The linguistic model as defined in the Meaning Text Theory (MTT) is, first of all, a language production model. This makes MTT especially suitable for language engineering tasks related to synthesis: text generation, summarization, paraphrasing, speech generation, and the like. In this article, we focus on text generation. Large scale text generation requires substantial resources, namely grammars and lexica. While these resources are increasingly compiled for high density languages, for low- and middle density languages often no generation resources are available. The question on how to obtain them in a most efficient way becomes thus imminent. In this article, we address this question for MTT-oriented text generation resources.