Using SALT: Considerations for the Analysis of Language Transcripts of Children Who Use SGDs

This paper exemplifies the process we used to customize the Systematic Analysis of Language Transcripts (SALT) software to monitor a wide range of language measures for children who use high-tech speech-generating devices (SGDs) when taking into consideration two main characteristics of aided communication: multimodality and co-constructed interaction structure. General considerations relevant to Language Sampling and Analysis (LSA) and examples of their applications are described in conversations between young aided speakers (child) and natural speakers (adult) and include the following stages: (a) eliciting and videotaping a representative sample of the child's language; (b) transcribing verbatim the language sample according to SALT conventions and modifications; and (c) analyzing the language sample with the common SALT commands and new variables (codes) measures. Our findings suggest that SALT software can be easily adapted and used as a tool for augmentative and alternative communication (AAC) evidence-based practice.