Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.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
Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation
IEEE Access, 2019 A conventional decoding algorithm is critical to the success of any statistical machine translation system. Providing an enormous amount of space leads to inappropriate slow decoding. There is a trade-off between the translation accuracy and the decoding
Debajyoty Banik +2 more
doaj +1 more source
3D‐Printed Architected Material for the Generation of Foam‐Based Protective Equipment
Advanced Engineering Materials, EarlyView.This study investigates 3D‐printed architected structures as alternatives to traditional foams in protective gear. It focuses on customizing impact strength and damping through design and manufacturing integration. Testing shows these structures outperform conventional foams, offering enhanced customizability, lower weight, and tunable performance ...
Ali Zolfagharian +5 more
wiley +1 more source
Neural Network Machine Translation Method Based on Unsupervised Domain Adaptation
Complexity, 2020 Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research.
Rui Wang
doaj +1 more source
Statistically motivated example-based machine translation using translation memory [PDF]
, 2010 In this paper we present a novel way of integrating Translation Memory into an Example-based Machine translation System (EBMT) to deal with the issue of low resources. We have used a dialogue of 380 sentences as the example-base for our system.
Dandapat, Sandipan +3 more
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Promoting Flexible Translations in Statistical Machine Translation
, 2013 While SMT systems can learn to translate multiword expressions (MWEs) from parallel text, they typically have no notion of non-compositionality, and thus overgeneralise translations that are only used in certain contexts. This paper describes a novel approach to measure the flexibility of a phrase pair, i.e.
openaire +3 more sources
The Geometry of Statistical Machine Translation
, 2019 Most modern statistical machine translation systems are based on linear statistical models. One extremely effective method for estimating the model parameters is minimum error rate training (MERT), which is an efficient form of line optimisation adapted to the highly non- linear objective functions used in machine translation.
Byrne, WJ, Waite, Aurelien
openaire +2 more sources
Graphene–Catechol Dental Sealant: Antibacterial and Mechanical Evaluation
Advanced Engineering Materials, EarlyView.This study presents dental sealants made with graphene and L‐DOPA‐modified graphene. L‐DOPA enhances graphene dispersion, improving sealant properties. The material shows antibacterial activity against S. mutans and L. casei, along with high strength and elasticity.
Renata Pereira +6 more
wiley +1 more source
INTEGRATING MACHINE TRANSLATION AND SPEECH SYNTHESIS COMPONENT FOR ENGLISH TO DRAVIDIAN LANGUAGE SPEECH TO SPEECH TRANSLATION SYSTEM [PDF]
Journal of Engineering Science and Technology, 2015 This paper provides an interface between the machine translation and speech synthesis system for converting English speech to Tamil text in English to Tamil speech to speech translation system.
J. SANGEETHA, S. JOTHILAKSHMI
doaj
Combining data-driven MT systems for improved sign language translation [PDF]
, 2007 In this paper, we investigate the feasibility of combining two data-driven machine translation (MT) systems for the translation of sign languages (SLs).
Bungeroth, Jan +4 more
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