A Web Based Platform for Sign Language Corpus Creation

This paper presents the design and implementation issues of a tool for the annotation of sign language based on speech recognition. It is at his first version of stable development and it was designed within the Automatic Translation into Sign Languages (ATLAS) project. The tool can be used to gather data from the language for corpus creation and stores information in a Multilanguage Multimedia Archive. The objective is to create a corpus of Italian Sign Language for supporting an automatic translation system that visualizes signs by means of a virtual character. The tool allows the user to search for media content related to signs and stores metadata about the translation and annotation processes.