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Alignment of Phonetic Sequences

Alignment of phonetic sequences is a necessary step in many applications in computational phonology. In this paper, I critically evaluate several approaches to phonetic alignment that have been reported within the last few years. I then present a new algorithm that is geared towards the alignment of cognates. I show how the basic dynamic programming algorithm for sequence comparison can be modiied to deal with a range of phonological phenomena. For computing phonetic similarity, I propose a scoring scheme that is based on multivalued features. Finally, I provide a complete test set that demonstrates the new algorithm performs better on cognate alignment, in terms of accuracy and eeciency, than other algorithms reported in the literature.