Results 31 to 40 of about 6,714 (260)

The effects of lexical frequency and homophone neighborhood density on incomplete tonal neutralization

open access: yesFrontiers in Psychology, 2022
We investigated the effects of lexical frequency and homophone neighborhood density on the acoustic realization of two neutralizing falling tones in Dalian Mandarin Chinese.
Yifei Bi, Yiya Chen, Yiya Chen
doaj   +1 more source

Comparing the Lexical Density of Spoken and Written News

open access: yesLinguistics and ELT Journal, 2022
This paper is concerned with lexical density in spoken and written news on BBC News. The purpose of this study is to investigate the lexical density found in spoken and written news regarding the Afghanistan and Taliban conflict broadcasted by BBC. The method applied in this study was a qualitative method.
Mulyati Khorina   +1 more
openaire   +1 more source

An Analysis of Written Texts in the Economic Field. Case Study [PDF]

open access: yesOvidius University Annals: Economic Sciences Series, 2020
This article focuses on the analysis of written texts by text analysis tools as a useful instrument to ESP teachers in the design of their courses and seminars.
Alina Buzarna-Tihenea (Gălbează)
doaj  

The relationship between narrative microstructure and macrostructure: Differences between six- and eight-year-olds

open access: yesPsychology of Language and Communication, 2022
The current study aimed to investigate age-related differences in narrative abilities at the macrostructural and microstructural levels and to examine which microstructural aspects explain narrative macrostructure at ages six and eight.
Košutar Sara   +2 more
doaj   +1 more source

Heritage Language Learners’ Lexical Performance across Pair Types and (Non-)Digital Collaborative Writing Task Environments

open access: yesLanguages, 2021
A need exists to address how the availability of digital platforms plays a role in collaborative writing. Further, interest has emerged to understand heritage language (HL) learners’ writing as a result of task-based peer interactions with either second ...
Julio Torres, Nicole A. Vargas Fuentes
doaj   +1 more source

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

The relationship between receptive and productive vocabulary of Slavic EFL learners

open access: yesTopics in Linguistics, 2016
This study investigates the relationship between learners’ receptive vocabulary knowledge as measured by the Vocabulary Size Test (Nation and Beglar, 2007) and free productive vocabulary knowledge as demonstrated by the learners when writing a short ...
Šišková Zdislava
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced 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
wiley   +1 more source

Prominent linguistic features of pedagogical texts to provide consideration for authentic text simplification

open access: yesStudies in English Language and Education
Teaching materials are significant items that are unique and specific. Therefore, the selections should be relevant to students’ proficiency. This research aimed (1) to disclose lexical density, readability, nominalizations, and modifiers in pedagogical ...
Try Mahendra Siregar, Widyastuti Purbani
doaj   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

open access: yesAdvanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang   +7 more
wiley   +1 more source

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