Results 121 to 130 of about 418,591 (309)

Confidence through Attention [PDF]

open access: yesMachine Translation Summit XVI, Nagoya, Japan, September 2017, 2017
Attention distributions of the generated translations are a useful bi-product of attention-based recurrent neural network translation models and can be treated as soft alignments between the input and output tokens. In this work, we use attention distributions as a confidence metric for output translations.
arxiv  

Translation and Machine Translation

open access: yesJournal of Natural Language Processing, 2020
Masaru Yamada   +2 more
openaire   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational 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

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source

A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations [PDF]

open access: yes
Machine translation in low-resource language pairs faces significant challenges due to the scarcity of parallel corpora and linguistic resources. This study focuses on the case of English-Marathi language pairs, where existing datasets are notably noisy, impeding the performance of machine translation models.
arxiv   +1 more source

Artificial Receptor in Synthetic Cells Performs Transmembrane Activation of Proteolysis

open access: yesAdvanced Biology, EarlyView.
Transmembrane signaling is the hallmark of living cells and is among the highest challenges for the design of synthetic cells. Herein, an artificial receptor based on the chemistry of self‐immolative linkers is used to communicate information across the lipid bilayer, for transmembrane activation of enzymatic activity. Abstract The design of artificial,
Ane Bretschneider Søgaard   +7 more
wiley   +1 more source

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