The Resolution Of Syntactic Ambiguity In Automatic Language Processing

The Resolution of Syntactic Ambiguity in Automatic Language Processing

Automatic Ambiguity Resolution in Natural Language Processing

This is an exciting time for Artificial Intelligence, and for Natural Language Processing in particular. Over the last five years or so, a newly revived spirit has gained prominence that promises to revitalize the whole field: the spirit of empiricism. This book introduces a new approach to the important NLP issue of automatic ambiguity resolution, based on statistical models of text. This approach is compared with previous work and proved to yield higher accuracy for natural language analysis. An effective implementation strategy is also described, which is directly useful for natural language analysis. The book is noteworthy for demonstrating a new empirical approach to NLP; it is essential reading for researchers in natural language processing or computational linguistics.

Automatic Processing of Natural-Language Electronic Texts with NooJ

This book constitutes the refereed proceedings of the 9th International Conference, NooJ 2015, held in Minsk, Belarus, in June 2015. NooJ 2015 received 51 submissions. The 20 revised full papers presented in this volume were carefully reviewed and selected from the 35 papers that were presented at the conference. The papers are organized in topical sections on corpora, vocabulary and morphology; syntax and semantics; application.