Paper: A Word-Order Database For Testing Computational Models Of Language Acquisition

ACL ID P03-1053
Title A Word-Order Database For Testing Computational Models Of Language Acquisition
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

An investment of effort over the last two years has begun to produce a wealth of data concerning computational psycholin- guistic models of syntax acquisition. The data is generated by running simulations on a recently completed database of word order patterns from over 3,000 abstract languages. This article presents the design of the database which contains sentence patterns, grammars and derivations that can be used to test acquisition models from widely divergent paradigms. The domain is generated from grammars that are lin- guistically motivated by current syntactic theory and the sentence patterns have been validated as psychologically/developmen- tally plausible by checking their frequency of occurrence in corpora of child-directed speech. A small case-study simulation is also presen...