Paper: Recycling Terms Into A Partial Parser

ACL ID A94-1019
Title Recycling Terms Into A Partial Parser
Venue Applied Natural Language Processing Conference
Session Main Conference
Year 1994

Both full-text information retrieval and large scale parsing require text preprocessing to identify strong lexical associations in textual databases. In order to associate linguistic felicity with computational efficiency, we have conceived FASTR a unification-based parser supporting large textual and grammatical databases. The grammar is composed of term rules obtained by tagging and lemmatizing term lists with an on- line dictionary. Through FASTR, large terminological data can be recycled for text processing purposes. Great stress is placed on the handling of term variations through metarules which relate basic terms to their semantically close morphosyntactic variants. The quality of terminological extraction and the computational efficiency of FASTR are evaluated through a joint exper...