During word learning, many words are associated with many meanings to build a lexicon. A model by McMurray et al. (2012) suggests that vocabulary acquisition may not only depend on building correct associations, but also pruning incorrect ones. Additional evidence for the importance of pruning comes from a word learning analog in pigeons, where the opportunity for pruning incorrect associations between objects and symbols was manipulated during training (Roembke et al., 2016). To investigate pruning in humans, we conducted six supervised word learning experiments. Participants were first trained to link two objects to each word, and subsequently were tested how quickly these were pruned. Across experiments, association strength was measured by using either eye movements to to-be pruned objects, or a post-training accuracy assessment. Learners showed rapid—though potentially not complete—pruning of incorrect associations, but this depended on whether the symbols were auditory words, orthographic words or non-linguistic symbols. Thus, this dissertation provides first evidence that pruning is operative during word learning. We also examined how newly learned words compete against known words for recognition using eye-tracking and found that despite very high accuracy these words were not strong competitors.
Forget me, forget me not: unlearning incorrect associations in word learning
Abstract
Details
- Title: Subtitle
- Forget me, forget me not: unlearning incorrect associations in word learning
- Creators
- Tanja Charlotte Roembke - University of Iowa
- Contributors
- Bob McMurray (Advisor)Eliot Hazeltine (Committee Member)Deborah Reed (Committee Member)Edward Wasserman (Committee Member)Susan W. Cook (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Psychology
- Date degree season
- Spring 2019
- DOI
- 10.17077/etd.g1hx-m71f
- Publisher
- University of Iowa
- Number of pages
- xvi, 197 pages
- Copyright
- Copyright © 2019 Tanja Charlotte Roembke
- Language
- English
- Date submitted
- 11/06/2019
- Description illustrations
- illustrations
- Description bibliographic
- Includes bibliographical references (pages 186-197).
- Public Abstract (ETD)
People are estimated to acquire tens of thousands of words by the time they reach adulthood. To do this, they have to form associations between words and objects to build a vocabulary. Data from an animal model of word learning as well as data from computational modeling suggest that people not only strengthen associations between words and objects but also prune incorrect associations. This means that people learn not only that the word “ball” maps onto the object “ball” but also that the word “ball” does not map onto the objects “ball” or “apple”.
As there currently is no behavioral evidence for such pruning in humans, I conducted six experiments in adults in my dissertation. In all experiments, participants were first trained to link two objects to each word, so that each word was associated with two meanings. Subsequently, they learned that each word only mapped onto one object. However, during training, the amount of experience with objects that were available as choices was manipulated, offering the possibility to prune some incorrect associations but not others. Throughout training, participants received feedback as to whether they selected the target object. I measured association strength between words and objects using eye-movements, a post-training accuracy assessment and a yes/no task. Across experiments, I manipulated whether symbols were auditory words, orthographic words or non-linguistic symbols.
Participants showed rapid pruning of incorrect associations, and this process was accelerated when words were auditory. Thus, speed of pruning may be related to ease of acquiring the mappings. Moreover, there was evidence that small associations between symbols and objects remained, and that they could influence subsequent word learning.
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9983777061202771