A Multilingual Chatbot for Migrants: Concept and Implementation

Migration is one of the main societal challenges faced by many countries in the European Union (EU). Thus, efficient and transparent processes to achieve the swift registration, health support, and social integration of Third Country Nationals (TCNs) is imperative. Although governments usually provide essential information through various official websites, these resources often lack multilingual accessibility. In some cases, critical content is available in the hosting country’s native language. This language barrier can prevent migrants from accessing important information about public services, migration policies, and asylum procedures. This paper presents the development framework for the SALLY chatbot, designed to address some of these challenges by leveraging advancements in generative AI. The proposed solution integrates state-of-the-art technologies in Large Language Models, Dialogue Management, Knowledge Graphs, and Information Retrieval to facilitate personalized,multilingual interactions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-26
DOI
https://doi.org/10.5281/zenodo.15516575
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

A Multilingual Chatbot for Migrants: Concept and Implementation

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

A Multilingual Chatbot for Migrants: Concept and Implementation

article en

Abstract

Migration is one of the main societal challenges faced by many countries in the European Union (EU). Thus, efficient and transparent processes to achieve the swift registration, health support, and social integration of Third Country Nationals (TCNs) is imperative. Although governments usually provide essential information through various official websites, these resources often lack multilingual accessibility. In some cases, critical content is available in the hosting country’s native language. This language barrier can prevent migrants from accessing important information about public services, migration policies, and asylum procedures. This paper presents the development framework for the SALLY chatbot, designed to address some of these challenges by leveraging advancements in generative AI. The proposed solution integrates state-of-the-art technologies in Large Language Models, Dialogue Management, Knowledge Graphs, and Information Retrieval to facilitate personalized,multilingual interactions.

Zenodo (CERN European Organization for Nuclear Research)
Aristotle University of Thessaloniki (GR), Centre for Research and Technology Hellas (GR)
Reduced inequalities
Openalex Percentile: Top 77%
AI in Service Interactions
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