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Modeling word and morpheme order in natural language as an efficient trade-off of memory and surprisal.

Michael Hahn, Judith Degen, Richard Futrell

2021Psychological Review29 citationsDOI

Abstract

: When predictive information about an element is concentrated in its recent past. We provide empirical evidence from three test domains in support of the Efficient Trade-off Hypothesis: A reanalysis of a miniature artificial language learning experiment, a large-scale study of word order in corpora of 54 languages, and an analysis of morpheme order in two agglutinative languages. These results suggest that principles of order in natural language can be explained via highly generic cognitively motivated principles and lend support to efficiency-based models of the structure of human language. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Topics & Concepts

MorphemeWord orderNatural language processingComputer scienceNatural languageLinguisticsWord (group theory)Artificial intelligenceNatural (archaeology)PsychologyHistoryArchaeologyPhilosophyText Readability and SimplificationNatural Language Processing Techniques
Modeling word and morpheme order in natural language as an efficient trade-off of memory and surprisal. | Litcius