Results 101 to 110 of about 646,422 (278)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Legal Language and The Legal Translator [PDF]
It is impossible to set up standards of translation performance and equivalence which will apply to any legal translation because the "languages of law" are as varied as the cases that reach the courts every day. Moreover, the translation of legal texts is often complicated by the lack of exact lexical equivalents in the TL's own legal system so that a
openaire +2 more sources
La traduzione brevettuale dal tedesco all’italiano: applicazioni didattiche e prospettive professionali [PDF]
This paper argues that the text-type “patent” is eminently suitable for teaching specialized translation at MA level. Translating a patent is a challenge at two levels, given that its technical content is expressed by means of a textual and linguistic
Proia, Fabio
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Translation resources and translator disempowerment [PDF]
Language resources used for machine translation are created by human translators. These translators have legal rights with regard to copyright ownership of translated texts and databases of parallel bilingual texts, but may not be in a position to ...
Lewis, David +4 more
core
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
RETRACTED: How to Raise Quality Assurance in Legal Translation: The Question of Objectivity?
The aim of the present study is to propose an approach to legal translation quality so as to address the idiosyncrasies in legal studies and to confront the challenges and flaws of previous paradigms and models of translation quality assessment.
Akbari Alireza
doaj +1 more source
What it takes to do it right: an integrative EMT-based model for legal translation competence [PDF]
Over the past few decades, research has yielded valuable models for the conceptualisation of translation competence, both in the academic and professional worlds (G\uf6pferich 2009; Kelly 2002; PACTE 2003).
Orlando, Daniele, Scarpa, Federica
core
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
The Role of Culture in Legal Languages, Legal Interpretation and Legal Translation. [PDF]
Piszcz A, Sierocka H.
europepmc +1 more source

