Syntactic parsing is a major area of NLP which has been widely studied with the help of many approaches. Usually, parsers take in input tagged texts, that is to say texts whose lexical units have been annotated with informations such as lemma, grammatical code, gender and number. In this paper, we present a parsing method that can work on untagged texts as well as on tagged ones. We then compare results obtained on specialized texts in their raw and tagged version in order to determine if tagging is absolutely necessary.