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ANNABELL is a cognitive architecture, entirely based on a large-scale neural network, which models the neural processes that underpin early language development. The system is able of learning natural language starting from tabula rasa, only by communicating with a human through a text-based interface. The global organization of the system is based on a multicomponent working memory model. At the lowest level, the system is entirely composed by interconnected artificial neurons. The learnable connections among the neurons are updated by a discrete version of the Hebbian learning rule. The system was tested on a database of 1587 input sentences, and produced 521 output sentences. A description of the model and of the database used for its validation is provided in Ref. 1. A detailed description of the neural architecture is provided in the technical document of Ref. 2. This document provides instruction for downloading, installing and using the software package. As is true for all non-trivial software, ANNABELL is not free of bugs. We try and fix bugs in every released version. In order to do this, we would like to ask all users to send us their bugreports, which should consist of the input-files that provoke the bug. Send reports to golosio@uniss.it. ANNABELL is released under the terms of the [GPLv3](http://www.gnu.org/copyleft/gpl. html).

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Table of contents

• Installation instructions
• User guide
• References