We explore the interaction of two phonological factors that condition schwa–zero alternations inFrench: schwa is more likely after two consonants than a singleton; and schwa is more likely betweenstressed syllables than elsewhere. Using new data ...

The birthdate of both generative linguistics and neural networks can be taken as 1957, the year of the publication of foundational work by both Noam Chomsky and Frank Rosenblatt. This paper traces the development of ...

Much recent work has studied phonological typology in terms of formal language theory (e.g. the Chomsky hierarchy). This paper considers whether Optimality Theory grammars might be constrained to generate only regular languages, and also whether ...

Reduplicative linguistic patterns have been used as evidence for explicit algebraic variables in models of cognition. Here we show that a variable-free neural network can model these patterns in a way that predicts observed human ...

Natural language reduplication can pose a challenge to neural models of language, and has been argued to require variables (Marcus et al., 1999). Sequence-to-sequence neural networks have been shown to perform well at a number ...

Jardine (2016) claims that tonal phonology is more formally complex than the phonology of other segmental features, in that only tonal phonology goes beyond the class of Weakly Deterministic maps. He then goes on to ...

The number of exceptions to a phonological generalization appears to gradiently affect its productivity. Generalizations with relatively few exceptions are relatively productive, as measured in tendencies to regularization, as well as in nonce word productions ...

The experimental study of artificial language learning has become a widely used means of investigating the predictions of theories of phonology and of learning. Although much is now known about the generalizations that learners make ...

Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can ...

This paper describes a joint model of word segmentation and phonological alternations, which takes unsegmented utterances as input and infers word segmentations and underlying phonological representations. The model is a Maximum Entropy or log-linear model, ...

The distribution of the raised variants of the Canadian English diphthongs is standardly analyzed as opaque allophony, with derivationally ordered processes of diphthong raising and of /t/ flapping. This paper provides an alternative positional contrast ...

Across phonology and syntax, the typological probability of one structure being present in a linguistic system often depends on other related aspects of that system. For example, voiced [g] is more probable in a language ...

We show that a class of cases that has been previously studied in terms of learning of abstract phonological underlying representations (URs) can be handled by a learner that chooses URs from a contextually conditioned ...

The Dutch lexicon contains very few sequences of a long vowel followed by a consonant cluster, where the second member of the cluster is a non-coronal. We provide experimental evidence that Dutch speakers have implicit ...

This paper presents structurally biased phonology, a program of research that aims to formalize and better understand the role of structural complexity in phonological learning and typology. The paper situates the program with respect to ...

Artificial analogues of natural-language phonological patterns can often be learned in the lab from small amounts of training or exposure. The difficulty of a featurally-defined pattern has been hypothesized to be affected by two main ...

Artificial analogues of natural-language phonological patterns can often be learned in the lab from small amounts of training or exposure. The difficulty of a featurallydefined pattern has been hypothesized to be affected by two main ...

Harmonic Grammar (HG) is a model of linguistic constraint interactionin which well-formedness is calculated as the sum of weighted constraintviolations. We show how linear programming algorithms can be used to determinewhether there is a weighting ...

Harmonic Grammar (HG) and Optimality Theory (OT) are closely related formal frameworks for the study of language. In both, the structure of a given language is determined by the relative strengths of a set of ...

Gaskell and Marslen-Wilson (1996) use data from cross-modal priming to show that word recognition involves phonological inference: listeners more readily recognize a word that is changed from its canonical form if that change is conditioned ...