Results 81 to 90 of about 129,005 (263)
Study on the comprehensive evaluation method of machine translation quality
The accurate evaluation of machine translation quality is the main basis of machine translation systems research and development. Based on the analysis of three translation quality assessment factors, i.e.
Yiqun Sun
doaj +1 more source
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
The Challenges of Using Machine Translation in Rendering Arabic Texts into English
Regardless of recent arguments about the wide-scale capabilities of artificial intelligence introduced into machine translation systems, some professionals still underestimate machine translation.
Haithm Zinhom
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Machine Translation Indonesian Bengkulu Malay Using Neural Machine Translation-LSTM
The machine translator is an application in Natural Language Processing (NLP) that focuses on translating between languages. Several previous research have used Statistical Machine Translation (SMT) with a parallel corpus of Indonesian and Bengkulu Malay
Bella Okta Sari Miranda +2 more
doaj +1 more source
Machine Translation in Indian Languages: Challenges and Resolution
English to Indian language machine translation poses the challenge of structural and morphological divergence. This paper describes English to Indian language statistical machine translation using preordering and suffix separation.
Patel Raj Nath +2 more
doaj +1 more source
Draft of textbook chapter on neural machine translation. a comprehensive treatment of the topic, ranging from introduction to neural networks, computation graphs, description of the currently dominant attentional sequence-to-sequence model, recent refinements, alternative architectures and challenges.
openaire +2 more sources
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
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

