Strong expectations cancel locality effects: evidence from Hindi.
Samar Husain1, Shravan Vasishth2, Narayanan Srinivasan3
1Linguistics, University of Potsdam, Potsdam, Brandenburg, Germany.
Plos One
|July 11, 2014
Summary
Sentence processing involves expectations and memory. Strong expectations override memory limitations, while weak expectations allow memory effects to emerge during sentence comprehension.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Computational Linguistics
Background:
- Incremental sentence processing is influenced by expectation-driven facilitation and locality-driven retrieval difficulty.
- The interaction between expectation and memory during sentence processing remains unclear.
Purpose of the Study:
- To investigate the interplay between expectation strength and memory effects in sentence processing.
- To validate the prediction that dashed expectations increase processing time for rarer structures.
Main Methods:
- A Hindi self-paced reading study was conducted to examine processing difficulty.
- Two experiments manipulated expectation strength (specific verb vs. general part-of-speech) and verb delay.
Main Results:
- Dashed expectations led to longer processing times for rarer structures, supporting expectation-based accounts.
- Strong verb expectations facilitated processing even with delays, overriding locality effects.
- Weak expectations (part-of-speech only) showed a tendency towards locality effects when verbs were delayed.
Conclusions:
- Strong expectations effectively cancel out locality effects in sentence processing.
- Weak expectations permit locality effects to emerge, highlighting the nuanced interaction between expectation and memory.
Related Concept Videos
Language and Cognition
874
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
874
Cause and Effect
10.5K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.5K
Expected Frequencies in Goodness-of-Fit Tests
7.0K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n) to the number of categories (k).
7.0K
Lateralization
1.3K
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
1.3K
Difference from Background: Limit of Detection
8.8K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.8K
Determination of Expected Frequency
1.7K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
1.7K


