Computational Constraints on Syntactic Processing in a Nonhuman Primate
Harvard University · University of St Andrews
Abstract
The capacity to generate a limitless range of meaningful expressions from a finite set of elements differentiates human language from other animal communication systems. Rule systems capable of generating an infinite set of outputs ("grammars") vary in generative power. The weakest possess only local organizational principles, with regularities limited to neighboring units. We used a familiarization/discrimination paradigm to demonstrate that monkeys can spontaneously master such grammars. However, human language entails more sophisticated grammars, incorporating hierarchical structure. Monkeys tested with the same methods, syllables, and sequence lengths were unable to master a grammar at this higher, "phrase…
Citation impact
- FWCI
- 408.17
- Percentile
- 100%
- References
- 24
Authors
2Topics & keywords
- Rule-based machine translation
- Generative grammar
- Computer science
- Set (abstract data type)
- Natural language processing
- Grammar
- Artificial intelligence
- Human language
- Reduced inequalities