Results 81 to 90 of about 325,723 (299)
A Bayesian approach to translators' reliability assessment [PDF]
arXiv, 2022 Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation, and for finding an agreement between translation providers and their customers.
arxiv
Molecular Oncology, EarlyView.The study evaluated the function and therapeutic implications of PRAME in basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). The findings demonstrate that PRAME impairs keratinocyte differentiation pathways. Furthermore, PRAME impairs anticancer response to retinoid compounds in BCC and SCC cells.
Brandon Ramchatesingh +6 more
wiley +1 more source
Revista de Estudos da Linguagem, 2021 : This paper presents a proposal for pedagogical use of MT in English for Specific Purpose (ESP) courses, aiming at investigating the efficiency of this technology as a support for reading scientific texts in English as a FL.
Débora Borsatti, Adriana Blanco Riess
doaj +1 more source
Evaluation of synaptotagmin‐1 action models by all‐atom molecular dynamics simulations
FEBS Open Bio, EarlyView.We used molecular dynamics simulations to test models proposing that synaptotagmin‐1 facilitates membrane fusion by perturbing lipid bilayers, inducing membrane curvature and/or bridging membranes. The simulations show that synaptotagmin‐1 C2‐domains placed near the site of fusion hinder the ability of SNARE complexes to bring the membranes together ...
Josep Rizo +2 more
wiley +1 more source
Cinema as a form of composition
Techne, 2021 Technique and creativity Having been called upon to provide a contribution to a publication dedicated to “Techne”, I feel it is fitting to start from the theme of technique, given that for too many years now, we have fruitlessly attempted to understand
Michele Guerra
doaj +1 more source
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
ATLASLang NMT: Arabic text language into Arabic sign language neural machine translation
Journal of King Saud University: Computer and Information Sciences, 2021 ATLASLang is a machine translation system from Arabic text language into Arabic sign language (ArSL). The first version of the system (Brour and Benabbou, 2019) is based on two approaches: rule-based Interlingua and example-based approaches.
Mourad Brour, Abderrahim Benabbou
doaj
Can neural machine translation do simultaneous translation? [PDF]
arXiv, 2016 We investigate the potential of attention-based neural machine translation in simultaneous translation. We introduce a novel decoding algorithm, called simultaneous greedy decoding, that allows an existing neural machine translation model to begin translating before a full source sentence is received.
arxiv
Tulu Language Text Recognition and Translation
IEEE AccessLanguage is a primary means of communication, but it is not the only means; knowing a language does, however, assist speed up the process. Many distinct languages are spoken worldwide, and people use them to communicate.
Prathwini +3 more
doaj +1 more source
Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020 [PDF]
arXiv, 2020 Video-guided machine translation as one of multimodal neural machine translation tasks targeting on generating high-quality text translation by tangibly engaging both video and text. In this work, we presented our video-guided machine translation system in approaching the Video-guided Machine Translation Challenge 2020.
arxiv