Results 101 to 110 of about 521,807 (336)
A Client mobile application for Chinese-Spanish statistical machine translation [PDF]
, 2014 This show and tell paper describes a client mobile application for Chinese-Spanish machine translation. The system combines a standard server-based statistical machine translation (SMT) system, which requires online operation, with different input ...
Banchs Martínez, Rafael Enrique +2 more
core
Role of Morphology Injection in Statistical Machine Translation
, 2017 Phrase-based Statistical models are more commonly used as they perform optimally in terms of both, translation quality and complexity of the system. Hindi and in general all Indian languages are morphologically richer than English.
Bhattacharyya, Pushpak, S, Sreelekha
core +1 more source
Long‐term stability analysis of beam shape in a robotic radiosurgery system
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose This study aimed to investigate the long‐term stability of CyberKnife beam profile parameters and assess their compliance with existing quality assurance (QA) guidelines. We evaluated beam profiles in both standard and diagonal planes over 3.5 years post‐installation to detect potential issues and ensure consistent beam quality.
Ryoichi Hinoto +4 more
wiley +1 more source
Revista Tradumàtica, 2017 From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla +1 more
doaj +1 more source
MATREX: the DCU MT system for WMT 2009 [PDF]
, 2009 In this paper, we describe the machine translation system in the evaluation campaign of the Fourth Workshop on Statistical Machine Translation at EACL 2009.
Du, Jinhua +3 more
core +2 more sources
Precision‐Optimised Post‐Stroke Prognoses
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope +4 more
wiley +1 more source
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
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.
Giagkou, Maria +5 more
core
EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke +12 more
wiley +1 more source
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