Search results for "artificial grammar"
showing 9 items of 9 documents
The use of control groups in artificial grammar learning.
2003
Experimenters assume that participants of an experimental group have learned an artificial grammar if they classify test items with significantly higher accuracy than does a control group without training. The validity of such a comparison, however, depends on an additivity assumption: Learning is superimposed on the action of non-specific variables—for example, repetitions of letters, which modulate the performance of the experimental group and the control group to the same extent. In two experiments we were able to show that this additivity assumption does not hold. Grammaticality classifications in control groups without training (Experiments 1 and 2) depended on non-specific features. T…
The formation of structurally relevant units in artificial grammar learning
2002
A total of 78 adult participants were asked to read a sample of strings generated by a finite state grammar and, immediately after reading each string, to mark the natural segmentation positions with a slash bar. They repeated the same task after a phase of familiarization with the material, which consisted, depending on the group involved, of learning items by rote, performing a short term matching task, or searching for the rules of the grammar. Participants formed the same number of cognitive units before and after the training phase, thus indicating that they did not tend to form increasingly large units. However, the number of different units reliably decreased, whatever the task that…
Why Untrained Control Groups Provide Invalid Baselines: A Reply to Dienes and Altmann
2003
Dienes and Altmann argue that an untrained control group provides a reliable baseline to measure artificial grammar learning. In this reply, we first provide a fictitious example to demonstrate that this assessment is faulty. We then analyse why this assessment is wrong, and we reiterate the solution proposed in Reber and Perruchet (this issue) for a proper control. Finally, we point out the importance of these methodological principles in the context of implicit learning studies. In their comment, Dienes and Altmann (this issue) raise two main concerns. First, they argue that any difference in classification between an experimental group and an untrained control group reflects the fact tha…
Implicit learning, development, and education
2010
International audience; The present chapter focuses on implicit learning processes, and aims at showing that these processes could be used to design new methods of education or reeducation. After a brief definition of what we intend by implicit learning, we will show that these processes operate efficiently in development, from infancy to aging. Then, we will discuss the question of their resistance to neurological or psychiatric diseases. Finally, in a last section, we will comment on their potential use within an applied perspective.
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science
2019
Abstract There is a rich tradition of building computational models in cognitive science, but modeling, theoretical, and experimental research are not as tightly integrated as they could be. In this paper, we show that computational techniques—even simple ones that are straightforward to use—can greatly facilitate designing, implementing, and analyzing experiments, and generally help lift research to a new level. We focus on the domain of artificial grammar learning, and we give five concrete examples in this domain for (a) formalizing and clarifying theories, (b) generating stimuli, (c) visualization, (d) model selection, and (e) exploring the hypothesis space.
Learning implicitly to produce avoided behaviours
2011
The literature on repetition processing reveals an intriguing paradox between the particular salience of repetitions, which makes them easy to learn, and a tendency to avoid them when generating sequences. The aim of this experiment was to study the extent to which children can learn to produce these avoided behaviours by means of an artificial grammar paradigm using generation tests with implicit or explicit instructions. The analysis of the control group's performance confirmed the presence of a spontaneous tendency to avoid generating repetitions. A comparison with chance revealed that the children learned to produce repetitions in the explicit test but not in the implicit test. However…
Domain-general neural correlates of dependency formation: Using complex tones to simulate language
2015
There is an ongoing debate whether the P600 event-related potential component following syntactic anomalies reflects syntactic processes per se, or if it is an instance of the P300, a domain-general ERP component associated with attention and cognitive reorientation. A direct comparison of both components is challenging because of the huge discrepancy in experimental designs and stimulus choice between language and ‘classic’ P300 experiments. In the present study, we develop a new approach to mimic the interplay of sequential position as well as categorical and relational information in natural language syntax (word category and agreement) in a non-linguistic target detection paradigm using…
Understanding developmental language disorder-The Helsinki longitudinal SLI study (HelSLI): A study protocol
2018
Background Developmental language disorder (DLD, also called specific language impairment, SLI) is a common developmental disorder comprising the largest disability group in pre-school-aged children. Approximately 7% of the population is expected to have developmental language difficulties. However, the specific etiological factors leading to DLD are not yet known and even the typical linguistic features appear to vary by language. We present here a project that investigates DLD at multiple levels of analysis and aims to make the reliable prediction and early identification of the difficulties possible. Following the multiple deficit model of developmental disorders, we investigate the DLD …
Tacit tonality - Implicit learning of context-free harmonic structure
2009
Musical knowledge, like native language knowledge, is largely implicit, being represented without awareness of its complex structures and incidentally acquired through interaction with a large number of samples. Two experiments explore implicit learning of hierarchical harmonic structures of different complexity employing an artificial grammar learning paradigm. The experiments consisted of an incidental learning phase using a distraction task, and a testing phase employing the process dissociation procedure paradigm (Jacoby, 1991). Participants performed significantly above chance and recognised adjacent and long-distance dependencies in both experiments. Confidence ratings and inclusion/e…