| Literature DB >> 35284821 |
Abstract
The field of mental lexicon research has benefitted greatly from the founding metaphor of a dictionary in the mind. That metaphor, however, had its origins in a perspective in which the lexicon was seen as a static repository of representations with fixed structural properties. This paper presents a contrasting view. It is a view that highlights that words are activities that we perform, rather than simply representations that we have. It is proposed that lexical representations are best seen as hierarchies of action within a highly interconnected and dynamic system. The paper presents two principles of lexical organization: morphological transcendence and lexical superstates. The former principle claims that through the activities of language comprehension and production, lexical forms can develop variant forms. Thus, the form key may develop into forms such as key- (e.g., keyboard) and -key, (e.g., turnkey). The paper also discusses how transcendence leads to lexical superstates, which do not have a fixed morphological structure. As part of a lexical superstate, alternative morphological structures exist as potential realizations. Which one is actually realized will depend on the specific circumstances of a lexical action. An account is presented in which the effects of semantic transparency are treated in terms of transcendence and superstate interactions. It is claimed that this approach, which highlights the dynamic and flexible nature of the mental lexicon, has implications for how we approach the modeling of language and cognition in general.Entities:
Keywords: compounds; mental lexicon; morphological superstates; morphological transcendence; morphology; psycholinguistics
Year: 2022 PMID: 35284821 PMCID: PMC8905433 DOI: 10.3389/frai.2021.788430
Source DB: PubMed Journal: Front Artif Intell ISSN: 2624-8212
The Mental Lexicon topics represented as collections of most diagnostic words as reported in Kuperman et al. (2021).
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| mental, lexicon, model, research, cognit | express, health, social, | belief, feel, depress, |
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| prime, morpholog, | prime, root, mask, | prefix, prime-target, |
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| languag, speaker, english, bilingu, nativ | learner, bilingu, nativ, | efl, learner, foreign, |
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| word, frequenc, effect, lexic, recognit | frequenc, neighborhood, | deaf, neighborhood, |
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| process, lexic, activ, | left, patient, tempor, | lobe, gestur, magnet, |
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| children, group, read, age, studi | children, age, abil, skill, score | peer, dyslexia, year-old, dyslex, month |
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| speech, phonolog, word, represent, model | speech, phonet, syllabl, sound, phonem | tone, tonal, acoust, voic, syllabl |
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| form, verb, inflect, | irregular, regular, verb, inflect, plural | irregular, participl, |
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| word, compound, read, mean, chines | compound, chines, | colleg, compound, polysem, self-pac, chines |
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| noun, semant, categori, | gender, grammat, | bare, idiom, gender, |
The order of categories (1–10) is arbitrary.
Source: Adapted from Kuperman et al. (
Figure 1Change in topic prevalence since 1990 reported in Kuperman et al. (2021). The non-linear fit is shown in red, the linear fit in black (dotted lines mark the 95% confidence interval). The horizontal (green) dotted line shows the default 10% of the topic. That would be expected over 10 topics. Source: From Kuperman et al. (2021) (https://benjamins.com/catalog/z.238).
Figure 2Morphological transcendence creates a proliferation of lexical entities. The representations of key, board, and their combination in the compound keyboard.
Figure 3The compounds riverboard and riverboat, showing results of lexical splitting which is triggered by a left or right substring being an existing word in the mental lexicon. It is assumed that that there is no transcended constituent that could be represented as [–river].
Figure 4Ambiguous novel compounds. In each case, there are four possible lexical activations. The representations at the bottom indicate that participants are not constrained to produce well-formed parses but, rather, can create an interpretation from, for example, both clamp and peel (even though there is only one letter “p” in the input string).