bounds of private research, though exporting tag files from a CD-ROM could serve just as well. Since no one on the board could possibly anticipate each and every way in which a scholar might choose to mine this data bank, it was decided to satisfy the basics and make some provisions for what might come. 4) Not to encode the database would rob it of the interchangeability and portability these important texts should accommodate. For CALALUCA, the extensive options presented by full-text searching require care in text selection and strongly support encoding of data to facilitate the widest possible search strategies. Better software can always be created, but summoning the resources, the people, and the energy to reconvert the text is another matter. PLD is being encoded, captured, and distributed, because to Chadwyck-Healey and the board it offers the widest possible array of future research applications that can be seen today. CALALUCA concluded by urging the encoding of all important text sources in whatever way seems most appropriate and durable at the time, without blanching at the thought that one's work may require emendation in the future. (Thus, Chadwyck-Healey produced a very large humanities text database before the final release of the TEI Guidelines.) ****** +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ DISCUSSION * Creating texts with markup advocated * Trends in encoding * The TEI and the issue of interchangeability of standards * A misconception concerning the TEI * Implications for an institution like LC in the event that a multiplicity of DTDs develops * Producing images as a first step towards possible conversion to full text through character recognition * The AAP tag sets as a common starting point and the need for caution * +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ HOCKEY prefaced the discussion that followed with several comments in favor of creating texts with markup and on trends in encoding. In the future, when many more texts are available for on-line searching, real problems in finding what is wanted will develop, if one is faced with millions of words of data. It therefore becomes important to consider putting markup in texts to help searchers home in on the actual things they wish to retrieve. Various approaches to refining retrieval methods toward this end include building on a computer version of a dictionary and letting the computer look up words in it to obtain more information about the semantic structure or semantic field of a word, its grammatical structure, and syntactic structure.