Hybrid machine translation guided by a rule-based system
This paper presents a machine translation architecture which hybridizes Matxin, a rulebased system, with regular phrase-based Statistical Machine Translation. In short, the hybrid translation process is guided by the rulebased engine and, before transference, a set of partial candidate translations provided by SMT subsystems is used to enrich the ...
España Bonet, Cristina+4 more
openaire +1 more source
Automated implementation of rule-based expert systems with neural networks for time-critical applications [PDF]
In fault diagnosis, control and real-time monitoring, both timing and accuracy are critical for operators or machines to reach proper solutions or appropriate actions.
Govind, Girish+2 more
core +1 more source
Greek Idioms Processing in the Machine Translation System CAT2 [PDF]
This paper describes Machine Translation (MT) and the associated processing of idioms. Particularly, this research examines the rule-based CAT 2 MT system and experiments with Greek sentences containing idioms.
Anastasiou, Dimitra
core
Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider+4 more
wiley +1 more source
Maximum entropy based rule selection model for syntax-based statistical machine translation [PDF]
Qun Liu+3 more
openalex +1 more source
A Different Perspective on the Solid Lubrication Performance of Black Phosphorous: Friend or Foe?
Researchers investigate black phosphorous (BP) as a standalone solid lubricant coating through ball‐on‐disc linear‐reciprocating sliding experiments in dry conditions. Testing on different metals shows BP doesn't universally reduce friction and wear. However, it achieves 33% friction reduction on rougher iron surfaces and 23% wear reduction on aluminum.
Matteo Vezzelli+5 more
wiley +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Fast translation rule matching for syntax-based statistical machine translation [PDF]
Hui Zhang+3 more
openalex +1 more source
Combined Machine Learning Techniques for Decision Making Support in Medicine [PDF]
Computational intelligent support for decision making is becoming increasingly popular and essential among medical professionals. Also, with the modern medical devices being capable to communicate with ICT, created models can easily find practical ...
Stoean, Ruxandra
core
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source