This collection takes the exciting step of examining natural language phenomena from the perspectives of both computational linguistics and formal semantics. Computational linguistics has until now been primarily concerned with the construction of computational models for handling the complexities of linguistic form, but has not tackled the questions of representing or computing meaning. Formal semantics, on the other hand, has attempted to account for the relations between forms and meanings, without necessarily attending to computational concerns. Computational Linguistics and Formal Semantics introduces the reader to the two disciplines and considers the prospects for the more unified and comprehensive computational theory of language that might obtain from their amalgamation.
Studies in Natural Language Processing Series
This series delves into the intricate world of Natural Language Processing (NLP), where linguistics and computer science converge. Each volume offers an in-depth survey of current research and applications in this rapidly evolving field. Explore how technology is deciphering human language and shaping our digital interactions, from voice interfaces to advanced text analysis. It is an essential resource for researchers and graduate students interested in language technology, cognitive science, and linguistics.


Systemic Text Generation
- 228 pages
- 8 hours of reading
The book delves into a novel methodology for text generation by viewing systemic grammar through the lens of computational representation. It examines how this framework can enhance the understanding and creation of textual content, offering insights into the interplay between linguistic theory and computational techniques. The study aims to bridge the gap between grammar and technology, providing a fresh perspective on generating coherent and contextually relevant text.