Results 271 to 280 of about 3,070,369 (321)

Lexical dynamics for low-frequency complex words

The Mental Lexicon, 2007
In this study we examine the word recognition process for low-frequency morphologically complex words. One goal of the study was to replicate and expand upon findings suggesting facilitative effects of morphological relatives of a target word. A second goal was to demonstrate the need for a reinterpretation of root and surface frequency effects, which ...
R. H. Baayen, Lee H. Wurm, Joanna Aycock
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A model for estimating the occurrence of same-frequency words and the boundary between high- and low-frequency words in texts

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, Debora Shaw, Charles H. Davis   +2 more
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Event-Related Potentials and Recognition Memory for Low- and High-Frequency Words

Journal of Cognitive Neuroscience, 1992
Abstract Event-related potentials (ERPs) were recorded while subjects made recognition judgments on high- and low-frequency words, half of which had previously been presented in an incidental study task. Compared to high-frequency items, low-frequency words were associated with superior recognition performance, and attracted a higher ...
M D, Rugg, M C, Doyle
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Event-related potentials and the recollection of low and high frequency words

Neuropsychologia, 1995
A recognition memory test was conducted in which low and high frequency words were initially presented in one of two different study tasks. A word was defined as recollected if, at test, it was both confidently judged 'old', and confidently assigned to its correct study context.
M D, Rugg, C J, Cox, M C, Doyle, T, Wells   +3 more
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Frequency-Importance Functions for Words in High- and Low-Context Sentences

Journal of Speech, Language, and Hearing Research, 1992
The 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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Low Frequency Words, Genre, Date, and Authorship

Notes and Queries, 2006
T. Merriam
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Similarity Computation of Low-frequency Chinese Words

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
This paper proposes a novel method on Chinese low-frequency word similarity computation. It adopts a combinational strategy to compute word similarity, which exploits dictionary Hownet and constructed corpus retrieved from Internet. It has 3 steps: (1) If both of two words exist in Hownet, the similarity between them is computed based on Hownet. (2) If
Xinghua Fan, Ji Chen
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The Importance of Extended High-Frequency Speech Information in the Recognition of Digits, Words, and Sentences in Quiet and Noise

Ear and Hearing, 2021
Objectives: In pure-tone audiometry, hearing thresholds are typically measured up to 8 kHz. Recent research has shown that extended high-frequency (EHF; frequencies >8 kHz) speech information improves speech recognition.
S. Polspoel, S. Kramer, Bas van Dijk, C. Smits   +3 more
semanticscholar   +1 more source

Improving Word Embeddings for Low Frequency Words by Pseudo Contexts

2017
This paper investigates relations between word semantic density and word frequency. A distributed representations based word average similarity is defined as the measure of word semantic density. We find that the average similarities of low frequency words are always bigger than that of high frequency words, when the frequency approaches to 400 around,
Fang Li, Xiaojie Wang
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Low-frequency word enhancement with similar pairs in speech recognition

2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015
In practical automatic speech recognition (ASR) systems, it is difficult to recognize words that are with low-frequency in the language model (LM) training data. Ironically, these words tend to be highly important as they are often domain-specific name entities.
Xi Ma, Xiaoxi Wang, Dong Wang
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