{"title":"通过多篇课文学习单词","authors":"Chin-Chuan Cheng","doi":"10.1145/311110.311114","DOIUrl":null,"url":null,"abstract":"This paper shows how we use the Internet to gather a large number of texts to create programs for vocabulary learning. It first presents a cognitive basis for learning words, both English and Chinese. Current comprehensive Chinese dictionaries list over 50,000 characters and unabridged English dictionaries contain more than 400,000 entries, but I will show that the number of linguistic symbols a person can actively handle is somewhere between 4,000 and 7,000. Moreover, words are linked or connected to form a mental semantic network. These points explain why it is possible for a person to learn the essential lexicon of a language.","PeriodicalId":299906,"journal":{"name":"ACM Sigcue Outlook","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning words with many texts\",\"authors\":\"Chin-Chuan Cheng\",\"doi\":\"10.1145/311110.311114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper shows how we use the Internet to gather a large number of texts to create programs for vocabulary learning. It first presents a cognitive basis for learning words, both English and Chinese. Current comprehensive Chinese dictionaries list over 50,000 characters and unabridged English dictionaries contain more than 400,000 entries, but I will show that the number of linguistic symbols a person can actively handle is somewhere between 4,000 and 7,000. Moreover, words are linked or connected to form a mental semantic network. These points explain why it is possible for a person to learn the essential lexicon of a language.\",\"PeriodicalId\":299906,\"journal\":{\"name\":\"ACM Sigcue Outlook\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigcue Outlook\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/311110.311114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigcue Outlook","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/311110.311114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper shows how we use the Internet to gather a large number of texts to create programs for vocabulary learning. It first presents a cognitive basis for learning words, both English and Chinese. Current comprehensive Chinese dictionaries list over 50,000 characters and unabridged English dictionaries contain more than 400,000 entries, but I will show that the number of linguistic symbols a person can actively handle is somewhere between 4,000 and 7,000. Moreover, words are linked or connected to form a mental semantic network. These points explain why it is possible for a person to learn the essential lexicon of a language.
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