Scholars have discovered that many of the methods of interpretation and analysis that are related to both quantitative and qualitative methods are processes that can be performed by computers. For example, computers can count. They can count brush strokes used in a Rembrandt painting or perform regression analysis for understanding cause and effect. By means of advanced technologies, computers can recognize patterns, analyze text, and model concepts. Furthermore, computers can complete these processes faster with more sources and with greater precision than scholars who must rely on manual interpretation of data. But if scholars are to use computers for these processes, source materials must be in a form amenable to computer-assisted analysis. For this reason many scholars, once they have identified the sources that are key to their research, are converting them to machine-readable form. Thus, a representative example of the numerous textual conversion projects organized by scholars around the world in recent years to support computational text analysis is the TLG, the Thesaurus Linguae Graecae. This project is devoted to converting the extant ancient texts of classical Greece. (Editor's note: according to the TLG Newsletter of May l992, TLG was in use in thirty-two different countries. This figure updates MICHELSON's previous count by one.) The scholars performing these conversions have been asked to recognize that the electronic sources they are converting for one use possess value for other research purposes as well. As a result, during the past few years, humanities scholars have initiated a number of projects to increase scholarly access to converted text. So, for example, the Text Encoding Initiative (TEI), about which more is said later in the program, was established as an effort by scholars to determine standard elements and methods for encoding machine-readable text for electronic exchange. In a second effort to facilitate the sharing of converted text, scholars have created a new institution, the Center for Electronic Texts in the Humanities (CETH). The center estimates that there are 8,000 series of source texts in the humanities that have been converted to machine-readable form worldwide. CETH is undertaking an international search for converted text in the humanities, compiling it into an electronic library, and preparing bibliographic descriptions of the sources for the Research Libraries Information Network's (RLIN) machine-readable data file. The library profession has begun to initiate large conversion projects as well, such as American Memory.