{"title":"自由语言环境项目的初步结果","authors":"D. Cavar, Lwin Moe, Hai Hu, K. Steimel","doi":"10.21248/hpsg.2016.9","DOIUrl":null,"url":null,"abstract":"\nThe Free Linguistic Environment (FLE) project focuses on the\ndevelopment of an open and free library of natural language processing\nfunctions and a grammar engineering platform for Lexical Functional\nGrammar (LFG) and related grammar frameworks. In its present state the\ncode-base of FLE contains basic essential elements for LFG-parsing. It\nuses finite-state-based morphological analyzers and syntactic\nunification parsers to generate parse-trees and related functional\nrepresentations for input sentences based on a grammar. It can\nprocess a variety of grammar formalisms, which can be used\nindependently or serve as backbones for the LFG parser. Among the\nsupported formalisms are Context-free Grammars (CFG), Probabilistic\nContextfree Grammars (PCFG), and all formal grammar components of the\nXLEgrammar formalism. The current implementation of the LFG-parser\nincludes the possibility to use a PCFG backbone to model probabilistic\nc-structures. It also includes f-structure representations that allow\nfor the specification or calculation of probabilities for complete\nf-structure representations, as well as for sub-paths in f-structure\ntrees. Given these design features, FLE enables various forms of\nprobabilistic modeling of c-structures and f-structures for input or\noutput sentences that go beyond the capabilities of other technologies\nbased on the LFG framework.","PeriodicalId":388937,"journal":{"name":"Proceedings of the International Conference on Head-Driven Phrase Structure Grammar","volume":"236 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Preliminary results from the Free Linguistic Environment project\",\"authors\":\"D. Cavar, Lwin Moe, Hai Hu, K. Steimel\",\"doi\":\"10.21248/hpsg.2016.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nThe Free Linguistic Environment (FLE) project focuses on the\\ndevelopment of an open and free library of natural language processing\\nfunctions and a grammar engineering platform for Lexical Functional\\nGrammar (LFG) and related grammar frameworks. In its present state the\\ncode-base of FLE contains basic essential elements for LFG-parsing. It\\nuses finite-state-based morphological analyzers and syntactic\\nunification parsers to generate parse-trees and related functional\\nrepresentations for input sentences based on a grammar. It can\\nprocess a variety of grammar formalisms, which can be used\\nindependently or serve as backbones for the LFG parser. Among the\\nsupported formalisms are Context-free Grammars (CFG), Probabilistic\\nContextfree Grammars (PCFG), and all formal grammar components of the\\nXLEgrammar formalism. The current implementation of the LFG-parser\\nincludes the possibility to use a PCFG backbone to model probabilistic\\nc-structures. It also includes f-structure representations that allow\\nfor the specification or calculation of probabilities for complete\\nf-structure representations, as well as for sub-paths in f-structure\\ntrees. Given these design features, FLE enables various forms of\\nprobabilistic modeling of c-structures and f-structures for input or\\noutput sentences that go beyond the capabilities of other technologies\\nbased on the LFG framework.\",\"PeriodicalId\":388937,\"journal\":{\"name\":\"Proceedings of the International Conference on Head-Driven Phrase Structure Grammar\",\"volume\":\"236 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Head-Driven Phrase Structure Grammar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21248/hpsg.2016.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Head-Driven Phrase Structure Grammar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21248/hpsg.2016.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preliminary results from the Free Linguistic Environment project
The Free Linguistic Environment (FLE) project focuses on the
development of an open and free library of natural language processing
functions and a grammar engineering platform for Lexical Functional
Grammar (LFG) and related grammar frameworks. In its present state the
code-base of FLE contains basic essential elements for LFG-parsing. It
uses finite-state-based morphological analyzers and syntactic
unification parsers to generate parse-trees and related functional
representations for input sentences based on a grammar. It can
process a variety of grammar formalisms, which can be used
independently or serve as backbones for the LFG parser. Among the
supported formalisms are Context-free Grammars (CFG), Probabilistic
Contextfree Grammars (PCFG), and all formal grammar components of the
XLEgrammar formalism. The current implementation of the LFG-parser
includes the possibility to use a PCFG backbone to model probabilistic
c-structures. It also includes f-structure representations that allow
for the specification or calculation of probabilities for complete
f-structure representations, as well as for sub-paths in f-structure
trees. Given these design features, FLE enables various forms of
probabilistic modeling of c-structures and f-structures for input or
output sentences that go beyond the capabilities of other technologies
based on the LFG framework.