This Element introduces a usage-based computational approach to Construction Grammar that draws on techniques from natural language processing and unsupervised machine learning. The computational experiments are important for testing the learnability, variability, and confirmability of Construction Grammar as a theory of language.
Corpus analysis can be expanded and scaled up by incorporating computational methods from natural language processing. This Element shows how text classification and text similarity models can extend our ability to undertake corpus linguistics across very large corpora.
The most up-to-date and comprehensive source on North American bird identification, distribution, behavior, habitat, and conservation concerns available today.