A Cognitively Grounded Measure of Pronunciation Distance

A Cognitively Grounded Measure of Pronunciation Distance

In this study we develop pronunciation distances based on naive discriminative learning (NDL). Measures of pronunciation distance are used in several subfields of linguistics, including psycholinguistics, dialectology and typology. In contrast to the commonly used Levenshtein algorithm, NDL is grounded in cognitive theory of competitive reinforcement learning and is able to generate asymmetrica...

A cognitively grounded measure of pronunciation distance 1

10 In this study we develop pronunciation distances based on naive discriminative learning (NDL). 11 Measures of pronunciation distance are used in several subfields of linguistics, including 12 psycholinguistics, dialectology and typology. In contrast to the commonly used Levenshtein algorithm, 13 NDL is grounded in cognitive theory of competitive reinforcement learning and is able to generate...

Revision of a fuzzy distance measure

Cognitively-Grounded Procedural Content Generation

Procedural content generators overly focused on numeric variations of content suffer from what we term the Kaleidoscope Effect: because we readily grasp the potential of the generative space, it is not interesting. In this position paper, we argue that the future of procedural content generation will be limited by this effect. We therefore propose a shift toward cognitively-grounded procedural ...

Some properties of a new fuzzy distance measure