Paper: LiLFeS- Towards a Practical HPSG Parser

ACL ID C98-2128
Title LiLFeS- Towards a Practical HPSG Parser
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1998

This paper presents the LiLFeS system, an efficient feature-structure description language for HPSG. The core engine of LiLFeS is an Abstract Machine for Attribute-Value Logics, proposed by Carpenter and Qu. Basic design policies, the current status, and performance evaluation of the LiLFeS system are described. The paper discusses two implementations of the LiLFeS. The first one is based on an emu- lator of the abstract machine, while the second one uses a native-code compiler and therefore is much more efficient than the first one. 1 Motivation Inefficiency is the major reason why the HPSG formalism (Pollard and Sag, 1993) has not been used for practical applications. However, one can claim that HPSG may not be so inefficient; it is just that an efficient implementation...