources
Handling Homographs in Neural Machine Translation
, 2018 Homographs, words with different meanings but the same surface form, have long caused difficulty for machine translation systems, as it is difficult to select the correct translation based on the context.
Liu, Frederick, Lu, Han, Neubig, Graham
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Neural Name Translation Improves Neural Machine Translation [PDF]
, 2019 In order to control computational complexity, neural machine translation (NMT) systems convert all rare words outside the vocabulary into a single unk symbol. Previous solution (Luong et al. [1]) resorts to use multiple numbered unks to learn the correspondence between source and target rare words.
Xiaoqing Li +4 more
openaire +2 more sources
Advanced Biology, EarlyView.The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez +8 more
wiley +1 more source
An intelligent algorithm for fast machine translation of long English sentences
Journal of Intelligent Systems, 2023 Translation of long sentences in English is a complex problem in machine translation. This work briefly introduced the basic framework of intelligent machine translation algorithm and improved the long short-term memory (LSTM)-based intelligent machine ...
He Hengheng
doaj +1 more source
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
, 2017 Machine translation is a natural candidate problem for reinforcement learning from human feedback: users provide quick, dirty ratings on candidate translations to guide a system to improve.
Boyd-Graber, Jordan +2 more
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Advanced Biology, EarlyView.Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed +3 more
wiley +1 more source
Joint Training for Neural Machine Translation Models with Monolingual Data
, 2018 Monolingual data have been demonstrated to be helpful in improving translation quality of both statistical machine translation (SMT) systems and neural machine translation (NMT) systems, especially in resource-poor or domain adaptation tasks where ...
Chen, Enhong +4 more
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Intersection Between Local Anesthetics and Cancer Biology: What Now? Where Are We Going?
Advanced Biology, EarlyView.Local anesthetics (LAs), widely used in anesthesia, may also play a role in cancer treatment by inhibiting tumor growth, reducing metastasis, and enhancing immune responses. They modulate key pathways like AKT/mTOR and RAS/ERK while affecting angiogenesis and tumor innervation and the immune response.
Eduardo Nunez‐Rodriguez +3 more
wiley +1 more source