Results 41 to 50 of about 3,993 (256)

Why Translation Is Difficult: A Corpus-Based Study of Non-Literality in Post-Editing and From-Scratch Translation

Hermes, 2017
The paper develops a definition of translation literality that is based on the syntactic and semantic similarity of the source and the target texts. We provide theoretical and empirical evidence that absolute literal translations are easy to produce ...
Michael Carl, Moritz Jonas Schaeffer
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Translation quality, use and dissemination in an Internet era: using single-translation and multi-translation parallel corpora to research translation quality on the Web

JoSTrans: The Journal of Specialised Translation, 2015
The Internet revolution is having a profound impact on the practice and theorisation of translation. Among the many changes induced by this revolution, this corpus-based study focuses on the impact of the immediacy afforded by the Internet on the fuzzy ...
Miguel A. Jiménez-Crespo
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

‘Far Away Days’ or ‘Far Distant Days’? Assessing Translation Acceptability in Corpus of Contemporary American English (COCA) and British National Corpus (BNC)

Humaniora, 2014
Translating Indonesian reduplications into English is not an easy matter due to the difference in morphological form, syntactic function and semantic meaning of reduplications in both languages.
Clara Herlina Karjo
doaj   +3 more sources

Efficient incremental training using a novel NMT-SMT hybrid framework for translation of low-resource languages

Frontiers in Artificial Intelligence
The data-hungry statistical machine translation (SMT) and neural machine translation (NMT) models offer state-of-the-art results for languages with abundant data resources.
Kumar Bhuvaneswari, Murugesan Varalakshmi   +1 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Translator’s creativity in cultural elements transposition: a corpus-based study

Quaderns de Filologia: Estudis Lingüístics, 2018
This article presents a corpus-based study developed to determine the degree of creativity (as opposed to conventionalism) in the translation of cultural elements. Considering creativity as the use of those strategies that manipulate the lexical material
Virginia Mattioli
doaj   +1 more source