![]() ![]() You would then add the tag "saints" to entries like Andrew, Michael, and Paul in the cit圓 file. Therefore, you might add the value "saints" next to the line for "Saint" in the city1 file. You wouldn't want a place name of "Saint Smith" to be generated, as that would be unrealistic. whatever the user wants to use to identify conceptually-similar values.įor instance, say you want to add "Saint" as a title prefix. Tags could be numbers, letters, or words. Use tags to group certain values together. ![]() Ideally, the user would be able to enter the frequency interger themselves, although hard-coding them roughly according to the examples listed above would probably be okay.ģ. Control the number of dataset combinations that are generated. (Quick sidenote here: Although the spacing format could justifiably be hard-coded, it might be better to allow spaces to be defined within the datasets instead.)Ģ. )Ĭity1 = Title prefix (Fort, Mount, New, Port, etc.)Ĭity2 = Descriptive prefix (Big, Cold, Green, Running, etc.)Ĭity5 = Conjunctive suffix (burg, field, ton, ville, etc.)Ĭity6 = Title suffix (City, Lake, Park, Village, etc.)Ĭity7 = Secondary title suffix (see "Title suffix") (Note: If there are any English teachers reading this, I confess that I don't remember the correct terms for the grammatical elements I'm using here, so I'm just gonna wing it. So here are my suggestions that I think will give us even better, more realistic-sounding place names. I think that's just a fundamental drawback to trying to conjoin parts of words into new ones. Unfortunately, many of the names that are being generated still sound rather contrived and unrealistic. if you make changes/additions to the data files, please, pass them back to me so I can add them in for the next version.īefore sending you my additions, I'd like to propose a few ideas I have.
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