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in isolation from relations with other semantically related words in the same lexicon. Subsequent decades of research have confirmed that words do tend to exhibit strong semantic associations with words in the same semantic domain. This can be effectively demonstrated when two different words have the same phonology or spelling.
Sep 1, 2019 · This chapter provides an introduction to some of the main themes in lexical semantic research, including the nature of the mental lexicon, lexical relations, and the decomposition of words...
Recent research has shown that lexical associations are strongly predicted by the similarity of those words in terms of valence, arousal, and concreteness ratings.
Dec 1, 2020 · We find that word associations at four degrees of separation increase the similarity assigned by the model to English words that share part-of-speech or syntactic type. Word associations at four degrees of separation also improve the ability of the model to construct grammatical English sentences.
- M.A. Kelly, M.A. Kelly, Moojan Ghafurian, Moojan Ghafurian, Robert L. West, David Reitter, David Rei...
- 2020
Assumed to reflect the strongest connections in the mental lexicon’s network structure (e.g., Schmitt, 1998), word associations provide us with valuable information on both the networks in which specific words reside and the organization of individual language users’ semantic knowledge.
- Tessa Spätgens, Rob Schoonen
- 2020
Nov 27, 2018 · In two studies we compare a distributional semantic model derived from word co-occurrences and a word association based model in their ability to predict properties that affect lexical processing.
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Sep 17, 2018 · The processes tapped by the widely-used word association (WA) paradigm remain a matter of debate: while some authors consider them as driven by lexical co-occurrences, others emphasize the role of meaning-based connections.
