Results 31 to 40 of about 7,836 (248)
Studies in Second Language Learning and Teaching, 2021 Prior research demonstrates that primary and secondary school teachers often find teaching young learners to write in a second language a slow and effortful process. Moreover, students in this age range lack the motivation to write.
Gavin Bui, Xueya Luo
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Capturing the Diversity in Lexical Diversity
Language Learning, 2013 The range, variety, or diversity of words found in learners’ language use is believed to reflect the complexity of their vocabulary knowledge as well as the level of their language proficiency. Many indices of lexical diversity have been proposed, most of which involve statistical relationships between types and tokens, and which ultimately reflect the
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Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
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Text length requirements for stable and genre-sensitive lexical diversity measurement
Cogent Arts & HumanitiesLexical diversity, widely recognized as an essential indicator of language proficiency and cognitive ability, plays a pivotal role across various linguistic analyses. However, lexical diversity metrics are inherently sensitive to text length, introducing
Wanwan Zheng
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Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
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Developmental Features of Lexical Richness in English Writings by Chinese L3 Beginner Learners
Frontiers in Psychology, 2021 Lexical richness is considered as one of the most efficient methods for assessing writing proficiency and development. However, the developmental features of lexical richness in L3 writing remain relatively poorly understood compared with that of L2 ...
Xuelan Li, Huiping Zhang
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Modeling lexical decision: The form of frequency and diversity effects. [PDF]
Psychological Review, 2008 What is the root cause of word frequency effects on lexical decision times? W. S. Murray and K. I. Forster (2004) argued that such effects are linear in rank frequency, consistent with a serial search model of lexical access. In this article, the authors (a) describe a method of testing models of such effects that takes into account the possibility of ...
James S. Adelman, Gordon D. A. Brown
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LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
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Comparing Word Frequencies and Lexical Diversity with the ZipfExplorer Tool [PDF]
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 The ZipfExplorer is a tool for the interactive comparison and visualization of shared word type frequencies for two texts or corpora. The tool can be used to give insight into similarities and differences in textual and discourse content in terms of individual keywords or groups of keywords, and also calculates several measures of lexical diversity ...
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Advanced Science, EarlyView.Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
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