Paper: Robust Parsing Of Severely Corrupted Spoken Utterances

ACL ID C88-1040
Title Robust Parsing Of Severely Corrupted Spoken Utterances
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1988
Authors

This paper describes a technique for enabling a speech understanding system to deal with sentences for which some monosyllabic words are not recognized. Such words are supposed to act as mere syntactic markers within the system linguistic domain. This result is achieved by com- bining a modified caseframe approach to linguistic knowl- edge representation with a parsing strategy able to inte- grate expectations from the language model and predic- tions from words. Experimental results show that the proposed technique permits to greatly increase the quota of corrupted sentences correctly understandable without sensibly decreasing parsing efficiency.