Italy goes to Stanford: a collection of CoreNLP modules for Italian

TL;DR

This paper introduces Tint, a comprehensive suite of fast, accurate, and extendable NLP modules tailored for Italian, based on Stanford CoreNLP, available as standalone software or library integration.

Contribution

It provides the first extensive, user-friendly NLP toolkit for Italian built on Stanford CoreNLP, enhancing accessibility and performance for Italian language processing.

Findings

Tint offers high accuracy in Italian NLP tasks

The toolkit is easy to integrate and extend

It is freely available for the community

Abstract

In this we paper present Tint, an easy-to-use set of fast, accurate and extendable Natural Language Processing modules for Italian. It is based on Stanford CoreNLP and is freely available as a standalone software or a library that can be integrated in an existing project.