Results 211 to 220 of about 2,609,056 (293)
Joint speech and text machine translation for up to 100 languages. [PDF]
SEAMLESS Communication Team.
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Discourse for Machine Translation.
Statistical Machine Translation is a modern success: Given a source language sentence, SMT finds the most probable target language sentence, based on (1) properties of the source; (2) probabilistic source--target mappings at the level of words, phrases and/or sub-structures; and (3) properties of the target language. SMT translates individual sentences
openaire +2 more sources
Resonant standing waves generate large‐area lattices of liquid‐crystal topological defects that are permanently encoded into polymer coatings by photopolymerization. The preserved director architecture produces thermally reconfigurable surface topographies while maintaining programmable optical functionality, demonstrating a scalable strategy for ...
Jacques A. Peixoto +6 more
wiley +1 more source
Overview and challenges of machine translation for contextually appropriate translations. [PDF]
Naveen P, Trojovský P.
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Sustainable Na‐(Fe,Zn)Cl2 battery modules deliver discharge energies comparable to state‐of‐the‐art Na‐(Ni,Fe)Cl2 batteries through high active‐material utilization, although with lower power capability. Advanced electrochemical characterization reveals a distinct reaction mechanism and low resistance during Fe dechlorination.
Enea Svaluto‐Ferro +10 more
wiley +1 more source
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A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow +6 more
wiley +1 more source
Retraction: The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. [PDF]
PLOS One Editors.
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Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models. [PDF]
Acı M, Vuran Sarı N, İnan Acı Ç.
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