{"title":"连续词表示的词法句法规律:多语言研究。","authors":"Garrett Nicolai, Colin Cherry, Grzegorz Kondrak","doi":"10.3115/v1/W15-1518","DOIUrl":null,"url":null,"abstract":"We replicate the syntactic experiments of Mikolov et al. (2013b) on English, and expand them to include morphologically complex languages. We learn vector representations for Dutch, French, German, and Spanish with the WORD2VEC tool, and investigate to what extent inflectional information is preserved across vectors. We observe that the accuracy of vectors on a set of syntactic analogies is inversely correlated with the morphological complexity of the language.","PeriodicalId":299646,"journal":{"name":"VS@HLT-NAACL","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study.\",\"authors\":\"Garrett Nicolai, Colin Cherry, Grzegorz Kondrak\",\"doi\":\"10.3115/v1/W15-1518\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We replicate the syntactic experiments of Mikolov et al. (2013b) on English, and expand them to include morphologically complex languages. We learn vector representations for Dutch, French, German, and Spanish with the WORD2VEC tool, and investigate to what extent inflectional information is preserved across vectors. We observe that the accuracy of vectors on a set of syntactic analogies is inversely correlated with the morphological complexity of the language.\",\"PeriodicalId\":299646,\"journal\":{\"name\":\"VS@HLT-NAACL\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VS@HLT-NAACL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3115/v1/W15-1518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VS@HLT-NAACL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3115/v1/W15-1518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study.
We replicate the syntactic experiments of Mikolov et al. (2013b) on English, and expand them to include morphologically complex languages. We learn vector representations for Dutch, French, German, and Spanish with the WORD2VEC tool, and investigate to what extent inflectional information is preserved across vectors. We observe that the accuracy of vectors on a set of syntactic analogies is inversely correlated with the morphological complexity of the language.