Results 61 to 70 of about 3,454 (261)
Error annotation in a Learner Corpus of Portuguese
We present the error tagging system of the COPLE2 corpus and the first results of its implementation.. The system takes advantage of the corpus architecture and the possibilities of the TEITOK environment to reduce manual effort and produce a final standoff, multilevel annotation with position-based tags that account for the main error types observed ...
Mendes, Amália, del Río, Iria
openaire +3 more sources
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Construction of a Learner Corpus for Japanese Language Learners: Natane and Nutmeg
Japanese language learners aim to acquire reading, listening, writing and speaking skills. We at the Hinoki project (https://hinoki-project.org/) have recently been working on the Natsume collocation search system (https://hinoki-project.org/natsume/), the Natane learner corpus to support Natsume (https://hinoki-project.org/natane/) and the Nutmeg ...
Abekawa, Takeshi +3 more
openaire +4 more sources
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Using Learner Corpora to Inform Material Development and Classroom Practices
This article examines how a university in Japan uses a longitudinal learner corpus to bridge the gap between research and classroom practice in a two-year English for Academic Purposes (EAP) program.
Gavin Brooks
doaj +1 more source
In recent years, the advent of computer technology and software tools have made it available for more complicated and fully operational facilities for corpus linguistics.
Ali Şükrü Özbay, Hanife Öztürk
doaj
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
This paper introduces the Slovene subcorpus of the International Corpus of Learner English (ICLE), the first representative dataset of English produced by Slovene L1 speakers.
Monika Kavalir
doaj +1 more source
Endothelial miR‐15a/16‐1 deletion promotes long‐term recovery after traumatic brain injury by restoring SYNE1 expression. Enhanced endothelial SYNE1 preserves vascular integrity, protects white and gray matter, and improves neurological function. The endothelial miR‐15a/16‐1–SYNE1 axis emerges as a key regulator of neurovascular repair and a potential ...
Shun Li +17 more
wiley +1 more source

