Results 21 to 30 of about 23,482 (252)
Journal of China Computer-Assisted Language Learning, 2021 Corpus tools are known to be effective in helping L2 learners improve their writing, especially regarding their use of words. Most corpus-based L2 writing research has focused on university students while little attention has been paid to secondary ...
Fang Liuqin, Ma Qing, Yan Jiahao
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Az észt névtervezés az észt nyelvpolitikai modell tükrében
Névtani Értesítő, 2016 The name management in the mirror of the Estonian LPP-model The Estonian model of language planning and policy, which has been serving the development and protection of the Estonian language in its current form since 2004, is one of the most
Péter Pomozi, Eszter Földesi
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Mapping Digital Discourses of the Capital Region of Finland
Names, 2022 This article discusses the three Finnish city names Helsinki, Espoo, and Vantaa, and the urban discourses that surround them. The study reveals patterns of socio-spatial differentiation by examining what meanings people attach to these capital region ...
Jarmo Harri Jantunen +3 more
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Spatiotemporal Changes of China's Carbon Emissions
Geophysical Research Letters, 2018 Spatiotemporal changes in China's carbon emissions during the 11th and 12th Five‐Year Plan periods are quantified for the first time through a reconstructed nationwide high‐resolution gridded data set.
Bofeng Cai +9 more
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The YLI-MED Corpus: Characteristics, Procedures, and Plans
CoRR, 2015 47 pages; 3 figures; 25 tables.
Karabashlieva, Sara +9 more
openaire +2 more sources
Frontiers in Psychology, 2018 As conversation is the most important way of using language, linguists and psychologists should combine forces to investigate how interlocutors deal with the cognitive demands arising during conversation.
Antje S. Meyer +3 more
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SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Generalized Planning for the Abstraction and Reasoning Corpus
Proceedings of the AAAI Conference on Artificial IntelligenceThe Abstraction and Reasoning Corpus (ARC) is a general artificial intelligence benchmark that poses difficulties for pure machine learning methods due to its requirement for fluid intelligence with a focus on reasoning and abstraction. In this work, we introduce an ARC solver, Generalized Planning for Abstract Reasoning (GPAR). It casts an ARC problem
Lei, C, Lipovetzky, N, Ehinger, KA
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Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source