Paper: Sentence Disambiguation By A Shift-Reduce Parsing Technique

ACL ID P83-1017
Title Sentence Disambiguation By A Shift-Reduce Parsing Technique
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1983
Authors

Artificial Intelligence Center SRI International 333 Ravenswood Avenue Menlo Park, CA 94025 Native speakers of English show definite and consistent preferences for certain readings of syntactically ambiguous sen- tences. A user of a natural-language-processing system would naturally expect it to reflect the same preferences. Thus, such systems must model in some way the linguistic performance as well as the linguistic competence of the native speaker. We have developed a parsing algorithm--a variant of the LALR(I} shift.-reduce algorithm--that models the preference behavior of native speakers for a range of syntactic preference phenomena reported in the psycholinguistic literature, including the recent data on lexical preferences. The algorithm yields the preferred parse deterministically,...