Paper: Does Korean defeat phonotactic word segmentation?

ACL ID P13-2151
Title Does Korean defeat phonotactic word segmentation?
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Computational models of infant word segmentation have not been tested on a wide range of languages. This paper ap- plies a phonotactic segmentation model to Korean. In contrast to the underseg- mentation pattern previously found in English and Russian, the model exhibited more oversegmentation errors and more errors overall. Despite the high error rate, analysis suggested that lexical acquisition might not be problematic, provided that infants attend only to frequently seg- mented items.