The paper introduces Grammar-Preserving Text Saliency Modulation (GP-TSM), a novel text rendering technique designed to enhance reading and skimming efficiency. GP-TSM uses a recursive sentence compression method to identify and de-emphasize non-critical details in text, making important information more salient. The technique preserves the grammatical structure of the original text while allowing readers to focus on the core meaning. A preliminary user study (n=18) and a summative user study demonstrated that GP-TSM significantly improved reading comprehension and efficiency compared to existing text rendering methods. The technique is particularly effective in handling long, complex sentences and supports multiple levels of detail, enhancing the reading experience without disrupting the flow. The authors also discuss the design goals, process, and implementation of GP-TSM, highlighting its potential to address the challenges of reading and skimming in natural language documents.The paper introduces Grammar-Preserving Text Saliency Modulation (GP-TSM), a novel text rendering technique designed to enhance reading and skimming efficiency. GP-TSM uses a recursive sentence compression method to identify and de-emphasize non-critical details in text, making important information more salient. The technique preserves the grammatical structure of the original text while allowing readers to focus on the core meaning. A preliminary user study (n=18) and a summative user study demonstrated that GP-TSM significantly improved reading comprehension and efficiency compared to existing text rendering methods. The technique is particularly effective in handling long, complex sentences and supports multiple levels of detail, enhancing the reading experience without disrupting the flow. The authors also discuss the design goals, process, and implementation of GP-TSM, highlighting its potential to address the challenges of reading and skimming in natural language documents.