{"pk":30553,"title":"A Principle-Based Approach To Parsing for Machine Translation","subtitle":null,"abstract":"Many parsing strategies for machine translation systems are based entirely on context-free grammars; to try to capture all natural language phenomena, these systems require an overwhelming number of rules; thus a translation system either has limited linguistic coverage, or poor performance (due to formidable grammar size). This paper shows how a principle based \"co-routine design\" implementation improves the parsing problem for translation. The parser consists of a skeletal structure-building mechanism that operates in conjunction with a linguisticlaly based constraint module, passing control back and forth until underspecified skeltal phrase structure is converted into a fully isntantialed  parse tree. The modularity of the parsing design accomodates lingusitic genralization, reduces the grammar size, enables extendibility, and is compatible with studies of human language processing.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Linguistics I","is_remote":true,"remote_url":"https://escholarship.org/uc/item/3vr9f13r","frozenauthors":[{"first_name":"Bonnie","middle_name":"J.","last_name":"Dorr","name_suffix":"","institution":"Massachusetts Institute of Technology","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"1987-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/30553/galley/20402/download/"}]}