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Word recognition in noise and extended high frequency auditory thresholds
The Journal of the Acoustical Society of America, 2020Thirty-one individuals within the age-range of 18 to 27 years and 30 individuals within the age-range of 45 to 59 years participated in this study. Auditory thresholds were established in a sound treated booth from 250 to 16000 Hz. Words in noise scores were obtained under Sennheiser HD201 headphones through an iPad (NIH toolbox).
Vishakha Rawool, Chelsea Campbell
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Inadequate Aural Vocabulary Knowledge of High-Frequency Words
CALICO JournalAural vocabulary knowledge (AVK) of high-frequency words is critical for second language listening comprehension. However, learners of English as a foreign language (EFL), despite considerable periods of language study, often do not have the AVK needed for basic communicative competence.
Joshua Matthews, Kriss Lange
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Frequency-Importance Functions for Words in High- and Low-Context Sentences
Journal of Speech, Language, and Hearing Research, 1992The relative importance and absolute contributions of various spectral regions to speech intelligibility under conditions of either neutral or predictable sentential context were examined. Specifically, the frequency-importance functions for a set of monosyllabic words embedded in a highly predictive sentence context versus a sentence with little ...
T S, Bell, D D, Dirks, T D, Trine
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On the Loss of High-Frequency Function Words
Journal of Germanic Linguistics, 2013The loss of high-frequency function words is puzzling. Although they form part of core grammar—and, in some cases, have done so for thousands of years—some function words seem to just suddenly disappear. While the grammaticalization of content words into function words correlates with increase in usage, the loss of high-frequency function words cannot ...
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News Headline Corpus Construction and High Frequency Word Extraction
2020It is a fascinating research topic to use the high-frequency words in the news headlines to compare the cultural values of China and the United States. However, the amount of information on various types of news websites is huge on the Internet. If no adopting any intelligent tools it is difficult to obtain information that meets certain conditions ...
Jianhui Ling +3 more
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Journal of the American Society for Information Science, 1999
A simpler model is proposed for estimating the frequency of any same-frequency words and identifying the boundary point between high-frequency words and low-frequency words in a text. The model, based on a maximum ranking method, assigns ranks to the words and estimates word frequency by the formula: Int[(-1 + (1 + 4D/I n+1 ) 1/2 )/2] > n * ≥ Int[(-1 +
Qinglan Sun +2 more
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A simpler model is proposed for estimating the frequency of any same-frequency words and identifying the boundary point between high-frequency words and low-frequency words in a text. The model, based on a maximum ranking method, assigns ranks to the words and estimates word frequency by the formula: Int[(-1 + (1 + 4D/I n+1 ) 1/2 )/2] > n * ≥ Int[(-1 +
Qinglan Sun +2 more
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THE IMPORTANCE OF HIGH FREQUENCY WORDS IN ENGLISH LEARNING
2021The article discusses the study of foreign languages English, which is one of the most pressing issues today. It is no secret that memorizing words is the most effective way to learn a foreign language. The scientific work is devoted to this area of language learning, and a new approach the most important of the new words being studied, that is, the ...
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High-frequency words have higher frequencies in Turkish social sciences article
Quality & Quantity, 2022Necmi Gürsakal +2 more
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The recognition potential and the word frequency effect at a high rate of word presentation
Cognitive Brain Research, 1999The short latency of the recognition potential (RP) suggests that it might be evoked at a high rate, which could speed noise reduction through averaging. Words were presented at 800 ms intervals. Mean RP latency for 16 subjects was 266 ms for high and 292 ms for low frequency words. The difference was statistically significant.
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