Charting a Decade of Computational Linguistics in Italy: The CLiC-it Corpus

2025-09-23

AI Summary

This study systematically characterizes the evolution of computational linguistics (CL) and natural language processing (NLP) research in Italy from 2014 to 2023. To address the lack of longitudinal, metadata-rich resources for regional NLP analysis, we construct CLiC-it Corpus—the first open-source, decade-spanning corpus derived from all ten editions of the CLiC-it conference, enriched with granular metadata (e.g., author affiliations, gender, geographic location). We apply integrated methodologies including text mining, topic modeling (LDA, BERTopic), statistical analysis, and Transformer-based semantic representations (e.g., sentence embeddings). Key findings include a marked shift from early resource-centric work toward language modeling and multimodal NLP; increasing concentration of scholarly output among a few institutions; persistent geographic and gender imbalances; and clear thematic alignment with the global large language model (LLM) paradigm shift. The corpus and analytical framework provide a reproducible, temporal cartography of Italy’s NLP ecosystem, enabling evidence-based assessment of regional academic development.

Technology Category

• Natural Language Processing: Machine Translation, Multilinguality, Cross-Lingual NLP
• Machine Learning: Large Multimodal Models (LMMs)
• Application Domains: Humanities & Computational Social Science

Application Category

• Web Mining and Content Analysis: Mining multimedia, multimodal, multilingual, cross-lingual Web data
• Search and Retrieval-Augmented AI: Multilingual and cross-lingual Web search
• User Modeling, Personalization and Recommendation: Large Language Models (LLM) for user modeling and recommendation

Abstract

Over the past decade, Computational Linguistics (CL) and Natural Language Processing (NLP) have evolved rapidly, especially with the advent of Transformer-based Large Language Models (LLMs). This shift has transformed research goals and priorities, from Lexical and Semantic Resources to Language Modelling and Multimodality. In this study, we track the research trends of the Italian CL and NLP community through an analysis of the contributions to CLiC-it, arguably the leading Italian conference in the field. We compile the proceedings from the first 10 editions of the CLiC-it conference (from 2014 to 2024) into the CLiC-it Corpus, providing a comprehensive analysis of both its metadata, including author provenance, gender, affiliations, and more, as well as the content of the papers themselves, which address various topics. Our goal is to provide the Italian and international research communities with valuable insights into emerging trends and key developments over time, supporting informed decisions and future directions in the field.

Problem

• Tracking Italian CL/NLP research trends over a decade
• Analyzing metadata and content of CLiC-it conference papers
• Identifying emerging trends and key developments in Italian computational linguistics

Innovation

• Compiling conference proceedings into corpus
• Analyzing metadata and content comprehensively
• Tracking research trends over decade