{"title":"建设矿业","authors":"Fabian Barteld, Alexander Ziem","doi":"10.1075/BJL.00030.BAR","DOIUrl":null,"url":null,"abstract":"\n The German Constructicon Project (www.german-constructicon.de) aims at documenting grammatical constructions in contemporary standard German on the basis\n of annotated corpus examples, including relations between constructions and between constructions and evoked semantic frames. So\n far, the research focus has been mainly on the development and computational implementation of a constructicographic workflow\n (including a parsing pipeline) that allows for addressing any kind of constructions on varying levels of schematicity,\n idiomaticity, and abstractness. However, such an exemplar-driven procedure precludes us from systematically identifying\n constructional candidates. In this article, we scrutinize ways to operationalize and implement data-mining procedures to\n inductively identify construction candidates.","PeriodicalId":414884,"journal":{"name":"Belgian Journal of Linguistics, Volume 34 (2020)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Construction mining\",\"authors\":\"Fabian Barteld, Alexander Ziem\",\"doi\":\"10.1075/BJL.00030.BAR\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The German Constructicon Project (www.german-constructicon.de) aims at documenting grammatical constructions in contemporary standard German on the basis\\n of annotated corpus examples, including relations between constructions and between constructions and evoked semantic frames. So\\n far, the research focus has been mainly on the development and computational implementation of a constructicographic workflow\\n (including a parsing pipeline) that allows for addressing any kind of constructions on varying levels of schematicity,\\n idiomaticity, and abstractness. However, such an exemplar-driven procedure precludes us from systematically identifying\\n constructional candidates. In this article, we scrutinize ways to operationalize and implement data-mining procedures to\\n inductively identify construction candidates.\",\"PeriodicalId\":414884,\"journal\":{\"name\":\"Belgian Journal of Linguistics, Volume 34 (2020)\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Belgian Journal of Linguistics, Volume 34 (2020)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1075/BJL.00030.BAR\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Belgian Journal of Linguistics, Volume 34 (2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/BJL.00030.BAR","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The German Constructicon Project (www.german-constructicon.de) aims at documenting grammatical constructions in contemporary standard German on the basis
of annotated corpus examples, including relations between constructions and between constructions and evoked semantic frames. So
far, the research focus has been mainly on the development and computational implementation of a constructicographic workflow
(including a parsing pipeline) that allows for addressing any kind of constructions on varying levels of schematicity,
idiomaticity, and abstractness. However, such an exemplar-driven procedure precludes us from systematically identifying
constructional candidates. In this article, we scrutinize ways to operationalize and implement data-mining procedures to
inductively identify construction candidates.