Much of the work on Perseus is focused on collecting and converting the data on which the project is based. At the same time, it is necessary to provide means of access to the information, in order to make it usable, and them to investigate how it is used. As we learn more about what students and scholars from different backgrounds do with Perseus, we can adjust our data collection, and also modify the system to accommodate them. In creating a delivery system for general use, we have tried to avoid favoring any one type of use by allowing multiple forms of access to and navigation through the system. The way text is handled exemplifies some of these principles. All text in Perseus is tagged using SGML, following the guidelines of the Text Encoding Initiative (TEI). This markup is used to index the text, and process it so that it can be imported into HyperCard. No SGML markup remains in the text that reaches the user, because currently it would be too expensive to create a system that acts on SGML in real time. However, the regularity provided by SGML is essential for verifying the content of the texts, and greatly speeds all the processing performed on them. The fact that the texts exist in SGML ensures that they will be relatively easy to port to different hardware and software, and so will outlast the current delivery platform. Finally, the SGML markup incorporates existing canonical reference systems (chapter, verse, line, etc.); indexing and navigation are based on these features. This ensures that the same canonical reference will always resolve to the same point within a text, and that all versions of our texts, regardless of delivery platform (even paper printouts) will function the same way. In order to provide tools for users, the text is processed by a morphological analyzer, and the results are stored in a database. Together with the index, the Greek-English Lexicon, and the index of all the English words in the definitions of the lexicon, the morphological analyses comprise a set of linguistic tools that allow users of all levels to work with the textual information, and to accomplish different tasks. For example, students who read no Greek may explore a concept as it appears in Greek texts by using the English-Greek index, and then looking up works in the texts and translations, or scholars may do detailed morphological studies of word use by using the morphological analyses of the texts. Because these tools were not designed for any one use, the same tools and the same data can be used by both students and scholars. NOTES: (5) Perseus is based at Harvard University, with collaborators at several other universities. The project has been funded primarily by the Annenberg/CPB Project, as well as by Harvard University, Apple Computer, and others. It is published by Yale University Press. Perseus runs on Macintosh computers, under the HyperCard program. Eric CALALUCA