TY - RPRT T1 - Principle-Based Parsing for Machine Translation Y1 - 1987 A1 - Dorr, Bonnie J KW - *MACHINE TRANSLATION KW - *PARSERS KW - *SYNTAX KW - CONTROL KW - COROUTINE DESIGN KW - CYBERNETICS KW - grammars KW - HUMANS KW - LANGUAGE KW - linguistics KW - MODULAR CONSTRUCTION KW - natural language KW - PRINCIPLES BASED PARSERS KW - PROCESSING KW - STRATEGY KW - SUBROUTINES AB - Many syntactic parsing strategies for machine translation systems are based entirely on context-free grammars. These parsers require an overwhelming number of rules; thus, translation systems using rule-based parsers either have limited linguistic coverage, or they have poor performance due to formidable grammar size. This report shows how a principle-based parser with a co-routine design improves parsing for translation. The parser consists of a skeletal structure-building mechanism that operates in conjunction with a linguistically based constraint module, passing control back and forth until a set of underspecified skeletal phrase-structures is converted into a fully instantiated parse tree. The modularity of the parsing design accommodates linguistic generalization, reduces the grammar size, allows extension to other languages, and is compatible with studies of human language processing. Keywords: Natural language processing, Interlingual translation, Parsing, Subroutines, Principles vs. Rules, Co-routine design, Linguistic constraints. PB - MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB UR - http://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA199183 ER -