Connectionism is an important theoretical framework for the study of human cognition and behavior. Also known as Parallel Distributed Processing (PDP) or Artificial Neural Networks (ANN), connectionism advocates that learning, representation, and processing of information in mind are parallel, distributed, and interactive in nature. It argues for the emergence of human cognition as the outcome of large networks of interactive processing units operating simultaneously. Inspired by findings from neural science and artificial intelligence, connectionism is a powerful computational tool, and it has had profound impact on many areas of research, including linguistics. Since the beginning of connectionism, many connectionist models have been developed to account for a wide range of important linguistic phenomena observed in monolingual research, such as speech perception, speech production, semantic representation, and early lexical development in children. Recently, the application of connectionism to bilingual research has also gathered momentum. Connectionist models are often precise in the specification of modeling parameters and flexible in the manipulation of relevant variables in the model to address relevant theoretical questions, therefore they can provide significant advantages in testing mechanisms underlying language processes.
Agustín Vicente and Ingrid L. Falkum
Polysemy is characterized as the phenomenon whereby a single word form is associated with two or several related senses. It is distinguished from monosemy, where one word form is associated with a single meaning, and homonymy, where a single word form is associated with two or several unrelated meanings. Although the distinctions between polysemy, monosemy, and homonymy may seem clear at an intuitive level, they have proven difficult to draw in practice.
Polysemy proliferates in natural language: Virtually every word is polysemous to some extent. Still, the phenomenon has been largely ignored in the mainstream linguistics literature and in related disciplines such as philosophy of language. However, polysemy is a topic of relevance to linguistic and philosophical debates regarding lexical meaning representation, compositional semantics, and the semantics–pragmatics divide.
Early accounts treated polysemy in terms of sense enumeration: each sense of a polysemous expression is represented individually in the lexicon, such that polysemy and homonymy were treated on a par. This approach has been strongly criticized on both theoretical and empirical grounds. Since at least the 1990s, most researchers converge on the hypothesis that the senses of at least many polysemous expressions derive from a single meaning representation, though the status of this representation is a matter of vivid debate: Are the lexical representations of polysemous expressions informationally poor and underspecified with respect to their different senses? Or do they have to be informationally rich in order to store and be able to generate all these polysemous senses?
Alternatively, senses might be computed from a literal, primary meaning via semantic or pragmatic mechanisms such as coercion, modulation or ad hoc concept construction (including metaphorical and metonymic extension), mechanisms that apparently play a role also in explaining how polysemy arises and is implicated in lexical semantic change.