This paper concerns the implementation and testing of similarity metrics for the alignment of phonetic segments in transcriptions of children's (mis)articulations with the adult model. This has an obvious application in the development of software to assist speech and language clinicians to assess clients and to plan therapy. This paper will give some of the background to this general problem, but will focus on the computational and linguistic aspect of the alignment problem.