Connectionist psycholinguistics is an emerging approach to modeling empirical data on
human language processing using connectionist computational architectures. For almost 20 …

This Special Issue on Connectionist Models of Human Language Processing provides an
opportunity for an appraisal both of specific connectionist models and of the status and utility …

Setting forth the state of the art, leading researchers present a survey on the fast-developing
field of Connectionist Psycholinguistics: using connectionist or neural networks, which are …

Connection science is a new information-processing paradigm which attempts to imitate the
architecture and process of the brain, and brings together researchers from disciplines as …

Computational psycholinguistics is concerned with the development of computational
models of the cognitive mechanisms and representations that underlie language processing …

The field of formal linguistics was founded on the premise that language is mentally
represented as a deterministic symbolic grammar. While this approach has captured many …

Originally published in 1992, when connectionist natural language processing (CNLP) was
a new and burgeoning research area, this book represented a timely assessment of the …

We pose the development of cognitively plausible models of human language processing as
a challenge for computational linguistics. Existing models can only deal with isolated …

Most words in English have more than one syllable, yet the most influential computational
models of reading aloud are restricted to processing monosyllabic words. Here, we present …

Connectionist models have had a profound impact on theories of language. While most
early models were inspired by the classic parallel distributed processing architecture, recent …