Vietnamese compounds show an anti-frequency effect in visual lexical decision

Pham, Hien; Baayen, R. Harald

doi:10.1080/23273798.2015.1054844

Cited by 41 publications

(27 citation statements)

References 46 publications

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“…We believe that exploratory data analysis is of great importance for those domains of inquiry where explicit and mathematically precise theories are lacking. In these areas of inquiry, results of experiments can be completely opposite to what was expected, even though in hindsight, they may make perfect sense (see, e.g., the anti-frequency effect in Figure 5, for a computational model based on discriminative learning that captures this effect, see Pham and Baayen, 2015). 7 Importantly, in an exploratory setting, one can actually learn from the data, in a multivariate setting often in many dimensions simultaneously, instead of receiving only confirmation (or disconfirmation) of a single hypothesis.…”

Section: Exploratory Data Analysismentioning

confidence: 80%

“…are also available. By way of example, we consider lexical decision latencies for 15,021 Vietnamese compound words in a single-subject experiment reported in Pham and Baayen (2015). (The data for the analyses reported here and in subsequent sections are, unless specified otherwise, available in the RePsychLing package for R at https://github.com/dmbates/RePsychLing.)…”

Section: Multivariate Splinesmentioning

confidence: 99%

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The cave of shadows: Addressing the human factor with generalized additive mixed models

Baayen

Vasishth

Kliegl

et al. 2017

Journal of Memory and Language

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201

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Generalized additive mixed models are introduced as an extension of the generalized linear mixed model which makes it possible to deal with temporal autocorrelational structure in experimental data. This autocorrelational structure is likely to be a consequence of learning, fatigue, or the ebb and flow of attention within an experiment (the 'human factor'). Unlike molecules or plots of barley, subjects in psycholinguistic experiments are intelligent beings that depend for their survival on constant adaptation to their environment, including the environment of an experiment. Three data sets illustrate that the human factor may interact with predictors of interest, both factorial and metric. We also show that, especially within the framework of the generalized additive model, in the nonlinear world, fitting maximally complex models that take every possible contingency into account is ill-advised as a modeling strategy. Alternative modeling strategies are discussed for both confirmatory and exploratory data analysis.

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Section: Exploratory Data Analysismentioning

confidence: 80%

Section: Multivariate Splinesmentioning

confidence: 99%

The cave of shadows: Addressing the human factor with generalized additive mixed models

Baayen

Vasishth

Kliegl

et al. 2017

Journal of Memory and Language

Self Cite

207

201

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show abstract

“…However, the optimal grain size of form representations can sometimes still be language-dependent. Bigrams, for example, have proven more suitable for Vietnamese due to its more restricted phonotactic constraints (Pham and Baayen, 2015). For modeling with lower-level visual features, see Linke et al (2017).…”

Section: A Blueprint Of the Mental Lexicon Using Linear Discriminativmentioning

confidence: 99%

The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using Linear Discriminative Learning

Chuang¹,

Voller²,

Shafaei-Bajestan³

et al. 2020

Preprint

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Pseudowords have long served as key tools in psycholinguistic investigations of the lexicon. A common assumption underlying the use of pseudowords is that they are devoid of meaning: Comparing words and pseudowords may then shed light on how meaningful linguistic elements are processed differently from meaningless sound strings.However, pseudowords may in fact carry meaning. On the basis of a computational model of lexical processing, Linear Discriminative Learning (LDL Baayen et al., 2019), we compute numeric vectors representing the semantics of pseudowords. We demonstrate that quantitative measures gauging the semantic neighborhoods of pseudowords predict reaction times in the Massive Auditory Lexical Decision (MALD) database (Tucker et al., 2018). We also show that the model successfully predicts the acoustic durations of pseudowords. Importantly, model predictions hinge on the hypothesis that the mechanisms underlying speech production and comprehension interact. Thus, pseudowords emerge as an outstanding tool for gauging the resonance between production and comprehension.Many pseudowords in the MALD database contain inflectional suffixes. Unlike many contemporary models, LDL captures the semantic commonalities of forms sharing inflectional exponents without using the linguistic construct of morphemes. We discuss methodological and theoretical implications for models of lexical processing and morphological theory. The results of this study, complementing those on real words reported in Baayen et al. (2019), thus provide further evidence for the usefulness of LDL both as a cognitive model of the mental lexicon, and as a tool for generating new quantitative measures that are predictive for human lexical processing.

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“…Second, triphones encode information about partial order: evidence for the triphones han and and implies a directed path han → and. For languages with strong phonotactic constraints, diphones are expected to be more effective as sublexical units of form (Pham and Baayen, 2015). For a richly inflecting language such as Latin, it is conceivable that four-phone sequences are also effective sublexical units.…”

Section: Introductionmentioning

confidence: 99%

Inflectional morphology with linear mappings

2018

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This methodological study provides a step-by-step introduction to a computational implementation of word and paradigm morphology using linear mappings between vector spaces for form and meaning. Taking as starting point the linear regression model, the main concepts underlying linear mappings are introduced and illustrated with R code. It is then shown how vector spaces can be set up for Latin verb conjugations, using 672 inflected variants of two verbs each from the four main conjugation classes. It turns out that mappings from form to meaning (comprehension), and from meaning to form (production) can be carried out loss-free. This study concludes with a demonstration that when the graph of triphones, the units that underlie the form space, is mapped onto a 2-dimensional space with a self-organising algorithm from physics (graphopt), morphological functions show topological clustering, even though morphemic units do not play any role whatsoever in the model. It follows, first, that evidence for morphemes emerging from experimental studies using, for instance, fMRI, to localize morphemes in the brain, does not guarantee the existence of morphemes in the brain, and second, that potential topological organization of morphological form in the cortex may depend to a high degree on the morphological system of a language.

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Vietnamese compounds show an anti-frequency effect in visual lexical decision

Cited by 41 publications

References 46 publications

The cave of shadows: Addressing the human factor with generalized additive mixed models

The cave of shadows: Addressing the human factor with generalized additive mixed models

The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using Linear Discriminative Learning

Inflectional morphology with linear mappings

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