Results 141 to 150 of about 2,609,056 (293)
Machine translation and migration
This chapter discusses uses of machine translation as a communication tool in migration contexts. The focus of the chapter is on the interface between MT tools and non-linguist end users. The discussion is divided into three main sections. The first looks at examples of machine translation development that are particularly relevant for migration.
openaire +2 more sources
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
Adaptation in Machine Translation
Statistical machine translation (SMT) has emerged as the currently most promising approach for machine translation. One limitation to date, however, is that the quality of SMT systems strongly depends on the similarity between the training data and its deployment.
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Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
When Multiwords Go Bad in Machine Translation
This paper addresses the impact of multiword translation errors in machine translation (MT). We have analysed translations of multiwords in the OpenLogos rule-based system (RBMT) and in the Google Translate statistical system (SMT) for the English-French,
Batista, Fernando +3 more
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What Do Large Language Models Know About Materials?
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 +2 more
wiley +1 more source
Gated transformer with shallow decoder for machine translation. [PDF]
Li F, Yin F, Deng S, Cui Y, Sun H.
europepmc +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
MaTIAS : Machine Translation to Inform Asylum Seekers
This project aims to develop a multilingual notification system for asylum reception centres in Belgium using machine translation. The system will allow staff to communicate practical messages to residents in their own language. Ethnographically inspired
De Wilde, JulyLW220020057142648020004445190000-0002-4936-955XFB09CE92-F0ED-11E1-A9DE-61C894A0A6B4 +15 more
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