Results 61 to 70 of about 3,830 (252)
Research on grammatical error correction algorithm in English translation via deep learning
This study provides a concise overview of a grammatical error correction algorithm that is based on an encoder-decoder machine translation structure.
Cai Lihua
doaj +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Ecological validity in corpus-based and experimental translation research
This study provides insights into the ecological validity of experimental results in translation process research (TPR) by comparing translation products under three different conditions: produced in a translation research lab, in the translators' usual ...
Jonas Freiwald +3 more
doaj +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Swearwords in English-Polish Audiovisual Translation of TV Series: A Corpus-Based Analysis
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
Changing Norms in Translated Finnish Fiction: A Study of Non-standard Varieties
The article deals with Finnish translations of varieties of spoken language in fiction from the late 19th century to the beginning of the 2000s. It presents the central findings of a comprehensive study on the changes and developments of translational ...
Liisa Tiittula, Pirkko Nuolijärvi
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Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
A Corpus-Based Study of Dual Pronoun Translation
This article aims to answer the following questions: what is the distribution of dual pronouns in original and translated Lithuanian fiction texts; what English language patterns are rendered by Lithuanian dual pronouns; and how Lithuanian dual pronouns ...
Vaičenonienė Jurgita
doaj +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

