The present project endeavors to enrich the linguistic resources available for Italian by introducing KIParla Forest, a treebank for the KIParla corpus - an existing and well-known resource for spoken Italian. This article contextualizes the project, describes the treebank creation process and design choices, and highlights future plans for next improvements.

The paper presents a pilot exploration of the construction, management and analysis of a multimodal corpus. Through athree-layer annotation that provides orthographic, prosodic, and gestural transcriptions, the gest-IT resource allows oneto investigate the variation of gesture-making patterns in conversations between sighted people and people with visualimpairment. After discussing the transcription methods and technical procedures employed in our study, we will propose aunified CoNLL-U corpus and indicate our future steps.