Results 41 to 50 of about 24,297 (263)

Possibilities of Searching for Linguistic Means of Expressing Semantic Categories in Translation by Using Corpus-Based Methods

Дискурс, 2022
Introduction. The article focuses on linguistic means of expressing the invariant in receiving language in translation. The purpose of the article is to construct a semantic field of linguistic means that represent language to use in speech production ...
I. A. Lekomtseva, A. Kh. Abdulmanova, M. N. Kulikova   +2 more
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

Das multilinguale fachsprachliche Korpus TK-NHH – Eine korpusbasierte Fallstudie über die explicitation hypothesis anhand von ins Deutsche und Englische übersetzten Rechtstexten

Hermes, 2011
The present study is a case study about the explicitation hypothesis in legal translations into German and English by means of a corpus-based approach and will present preliminary findings.
Ingrid Simonnæs
doaj   +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

TESTING OUT TRANSLATION UNIVERSALS IN LEGAL TRANSLATION

Comparative Legilinguistics, 2020
Research into ‘translation universals’ in legal translation is a relatively new field, which still needs to be expanded with further empirical studies. The few studies conducted so far fall into two main categories: a) analyses that explore the typical ...
Gianluca Pontrandolfo
doaj   +4 more sources

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

Swearwords in English-Polish Audiovisual Translation of TV Series: A Corpus-Based Analysis

Acta Universitatis Wratislaviensis. Anglica Wratislaviensia
The aim of this study is to provide insights into how contemporary English- Polish audiovisual translation of subtitles approaches swearwords; the study is based on a quantitative analysis of practices in the translation of swearwords by Polish ...
Jędrzej Olejniczak
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

Advances in corpus applications in literary and translation studies

Translation and Interpreting : the International Journal of Translation and Interpreting Research
In response to the call for integrating humanities research with advanced machine-enabled data collection and analysis methods in an increasingly digitalized era (Berry, 2012), this volume presents a comprehensive collection of studies that explore the ...
Simin Xu, Han Xu
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