Using queries to explore corpora is today routine practice not only among researchers in various fields with an empirical approach to discourse, but also among non-specialists who use search engines or con-cordancers for language learning purposes. While keyword-based queries are quite common , non-specialists are less likely to explore syntactic constructions. Syntax-based queries usually require the use of regular expressions with grammatical words combined with mor-phosyntactic tags, meaning that users need to master both the query language of the tool and the tagset of the annotated corpus. However , non-specialists such as language learners may prefer to focus on the output rather than spend time and efforts mastering a query language. To address this shortcoming, we propose a methodology including a syntactic parser and using common similarity measures to compare sequences of automatically produced morphosyntactic tags.