Paper: Lexicalized Phonotactic Word Segmentation

ACL ID P08-1016
Title Lexicalized Phonotactic Word Segmentation
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

This paper presents a new unsupervised algo- rithm (WordEnds) for inferring word bound- aries from transcribed adult conversations. Phone ngrams before and after observed pauses are used to bootstrap a simple dis- criminative model of boundary marking. This fast algorithm delivers high performance even on morphologically complex words in English and Arabic, and promising results on accurate phonetic transcriptions with extensive pronun- ciation variation. Expanding training data be- yond the traditional miniature datasets pushes performance numbers well above those previ- ously reported. This suggests that WordEnds is a viable model of child language acquisition and might be useful in speech understanding.