The Quantitative, Mathematical and Computational Linguistics (LQMC) research group is composed of researchers from the Universitat Politècnica de Catalunya (UPC) and was established through the merger of the CQL and INTERACT laboratories.
Its research focuses on the study of human language and animal communication through an interdisciplinary approach that integrates quantitative, mathematical, and computational methods. The group combines statistical analysis, mathematical modelling, graph theory, logic, algorithmics, and machine learning techniques applied to natural language processing. One of the group's main cross-cutting research interests is the study of syntactic dependency structures.
The main research areas are:
Quantitative linguistics and statistical analysis of language.
Mathematical linguistics based on algebra, logic, graph theory, and algorithmics.
Computational linguistics and machine learning applications to natural language processing.
Exploration of patterns and structures in human language and animal communication.
Modelling, explanation, and prediction of linguistic phenomena.
Development of solutions for natural language understanding.
Design and implementation of language technology applications and tools.