{"title":"高度屈折语言的统计建模","authors":"M. Maučec, Z. Kacic","doi":"10.4018/978-1-59904-849-9.CH215","DOIUrl":null,"url":null,"abstract":"A language model is a description of language. Although grammar has been the prevalent tool in modelling language for a long time, interest has recently shifted towards statistical modelling. This chapter refers to speech recognition experiments, although statistical language models are applicable over a wide-range of applications: machine translation, information retrieval, etc. Statistical modelling attempts to estimate the frequency of word sequences. If a sequence of words is s = w1w2...wk, the probability can be expressed as:","PeriodicalId":320314,"journal":{"name":"Encyclopedia of Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Statistical Modelling of Highly Inflective Languages\",\"authors\":\"M. Maučec, Z. Kacic\",\"doi\":\"10.4018/978-1-59904-849-9.CH215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A language model is a description of language. Although grammar has been the prevalent tool in modelling language for a long time, interest has recently shifted towards statistical modelling. This chapter refers to speech recognition experiments, although statistical language models are applicable over a wide-range of applications: machine translation, information retrieval, etc. Statistical modelling attempts to estimate the frequency of word sequences. If a sequence of words is s = w1w2...wk, the probability can be expressed as:\",\"PeriodicalId\":320314,\"journal\":{\"name\":\"Encyclopedia of Artificial Intelligence\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Encyclopedia of Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-59904-849-9.CH215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Encyclopedia of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-59904-849-9.CH215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical Modelling of Highly Inflective Languages
A language model is a description of language. Although grammar has been the prevalent tool in modelling language for a long time, interest has recently shifted towards statistical modelling. This chapter refers to speech recognition experiments, although statistical language models are applicable over a wide-range of applications: machine translation, information retrieval, etc. Statistical modelling attempts to estimate the frequency of word sequences. If a sequence of words is s = w1w2...wk, the probability can be expressed as:
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