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Frequency and neighborhood effects on lexical access: Lexical similarity or orthographic redundancy?
Journal of Experimental Psychology: Learning, Memory, and Cognition, 1992Five experiments investigated the effects of word frequency, neighborhood size, and bigram frequency on lexical decision and word-naming ...
S. Andrews
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Using Embedding-Based Similarities to Improve Lexical Resources
Lobachevskii Journal of Mathematics, 2021In this paper we discuss the usefulness of applying semi-automatic checking procedures to existing thesauri for natural language processing—large manually-created lexical-semantic resources. The procedure is based on computation of word vector representations and word semantic similarities on large text collections.
N. V. Loukachevitch +2 more
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Lexical similarity and speech production: Neighborhoods for nonwords
Lingua, 2012Abstract Lexical similarity has been shown to play a role in speech production (as in speech perception). In production, words with many phonologically similar neighbors, i.e., those that are phonologically similar to a large number of other words, are produced with more hyperarticulated vowels than words with fewer neighbors ( Wright, 1997 , Munson
Rebecca Scarborough
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Directional distributional similarity for lexical inference
Natural Language Engineering, 2010AbstractDistributional word similarity is most commonly perceived as a symmetric relation. Yet, directional relations are abundant in lexical semantics and in many Natural Language Processing (NLP) settings that require lexical inference, making symmetric similarity measures less suitable for their identification.
LILI KOTLERMAN +3 more
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Quranic Concepts Similarity Based on Lexical Database
2018 6th International Conference on Information and Communication Technology (ICoICT), 2018We conducted a semantic similarity study of semantic concepts in the context of the Holy Book Quran. Semantic similarity examines the degree of likeness and shared common properties of two concepts. For example, the Quranic concept of Allah and God will result in a high score of semantic similarity, whereas hell and paradise will yield in a low score ...
Dony Arisandy Wiranata +2 more
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Perceptual similarity co-existing with lexical dissimilarity
The Journal of the Acoustical Society of America, 2003The extreme case of perceptual similarity is indiscriminability, as when two second-language phonemes map to a single native category. An example is the English had-head vowel contrast for Dutch listeners; Dutch has just one such central vowel, transcribed [E].
Weber, Andrea, Cutler, Anne
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Yukian-Siouan Lexical Similarities
International Journal of American Linguistics, 19630. The small Yukian linguistic family of California comprises four languages in two divisions, one consisting of Wappo which is territorially separated from the remaining division (Yuki, Coast Yuki, Huchnom).2 Since Powell's 1891 classification3 Yukian has been recognized as a distinct group without clear external relationships. In 1906 Kroeber pointed
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Interpretable Semantic Textual Similarity Using Lexical and Cosine Similarity
2018Transforming information in a digital way modifies the people views and their daily functioning. Social media is a key platform where people express their views regarding any event and it also plays an important role in daily activities. Digital marketing is an example of such digital transformation of information.
Goutam Majumder +2 more
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Talker voice and similarity affect lexical neighborhoods
The Journal of the Acoustical Society of America, 2000Words that are similar to a syllable can influence listeners perception of phonemes in the syllable. Known as the lexical neighborhood effect, this has been shown to be robust, but vary in magnitude across talkers. In previous studies [L. Zimack and J. Sawusch, J. Acoust. Soc. Am. 107, 2918 (2000)], series of nonword syllables were tested in two voices.
Liza K. Zimack +4 more
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Do Magnitude Estimation and Lexical Decision Tap Similar Processes?
Perceptual and Motor Skills, 1998Young adults ( n = 54 for Exp. 1, n = 50 for Exp. 2) and elderly adults (the same n = 40 in each experiment) participated in studies that required nonspeeded magnitude estimation scaling in response to words that varied in frequency and number of meanings.
F R, Ferraro +5 more
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