Annabell, a cognitive system able to learn different languages

Ioanna Giorgi, Bruno Golosio, Angelo Cangelosi, Giovanni Masala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

ANNABELL is a cognitive system entirely based on a large-scale neural architecture capable of learning to communicate through natural language starting from a tabula rasa condition. In order to shed light on the level of cognitive development required for language acquisition, in this work the model is used to study the acquisition of a new language, namely Albanian, in addition to English. The aim is to evaluate in a completely different and more complex language the ability of the model to acquire new information through several examples introduced in the new language and to process the acquired information, answering questions that require the use of different language patterns. The results show that the system is capable of learning cumulatively in either language and to develop a broad range of language processing functionalities in both languages.
Original languageEnglish
Title of host publicationNew Trends in Intelligent Software Methodologies, Tools and Techniques
EditorsHamido Fujita, Enrique Herrera-Viedna
PublisherIOS Press
Number of pages12
Volume303
ISBN (Electronic)978-1-61499-900-3
ISBN (Print)978-1-61499-899-0
DOIs
Publication statusPublished - 28 Sept 2018
EventInternational Conference on Intelligent Software Methodologies, Tools, and Techniques - Granada, Spain
Duration: 26 Sept 201828 Sept 2018
Conference number: 17
http://secaba.ugr.es/SOMET2018/

Conference

ConferenceInternational Conference on Intelligent Software Methodologies, Tools, and Techniques
Abbreviated titleSOMET 18
Country/TerritorySpain
CityGranada
Period26/09/1828/09/18
Internet address

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  • Best Paper Award (SOMET18)

    Giorgi, Ioanna (Recipient), 27 Sept 2018

    Prize: Prize (including medals and awards)

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