Computational Linguistics and Intelligent Text Processing

This comprehensive two-volume collection presents the cutting-edge research from the 13th International Conference on Computational Linguistics and Intelligent Text Processing, featuring 92 peer-reviewed papers that map the current landscape of natural language processing technologies. The proceedings systematically organize groundbreaking work across NLP system architecture, lexical resources, morphology, syntax, and word sense disambiguation, offering readers a structured exploration of how computers process and understand human language. These volumes capture a pivotal moment in computational linguistics when machine learning approaches were rapidly transforming how systems handle semantic analysis and language structure.

For students and researchers entering the field, this collection provides essential foundational knowledge while showcasing the methodological diversity that characterizes modern computational linguistics. The papers demonstrate both theoretical frameworks and practical applications, making this work particularly valuable for those seeking to understand the bridge between linguistic theory and intelligent text processing systems. As a snapshot of international research collaboration, these proceedings remain relevant for anyone tracking the evolution of language technology and its underlying computational principles.