The 21th International Conference on Linguistic Resources
and Tools for Natural Language Processing – ConsILR-2026 –
11th-13th November 2026
Galati, Romania and ONLINE
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The ConsILR Series
The ConsILR conference series began in 2001 as a result of a scientific collaboration between Iași, Bucharest, and Chișinău, focused on Romanian Language Processing. Over time, it has grown into a broader community of researchers from various linguistic backgrounds, bringing together expertise from both computer science and the humanities domains.
ConsILR-2026 is jointly organised by: “Dunarea de Jos” University of Galati, University “Alexandru Ioan Cuza” of Iași with the Faculty of Computer Science, Romanian Academy with its research institutes in Iași (Computer Science and Philology) and Bucharest (”Mihai Drăgănescu” Research Institute for Artificial Intelligence), the Romanian Association of Computational Linguistics and the Academy of Technical Sciences of Romania.
ConsILR is addressed to both computer scientists and linguists — ranging from PhD students to experienced researchers — who are engaged in all aspects of language modeling and processing, including lexicographers and creators of various types of digital resources.
The papers should present original, unpublished research, as well as descriptions of completed or ongoing work across all areas of natural language processing, digital humanities, and the development of resources and tools for processing both written and spoken language. Contributions are expected to cover topics in theoretical, empirical, and applied linguistics, including computational models of language and studies addressing morphological, syntactic, semantic, and discourse structures, as well as pragmatic usage. Submissions may also explore technologies for analyzing and interpreting historical language variants. In addition, contributions may introduce new linguistic resources, such as speech and text corpora, multimodal datasets, electronic dictionaries, treebanks, language models, transferable pre-trained deep learning models, vector representations, and annotated language data repositories. A wide range of computational approaches is encouraged, from theoretical and symbolic methods to statistical and neural techniques, along with case studies, application demonstrations, and survey papers. While research on any language is welcome, particular emphasis is placed on studies highlighting specific features of the Romanian language, including its dialects and idiomatic forms.