Results 61 to 70 of about 1,711,686 (277)
STUDENTS’ GRAMMATICAL COLLOCATION ERRORS AND ITS’ IMPLICATION IN TEACHING WRITING
IJET (Indonesian Journal of English Teaching), 2016 The Regulation of Minister of Education and Culture of the Republic of Indonesia number 49 2014 on National Standard of Higher Education stated that National Standard Research is the minimum criterion of research on higher education system in force in ...
Sayyidatul Fadlilah
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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
A Two-Stage Model for Chinese Grammatical Error Correction
IEEE Access, 2019 Chinese grammatical error correction (GEC) is more challenging than English GEC due to its language characteristics. In this paper, a two-stage model was proposed to solve the Chinese GEC problem.
Zhaoquan Qiu, Youli Qu
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Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 Until now, error type performance for Grammatical Error Correction (GEC) systems could only be measured in terms of recall because system output is not annotated. To overcome this problem, we introduce ERRANT, a grammatical ERRor ANnotation Toolkit designed to automatically extract edits from parallel original and corrected sentences and classify them ...
Christopher Bryant 0001 +2 more
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Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
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Analyse des erreurs grammaticales dans le cours de la production écrite du 4ème semestre
Digital Press Social Sciences and Humanities, 2019 Writing is a proficiency which is very difficult and complex. This is because the learner needs many aspects to master, such as lexical aspect, grammatical aspect, the ability to present facts and express their thoughts, etc.
Rini, Setia
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Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications - EdAppsNLP '09, 2009 This paper explores the issue of automatically generated ungrammatical data and its use in error detection, with a focus on the task of classifying a sentence as grammatical or ungrammatical. We present an error generation tool called GenERRate and show how GenERRate can be used to improve the performance of a classifier on learner data.
Foster, Jennifer, Andersen, Øistein E.
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Supporting AI Readiness Through Digital Workflows in Materials Science
Advanced Engineering Materials, EarlyView.Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
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A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
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Науковий Вісник Південноукраїнського Національного Педагогічного Університету імені К. Д. УшинськогоThe article is devoted to the actual problem of producing grammatically normalized speech among students of a medical institution of higher education.
Melnyk Tetiana
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