Obligatory decomposition in reading prefixed words

2006 ◽  
Vol 1 (2) ◽  
pp. 183-199 ◽  
Author(s):  
Marcus Taft ◽  
Sam Ardasinski
Keyword(s):  
Lexical Decision ◽  
High Frequency ◽  
Low Frequency ◽  
Real Word ◽  
Word Representation ◽  
Pathways Model ◽  
Whole Word ◽  
Prefixed Words ◽  
The Impact

The reported experiment examines the impact of stem frequency on lexical decision responses to prefixed words. Both when the nonword distractors had nonsense stems (e.g., recodge) and real-word stems (e.g., relaugh), words with high frequency stems (e.g., unreal) were recognized more quickly than words with low frequency stems (e.g., refuel) when matched on surface frequency. This was taken as evidence that a whole-word representation exists for prefixed words, but that activation of this representation is always mediated by a representation of the stem, unlike the claims of a Dual Pathways model.

It’s hard to be talented

2019 ◽  
Vol 14 (1) ◽  
pp. 124-151
Author(s):  
Marcus Taft ◽  
Sonny Li
Keyword(s):  
Lexical Decision ◽  
Negative Correlation ◽  
Lexical Representation ◽  
Decision Task ◽  
Functional Information ◽  
Real Word ◽  
Free Standing ◽  
Word Representation ◽  
Task Recognition ◽  
Whole Word

Abstract In a visual lexical decision task, recognition is shown in two experiments to be harder for possessional adjectives that look like they are inflected verbs (e.g., talented) than for genuine inflected verbs (e.g., consulted), especially when the nonword distractors have real-word stems (e.g., infanted). Such a result implies that inflected words do not have a form-based whole word representation, but are recognized when functional information associated with their stem and affix is recombined after decomposition. A third experiment goes on to demonstrate that the addition of the verb suffix -ing to the noun stem of such pseudo-verb-stem words (i.e., talenting) leads to more erroneous classifications as a real word than when the stem is another type of noun (e.g., infanting). Moreover, a negative correlation is observed between the accuracy of recognition of the pseudo-verb-stem words and the classification as a nonword of the -ing version of their stems. On the basis of these experiments, a model is proposed in which a pseudo-verb-stem word is recognized through a lexical representation of its stem that corresponds to a bound ornative verb and which is different to the representation used to recognize its free-standing noun version.

scholarly journals Statistical regularities cause attentional suppression with target-matching distractors

2020 ◽  
Author(s):  
Dirk Kerzel ◽  
Stanislas Huynh Cong
Keyword(s):  
High Frequency ◽  
Target Location ◽  
Low Frequency ◽  
Target Display ◽  
Distractor Location ◽  
Target Feature ◽  
Statistical Regularities ◽  
Feature Based ◽  
The Impact ◽  
Target Matching

AbstractVisual search may be disrupted by the presentation of salient, but irrelevant stimuli. To reduce the impact of salient distractors, attention may suppress their processing below baseline level. While there are many studies on the attentional suppression of distractors with features distinct from the target (e.g., a color distractor with a shape target), there is little and inconsistent evidence for attentional suppression with distractors sharing the target feature. In this study, distractor and target were temporally separated in a cue–target paradigm, where the cue was shown briefly before the target display. With target-matching cues, RTs were shorter when the cue appeared at the target location (valid cues) compared with when it appeared at a nontarget location (invalid cues). To induce attentional suppression, we presented the cue more frequently at one out of four possible target positions. We found that invalid cues appearing at the high-frequency cue position produced less interference than invalid cues appearing at a low-frequency cue position. Crucially, target processing was also impaired at the high-frequency cue position, providing strong evidence for attentional suppression of the cued location. Overall, attentional suppression of the frequent distractor location could be established through feature-based attention, suggesting that feature-based attention may guide attentional suppression just as it guides attentional enhancement.

scholarly journals The Impact of Physical Environment and Regional Image on Tourist’s Experiential Values and Feelings: An Example of Nanzhuang Area in Taiwan

2015 ◽  
Vol 10 (11) ◽  
pp. 94
Author(s):  
Shwu-Ing Wu ◽  
Li Chia Huang
Keyword(s):  
Significant Influence ◽  
Physical Environment ◽  
High Frequency ◽  
Low Frequency ◽  
Equation Modeling ◽  
Independent Variables ◽  
Frequency Group ◽  
Experiential Value ◽  
The Impact ◽  
Two Independent Variables

With the booming global tourism activities, many countries around the world are actively promoting regional tourism. Thus, understanding the tourists’ needs is important in developing tourism promotion strategies. With Nanzhuang Township, Miaoli County as the case study, this paper discusses the influence of the two independent variables, the tangible physical environment and the intangible regional image, tourists’ experiential value and the feelings after tourism. This study conducted a questionnaire survey on tourists who have visited Nanzhuang Township, Miaoli County, by convenience sampling, in order to construct the model of regional experience marketing effect. A total of 743 effective samples were retrieved. After analysis by structural equation modeling (SEM), it is found that: (1) the physical environment has a positive and significant influence on the tourists’ experiential value; (2) regional image has a positive and significant influence on the tourist’s experiential value; (3) the experiential value has a positive and significant influence on satisfaction; (4) satisfaction has a positive and significant influence on trust and commitment; (5) trust has no significant influence on commitment. Regarding the two independent variables, regional image has more influence. In addition, after comparing the group models by clustering with the high and low frequency of the number of visits, it is found that there are some differences between the high frequency group and the low frequency group, where the regional image of the high frequency group has a greater influence on the experiential value and the physical environment of the low frequency group has a greater influence on the experiential value. The findings can serve as reference for the local government and the tourism operators to develop regional marketing strategies.

Feature Analysis of Mechanical Fault Signals Based on the Wavelet Transform Technique

2010 ◽  
Vol 139-141 ◽  
pp. 2502-2505
Author(s):  
Bing Cheng Wang ◽  
Zhao Hui Ren
Keyword(s):  
High Frequency ◽  
Amplitude Spectrum ◽  
Low Frequency ◽  
Feature Analysis ◽  
Oil Whip ◽  
Frequency Components ◽  
Quantitative Manner ◽  
Beat Phenomenon ◽  
The Impact ◽  
The Relationship

Simulated four different fault signals in the lab, the authors then used wavelet scalogram and amplitude spectrum to make analysis on the above four fault signals and abstract each spectrum characteristics. Wavelet scalogram was able to extract the characteristic’s frequency, show the impact components caused by rub-impact, show the beat phenomenon caused by oil whip and show the irreducible high frequency components as well as the complex low-frequency components. Amplitude spectrum was able to show the energy size distribution at various frequency bands and able to analyze and calculate the relationship between various frequency components. Thus they express the relationship between various frequency banks from a quantitative manner. Therefore, combining the wavelet scalogram and amplitude spectrum when making analysis, as they complement and verify each other, it will enhance the reliability when extract and analyze the characteristics of fault signal.

scholarly journals Tracking the impact of COVID-19 on economic inequality at high frequency

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249121
Author(s):  
Oriol Aspachs ◽  
Ruben Durante ◽  
Alberto Graziano ◽  
Josep Mestres ◽  
Marta Reynal-Querol ◽  
...  
Keyword(s):  
High Frequency ◽  
Public Policies ◽  
Economic Inequality ◽  
Low Frequency ◽  
Government Support ◽  
Foreign Born ◽  
Wage Earners ◽  
The Impact ◽  
Wage Cuts ◽  
Fine Tune

Pandemics have historically had a significant impact on economic inequality. However, official inequality statistics are only available at low frequency and with considerable delay, which challenges policymakers in their objective to mitigate inequality and fine-tune public policies. We show that using data from bank records it is possible to measure economic inequality at high frequency. The approach proposed in this paper allows measuring, timely and accurately, the impact on inequality of fast-unfolding crises, like the COVID-19 pandemic. Applying this approach to data from a representative sample of over three million residents of Spain we find that, absent government intervention, inequality would have increased by almost 30% in just one month. The granularity of the data allows analyzing with great detail the sources of the increases in inequality. In the Spanish case we find that it is primarily driven by job losses and wage cuts experienced by low-wage earners. Government support, in particular extended unemployment insurance and benefits for furloughed workers, were generally effective at mitigating the increase in inequality, though less so among young people and foreign-born workers. Therefore, our approach provides knowledge on the evolution of inequality at high frequency, the effectiveness of public policies in mitigating the increase of inequality and the subgroups of the population most affected by the changes in inequality. This information is fundamental to fine-tune public policies on the wake of a fast-moving pandemic like the COVID-19.

scholarly journals Levels of Affixation in the Acquisition of English Morphology: A Review of Selected Paper

2019 ◽  
Vol 1 (2) ◽  
pp. 68-72
Author(s):  
Sikin Nuratika ◽  
Nilam Cahaya Fitri Yanti ◽  
Ester Mayer
Keyword(s):  
Language Development ◽  
Lexical Decision ◽  
High Frequency ◽  
Native Speakers ◽  
Low Frequency ◽  
Word Formation ◽  
Level 3 ◽  
Native Speakers Of English ◽  
Level 1 ◽  
Level 2

In considering word formation in language development, there appear to be two central issues which can broadly be characterized as questions relating to (i) productivity, and (ii) constraints. This paper reviews one of the renowned articles which involving the theory of level-ordering that has three levels  within the lexicon, children, recognize high-frequency words than low-frequency words written by Peter Gordon (1989), entitled "Levels of Affixation in the Acquisition of English Morphology." This study has three untimed lexical-decision experiments which were carried out with 5- through 9-year-olds of native speakers of English and found general support for a systematic relation between productivity and level assignment. The aim of this paper is to make sure the readers would understand what the article's researcher try to explain about the word-formation such as stem, the stem which add affixes of Level 1, stem which adds affixes of Level 2, and stem which add affixes of Level 3. Moreover, this article's references are accurate (valid) and well-argued. This article is highly recommended for word formation in language development because the researcher stated that children might have a significant part in this process. Therefore, this paper seen the word-formation will be rich in language development depends on how often people actively create words, for example, by combining stems and affixes in much the same way that they generate sentences.

Layout Effects on High Frequency and Noise Parameters in MOSFETs

2017 ◽  
Vol 6 (1) ◽  
pp. 88
Author(s):  
Asmaa Nur Aqilah Zainal Badri ◽  
Norlaili Mohd Noh ◽  
Shukri Bin Korakkottil Kunhi Mohd ◽  
Asrulnizam Abd Manaf ◽  
Arjuna Marzuki ◽  
...  
Keyword(s):  
High Frequency ◽  
Noise Figure ◽  
Low Frequency ◽  
Frequency Noise ◽  
Noise Parameters ◽  
Trench Isolation ◽  
Gate Resistance ◽  
The Impact ◽  
Rf Noise ◽  
Better Than

<p>This study reviews related studies on the impact of the layout dependent effects on high frequency and RF noise parameter performances, carried out over the past decade. It specifically focuses on the doughnut and multi- finger layouts. The doughnut style involves the polygonal and the 4- sided techniques, while the multi-finger involving the narrow-oxide diffusion (OD) and multi-OD. The polygonal versus 4-sided doughnut, and the narrow-OD with multi-fingers versus multi-OD with multi- fingers are reviewed in this study. The high frequency parameters, which are of concern in this study, are the cut- off frequency (f<sub>T</sub>) and the maximum frequency (f<sub>MAX</sub>), whereas the noise parameters involved are noise resistance (R<sub>N</sub>) and the minimum noise figure (NF<sub>min</sub>). In addition, MOSFET parameters, which are affected by the layout style that in turn may contribute to the changes in these high frequency, and noise parameters are also detailed. Such parameters include transconductance (G<sub>m</sub>); gate resistance (R<sub>g</sub>); effective mobility (μ<sub>eff</sub>); and parasitic capacitances (c<sub>gg</sub> and c<sub>gd</sub>). Investigation by others has revealed that the polygonal doughnut may have a larger total area in comparison with the 4- sided doughnut. It is also found by means of this review that the multi-finger layout style with narrow-OD and high number of fingers may have the best performance in f<sub>T</sub> and f<sub>MAX</sub>, owing partly to the improvement in G<sub>m</sub>, μ<sub>eff</sub>, c<sub>gg</sub>, c<sub>gd</sub> and low frequency noise (LFN). A multi-OD with a lower number of fingers may lead to a lower performance in f<sub>T</sub> due to a lower G<sub>m</sub>. Upon comparing the doughnut and the multi-finger layout styles, the doughnuts appeared to perform better than a standard multi-finger layout for f<sub>T</sub>, f<sub>MAX</sub>, G<sub>m</sub> and μ<sub>eff</sub> but are poorer in terms of LFN. It can then be concluded that the narrow-OD multi-finger may cause the increase of c<sub>gg</sub> as the transistor becomes narrower, whereas a multi-OD multi-finger may have high R<sub>g</sub> and therefore may lead to the increase of f<sub>T</sub> and f<sub>MAX</sub> as the transistor becomes narrower. Besides, the doughnut layout style has a higher G<sub>m</sub> and f<sub>T</sub>, leading to larger μ<sub>eff</sub> from the elimination of shallow trench isolation (STI) stress.</p>

scholarly journals High-G Calibration Denoising Method for High-G MEMS Accelerometer Based on EMD and Wavelet Threshold

Micromachines ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 134 ◽  
Author(s):  
Qing Lu ◽  
Lixin Pang ◽  
Haoqian Huang ◽  
Chong Shen ◽  
Huiliang Cao ◽  
...  
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Original Signal ◽  
Denoising Method ◽  
Mems Accelerometer ◽  
Mode Decomposition ◽  
Impact Peak ◽  
Reconstructed Signal ◽  
Mems Accelerometers ◽  
The Impact

High-G MEMS accelerometers have been widely used in monitoring natural disasters and other fields. In order to improve the performance of High-G MEMS accelerometers, a denoising method based on the combination of empirical mode decomposition (EMD) and wavelet threshold is proposed. Firstly, EMD decomposition is performed on the output of the main accelerometer to obtain the intrinsic mode function (IMF). Then, the continuous mean square error rule is used to find energy cut-off point, and then the corresponding high frequency IMF component is denoised by wavelet threshold. Finally, the processed high-frequency IMF component is superposed with the low-frequency IMF component, and the reconstructed signal is denoised signal. Experimental results show that this method integrates the advantages of EMD and wavelet threshold and can retain useful signals to the maximum extent. The impact peak and vibration characteristics are 0.003% and 0.135% of the original signal, respectively, and it reduces the noise of the original signal by 96%.

The Impact of Lexical Characteristics and Noise on Intelligibility of Parkinsonian Speech

2018 ◽  
Vol 61 (4) ◽  
pp. 837-846 ◽  
Author(s):  
Yi-Fang Chiu ◽  
Karen Forrest
Keyword(s):  
High Frequency ◽  
Low Frequency ◽  
Neighborhood Density ◽  
Noisy Environment ◽  
Noise Condition ◽  
Lexical Categories ◽  
Healthy Control ◽  
Listening In Noise ◽  
The Impact ◽  
Detrimental Impact

Purpose This study investigated the impact of lexical characteristics on the intelligibility of speakers with Parkinson's disease (PD). Intelligibility was compared for listening in a quiet versus a noisy environment. Method A total of 192 young listeners participated in the study, with 96 listeners listening in quiet and 96 listening in noise in which the spoken sentences were mixed with 10-talker babble. The listeners transcribed spoken sentences with target words controlled for word frequency and neighborhood density. The sentences were produced by 12 speakers with PD and 12 healthy control (HC) speakers. Transcription accuracy was compared across lexical categories between PD and HC and between the two listening conditions. Results Transcription accuracy was higher for high-frequency words than low-frequency words for both speaker groups in quiet and in noise. The neighborhood density effect was evident only in the noise condition with better intelligibility for words from sparse neighborhoods than from dense neighborhoods. Regardless of listening condition, the PD group was less intelligible with a significant decrease in intelligibility in noise relative to quiet. Conclusions The lexical properties of the words affected listeners' understanding of Parkinsonian speech. Frequent words in sparse neighborhood enhanced intelligibility, especially under adverse listening conditions. Babble noise had a detrimental impact on the intelligibility of Parkinsonian speech. The extent of the lexical effect on intelligibility increased in noise.

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