Much of perception, learning and high-level cognition involves finding patterns in data. But
there are always infinitely many patterns compatible with any finite amount of data. How …

Probabilistic methods are providing new explanatory approaches to fundamental cognitive
science questions of how humans structure, process and acquire language. This review …

At a time of unprecedented expansion in the life sciences, evolution is the one theory that
transcends all of biology. Any observation of a living system must ultimately be interpreted in …

What are the units of text that we want to model? From bytes to multi-word expressions, text
can be analyzed and generated at many granularities. Until recently, most natural language …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Are morphological patterns learned in the form of rules? Some models deny this, attributing
all morphology to analogical mechanisms. The dual mechanism model (Pinker, S., & Prince …

Compared to traditional organizations, online community leadership processes and how
leaders emerge are not well studied. Previous studies of online leadership have often …

How do children acquire the meaning of words? And why are words such as know harder for
learners to acquire than words such as dog or jump? We suggest that the chief limiting factor …

Interested in how an efficient search engine works? Want to know what algorithms are used
to rank resulting documents in response to user requests? The authors answer these and …

Since the experiments of Saffran et al.[Saffran, J., Aslin, R., & Newport, E.(1996). Statistical
learning in 8-month-old infants. Science, 274, 1926–1928], there has been a great deal of …