Results 91 to 100 of about 67,162,078 (293)
From second language acquisition research to foreign language teaching through the prism of corpora
Corpus linguistics can be seen as a set of methods applicable to different branches of linguistics. This article deals with the application of corpus linguistics (including learner corpus research) to second language acquisition (SLA) research and ...
Gaëtanelle Gilquin
doaj +1 more source
Lexical simplification in learner translation: A corpus-based approach
The advance of corpus-based methodology in translation studies has greatly enhanced our understanding of the nature of translational language. While most research efforts have focused on identifying the unique features of translations carried out by ...
Ho Ling KWOK, Sara LAVIOSA, Kanglong LIU
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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
Opening Pandora’s box: Is learner corpus research inclusive enough?
Following the LCR 2024 organizers’ call to “champion corpus research involving learning of smaller languages and by learners with a small L1, as well as language learning in plurilingual settings”,1 this presentation aims to move the debate beyond the ...
7th Learner Corpus Research Conference (LCR 2024) +1 more
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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
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
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
The Pedagogical Mediation of a Developmental Learner Corpus for Classroom-Based Language Instruction [PDF]
Although corpora have been used in language teaching for some time, few empirical studies explore their impact on learning outcomes. We provide a microgenetic account of learners’ responses to corpus-driven instructional units for German modal particles ...
Julie A. Belz, Nina Vyatkina
doaj
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Background: Rhetorical moves have long been studied in several disciplinary texts, including research articles and their part-genres. A solid base of literature has emerged in this respect, informing current writing pedagogy for novice writers. However,
Priya Mathew, Lee Mccallum
doaj +1 more source

