Results 81 to 90 of about 78,002 (309)

Towards using web-crawled data for domain adaptation in statistical machine translation [PDF]

, 2011
This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling.
Papavassiliou, Vassilis, Prokopidis, Prokopis, Toral, Antonio, Way, Andy, Giagkou, Maria, Pecina, Pavel   +5 more
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Phrasal cohesion and statistical machine translation [PDF]

Proceedings of the ACL-02 conference on Empirical methods in natural language processing - EMNLP '02, 2002
There has been much interest in using phrasal movement to improve statistical machine translation. We explore how well phrases cohere across two languages, specifically English and French, and examine the particular conditions under which they do not. We demonstrate that while there are cases where coherence is poor, there are many regularities which ...
openaire   +1 more source

TMX markup: a challenge when adapting SMT to the localisation environment [PDF]

, 2010
Translation memory (TM) plays an important role in localisation workflows and is used as an efficient and fundamental tool to carry out translation. In recent years, statistical machine translation (SMT) techniques have been rapidly developed, and the ...
Andy Way, Way, Andy, Jinhua Du, Johann Roturier, Roturier, Johann, Du, Jinhua   +5 more
core  

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Seeding statistical machine translation with translation memory output through tree-based structural alignment [PDF]

, 2010
With the steadily increasing demand for high-quality translation, the localisation industry is constantly searching for technologies that would increase translator throughput, with the current focus on the use of high-quality Statistical Machine ...
Zhechev, Ventsislav, van Genabith, Josef
core  

Dependency-based automatic evaluation for machine translation [PDF]

, 2007
We present a novel method for evaluating the output of Machine Translation (MT), based on comparing the dependency structures of the translation and reference rather than their surface string forms.
Andy Way, Way, Andy, Josef van Genabith, Owczarzak, Karolina, Karolina Owczarzak, van Genabith, Josef   +5 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Combining data-driven MT systems for improved sign language translation

, 2007
In this paper, we investigate the feasibility of combining two data-driven machine translation (MT) systems for the translation of sign languages (SLs).
Morrissey, Sara, Stein, Daniel, Way, Andy, Bungeroth, Jan, Ney, Hermann   +4 more
core  

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source