Short article: Is morphological decomposition limited to low-frequency words? [PDF]
On the basis of data from masked priming experiments, it has been argued that an automatic process of decomposition is applied to all morphologically structured stimuli, irrespective of their lexical characteristics (Rastle, Davis, & New, 2004). So far, this claim has been tested only with respect to low-frequency primes and nonword primes. This is
Samantha F. McCormick +2 more
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The clustering power of low frequency words in academic Webs [PDF]
AbstractThe value of low frequency words for subject‐based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises.
Liz Price, Mike Thelwall
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: This paper reports the results of a study that investigated the effectiveness of guessing as a word-solving strategy. Conducted to 32 non-native English language teacher trainees, this study disÂcovered that with a vocabulary size of 3526 word ...
Siusana Kweldju
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Pronunciation of low-frequency irregular words in estimating premorbid intelligence [PDF]
Edited by Kazuhito Yoshizaki and Hisao ...
Che Kan Leong, Jun Yamada
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The effects of sentence structure on the recall of low frequency words [PDF]
The recall of low frequency words presented in either sentence order or random order was found to interact with trials. The recall of words presented in sentence order was inferior on early trials but superior on later trials.
Walter L. Porter
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The low-frequency encoding disadvantage: Word frequency affects processing demands. [PDF]
Low-frequency words produce more hits and fewer false alarms than high-frequency words in a recognition task. The low-frequency hit rate advantage has sometimes been attributed to processes that operate during the recognition test (e.g., L. M. Reder et al., 2000).
Rachel A. Diana, Lynne M. Reder
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Retrieval of low-frequency words from mixed lists [PDF]
In two experiments Ss were presented either a list of high- or a list of low-frequency words (unmixed lists), or lists containing equal numbers of words from the two frequency levels (mixed lists). In recall there was a significant interaction between level of frequency and type of list: In unmixed lists high-frequency words were better recalled; in ...
Carl P. Duncan
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Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation [PDF]
Knowledge distillation (KD) is commonly used to construct synthetic data for training non-autoregressive translation (NAT) models. However, there exists a discrepancy on low-frequency words between the distilled and the original data, leading to more errors on predicting low-frequency words.
Liang Ding +5 more
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Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems [PDF]
The bag-of-words model is a standard representation of text for many linear classifier learners. In many problem domains, linear classifiers are preferred over more complex models due to their efficiency, robustness and interpretability, and the bag-of-words text representation can capture sufficient information for linear classifiers to make highly ...
Bradford Heap +4 more
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Word Choice Affects Social Judgments: Relational Messages Containing Low-Frequency Words Get Low Evaluations [PDF]
Prior research found a word complexity effect: Authors who use complex words are less favorably received when writing academic essays, business letters, and other relatively formal communications. The present study tested if word choice affects evaluations of messages between friends (Experiments 1-2) and spoken messages (Experiment 2).
Michael W. Alban
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