Results 1 to 10 of about 3,844,929 (324)
Using Mobile Devices for Vocabulary Learning Outside the Classroom: Improving the English as Foreign Language Learners' Knowledge of High-Frequency Words. [PDF]
Front Psychol, 2022 The present study investigated the impacts of mobile assisted vocabulary learning via digital flashcards (DFs). The data were collected from 44 adult English as Foreign Language (EFL) learners in three intact classes in a private language teaching ...
Rahmani A, Asadi V, Xodabande I.
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Exploring the "anchor word" effect in infants: Segmentation and categorisation of speech with and without high frequency words. [PDF]
PLoS ONE, 2020 High frequency words play a key role in language acquisition, with recent work suggesting they may serve both speech segmentation and lexical categorisation. However, it is not yet known whether infants can detect novel high frequency words in continuous
Rebecca L A Frost +4 more
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Mark my words: High frequency marker words impact early stages of language learning. [PDF]
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019 High frequency words have been suggested to benefit both speech segmentation and grammatical categorization of the words around them. Despite utilizing similar information, these tasks are usually investigated separately in studies examining learning. We determined whether including high frequency words in continuous speech could support categorization
Rebecca L. A. Frost +2 more
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High frequency words in English textbooks for Indonesian senior high schools
Studies in English Language and Education, 2021 This content analysis study focused on three main purposes, including to analyse the High Frequency Words (HFWs) of Dolch’s list in reading texts from three English textbooks of Indonesian senior high schools, to analyse the language features of HFWs in ...
Rizki Meliani Rustan, Erna Andriyanti
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Frontiers in Psychology, 2021 Unlike in English, the role of phonology in word recognition in Chinese is unclear. In this event-related potential experiment, we investigated the role of phonology in reading both high- and low-frequency two-character compound Chinese words ...
Yuling Wang +4 more
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Applied Sciences, 2018 The subjects of literature are the direct expression of the author’s research results. Mining valuable knowledge helps to save time for the readers to understand the content and direction of the literature quickly.
Taoying Li +4 more
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Lexical access for low- and high-frequency words in Hebrew [PDF]
Memory & Cognition, 1985 The hypothesis that phonological mediation is involved to a greater extent in the recognition of low- than in the recognition of high-frequency words was examined using Hebrew. Hebrew has two forms of spelling, pointed and unpointed, which differ greatly in the extent of phonological ambiguity, with the unpointed spelling lacking almost all vowel ...
A. Koriat
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A Preliminary Research to Develop A Customized Set of Vocabulary Size Test [PDF]
LLT Journal: A Journal on Language and Language Teaching, 2016 This is a preliminary research to investigate useful words to function effectively in academic contexts, vocabulary size, the first-year students word list, and the steps to design the customized set of entry-level vocabulary size test. This research was
Laurentia Sumarni
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Towards a reconceptualisation of “word” for high frequency word generation in word knowledge studies
Perspectives in Education, 2014 The present paper derives from a PhD study investigating the nexus between Grade 4 textbook vocabulary demands and Grade 3 isiXhosa-speaking learners’ knowledge of that vocabulary to enable them to read to learn in Grade 4.
Jabulani Sibanda, Jean Baxen
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Efficient unsupervised discovery of word categories using symmetric patterns and high frequency words [PDF]
Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06, 2006 We present a novel approach for discovering word categories, sets of words sharing a significant aspect of their meaning. We utilize meta-patterns of high-frequency words and content words in order to discover pattern candidates. Symmetric patterns are then identified using graph-based measures, and word categories are created based on graph clique ...
Dmitry Davidov, Ari Rappoport
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