Robustness, Portability, and Scalability Language Systems
Ralph Weischedel · 1994
Our approach is to apply probabilistic language models and training over large corpora in all phases of natural language processing. This new approach will enable systems to adapt to both new task domains and linguistic expressions not seen before by semi-automatically acquiring 1) a domain model, 2) facts required for semantic processing, 3) grammar rules, 4) information about new words, 5) probability models on frequency of occurrence, and 6) rules for mapping from semantic representation to application structure.