The Cnr-Istituto di Linguistica Computazionale “Antonio Zampolli” (CNR-ILC) is one of the major leading research centers in the field of Computational Linguistics (LC).
The Institute is part of the Cnr-Dipartimento Scienze Umane e Sociali, Patrimonio Culturale.
CNR-ILC has been carrying out advanced research, training and technology transfer activities, together with a wide range of editorial activities.
Our mission of is to contribute to the scientific and technological development of strategic areas of Computational Linguistics through:
- a balanced combination of fundamental and applied research, focusing on their impact on society and its socio-economic and cultural development;
- collaboration with research institutes, universities, public bodies, small and medium enterprises (SMEs) and industries within international, European, national and regional scientific collaboration projects and agreements;
- training of students conducted through teaching activities at Italian and foreign universities and the involvement of PhD students, undergraduates and interns in ongoing research activities;
- technology transfer of developed language resources and technologies to SMEs and large national and multinational industries.
Macro-areas of research
The current macro-areas of research of CNR-ILC are:
- Digital Humanities
- Natural Language Processing and Knowledge Management
- Language Resources, Standards, and Research Infrastructure
- (Bio-)Computational Models of language usage
Since its foundation, CNR-ILC has focused its interests and activities on those research areas that lie at the historical “roots” of Computational Linguistics:
- Humanistic Text Processing (HTP), using computational methods and techniques to support humanistic research on texts, with a focus on Philology
- Natural Language Processing (NLP), aimed at the analysis of the linguistic structures underlying a text.
Since the late 1980s, the synergies between the two lines of activity gave rise to a line of research dedicated to the design and construction of language resources and infrastructures and the definition of representation standards shared by the scientific community.
More recently, a new line of research focused on the development of bio-computational models of language and cognition joined forces with these “historical” lines of activity.