{"title":"Earley表遍历分析器","authors":"Elizabeth Scott, Adrian Johnstone","doi":"10.1016/j.scico.2025.103335","DOIUrl":null,"url":null,"abstract":"<div><div>We present a version of Earley's general parsing algorithm which uses a precomputed table. Our algorithm generates a set based representation of sentence derivations, precomputed components of which are also held in the table. We give experimental results for Java and ANSI C showing that the data structures produced are considerably smaller than the corresponding Earley data structures, and that the algorithm runs faster. The algorithm retains the simplicity of Earley's approach and, without explanatory discussion, takes only about a page to fully specify. This paper contains both motivational discussion, describing a recogniser version of the algorithm first and then its extension to a parser, and a concise, bare, but complete parser specification.</div></div>","PeriodicalId":49561,"journal":{"name":"Science of Computer Programming","volume":"247 ","pages":"Article 103335"},"PeriodicalIF":1.5000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Earley table traversing parsers\",\"authors\":\"Elizabeth Scott, Adrian Johnstone\",\"doi\":\"10.1016/j.scico.2025.103335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We present a version of Earley's general parsing algorithm which uses a precomputed table. Our algorithm generates a set based representation of sentence derivations, precomputed components of which are also held in the table. We give experimental results for Java and ANSI C showing that the data structures produced are considerably smaller than the corresponding Earley data structures, and that the algorithm runs faster. The algorithm retains the simplicity of Earley's approach and, without explanatory discussion, takes only about a page to fully specify. This paper contains both motivational discussion, describing a recogniser version of the algorithm first and then its extension to a parser, and a concise, bare, but complete parser specification.</div></div>\",\"PeriodicalId\":49561,\"journal\":{\"name\":\"Science of Computer Programming\",\"volume\":\"247 \",\"pages\":\"Article 103335\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of Computer Programming\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167642325000747\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of Computer Programming","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167642325000747","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
We present a version of Earley's general parsing algorithm which uses a precomputed table. Our algorithm generates a set based representation of sentence derivations, precomputed components of which are also held in the table. We give experimental results for Java and ANSI C showing that the data structures produced are considerably smaller than the corresponding Earley data structures, and that the algorithm runs faster. The algorithm retains the simplicity of Earley's approach and, without explanatory discussion, takes only about a page to fully specify. This paper contains both motivational discussion, describing a recogniser version of the algorithm first and then its extension to a parser, and a concise, bare, but complete parser specification.
期刊介绍:
Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design.
The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice.
The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including
• Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;
• Design, implementation and evaluation of programming languages;
• Programming environments, development tools, visualisation and animation;
• Management of the development process;
• Human factors in software, software for social interaction, software for social computing;
• Cyber physical systems, and software for the interaction between the physical and the machine;
• Software aspects of infrastructure services, system administration, and network management.