{"title":"日语中的条件搭配","authors":"Takumi Sonoda, T. Miura","doi":"10.1145/2537734.2537736","DOIUrl":null,"url":null,"abstract":"Analysis of Collocation is targeted for Natural Language Processing (NLP). From a linguistic perspective, collocation provides us with a way to place words close together in a natural manner. By this approach, we can examine deep structure of semantics through words and their situation. Although there have been some investigation based on co-occurrence, few discussion has been made about conditional collocation. In this investigation, we discuss a computational approach to extract conditional collocation by using data mining and statistical techniques.","PeriodicalId":402985,"journal":{"name":"Australasian Document Computing Symposium","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conditional collocation in Japanese\",\"authors\":\"Takumi Sonoda, T. Miura\",\"doi\":\"10.1145/2537734.2537736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis of Collocation is targeted for Natural Language Processing (NLP). From a linguistic perspective, collocation provides us with a way to place words close together in a natural manner. By this approach, we can examine deep structure of semantics through words and their situation. Although there have been some investigation based on co-occurrence, few discussion has been made about conditional collocation. In this investigation, we discuss a computational approach to extract conditional collocation by using data mining and statistical techniques.\",\"PeriodicalId\":402985,\"journal\":{\"name\":\"Australasian Document Computing Symposium\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Australasian Document Computing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2537734.2537736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Document Computing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2537734.2537736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Collocation is targeted for Natural Language Processing (NLP). From a linguistic perspective, collocation provides us with a way to place words close together in a natural manner. By this approach, we can examine deep structure of semantics through words and their situation. Although there have been some investigation based on co-occurrence, few discussion has been made about conditional collocation. In this investigation, we discuss a computational approach to extract conditional collocation by using data mining and statistical techniques.