This paper describes recent improvements of a Prosodic Analyzer, designed to provide the CSELT Italian text-to-speech system ELOQUENSa with a better handling of prosody. Based on lexical tagging, the Analyzer builds up the prosodic structure of the sentence, inserting proper prosodic markers at word boundaries. The approach belongs to the family of TTS-oriented, 'heuristic' strategies, inferring prosody directly from the building blocks of syntax and exploiting lexical and rhythmical language-dependent information. Latest improvements concern the linguistic knowledge base of the Analyzer, which has been enhanced and optimized. A formal evaluation of the Analyzer's performances is also presented in the paper.