B. K. T'sou, Hing-lung Lin, Godfrey Liu, Terence Y. W. Chan, Jerome Hu, Ching-hai Chew, John K. P. Tse
{"title":"不同语音群体同步汉语语料库的构建与应用","authors":"B. K. T'sou, Hing-lung Lin, Godfrey Liu, Terence Y. W. Chan, Jerome Hu, Ching-hai Chew, John K. P. Tse","doi":"10.30019/IJCLCLP.199702.0004","DOIUrl":null,"url":null,"abstract":"Similar to other languages such as English, Spanish and Arabic, Chinese is used by a large number of speakers in distinct speech communities which, despite sharing the unity of language, vary in interesting ways, and a systematic study of such linguistic variation is invaluable to appreciate the diversity and richness of the underlying cultures. This paper describes Project LIVAC (Linguistic Variation in Chinese Communities), which focuses on the development of a Chinese corpus, based on data taken concurrently at regular intervals from multiple Chinese speech communities. The resulting database and computerized concordance from the approximately 20 million word corpus with uniform time reference points extending across two years enable linguists and social scientists to undertake meaningful qualitative and quantitative comparative analysis of the development of linguistic and cultural variation. To facilitate these studies, a framework for integrating the corpus with specific corpus analysis applications is proposed. Based on this framework, a prototype retrieval system, which supports longitudinal studies on word and concept distribution, as well as lexical and other linguistic variation, is designed and implemented.","PeriodicalId":436300,"journal":{"name":"Int. J. Comput. Linguistics Chin. Lang. Process.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A Synchronous Chinese Language Corpus from Different Speech Communities: Construction and Applications\",\"authors\":\"B. K. T'sou, Hing-lung Lin, Godfrey Liu, Terence Y. W. Chan, Jerome Hu, Ching-hai Chew, John K. P. Tse\",\"doi\":\"10.30019/IJCLCLP.199702.0004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Similar to other languages such as English, Spanish and Arabic, Chinese is used by a large number of speakers in distinct speech communities which, despite sharing the unity of language, vary in interesting ways, and a systematic study of such linguistic variation is invaluable to appreciate the diversity and richness of the underlying cultures. This paper describes Project LIVAC (Linguistic Variation in Chinese Communities), which focuses on the development of a Chinese corpus, based on data taken concurrently at regular intervals from multiple Chinese speech communities. The resulting database and computerized concordance from the approximately 20 million word corpus with uniform time reference points extending across two years enable linguists and social scientists to undertake meaningful qualitative and quantitative comparative analysis of the development of linguistic and cultural variation. To facilitate these studies, a framework for integrating the corpus with specific corpus analysis applications is proposed. Based on this framework, a prototype retrieval system, which supports longitudinal studies on word and concept distribution, as well as lexical and other linguistic variation, is designed and implemented.\",\"PeriodicalId\":436300,\"journal\":{\"name\":\"Int. J. Comput. Linguistics Chin. Lang. Process.\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Comput. Linguistics Chin. Lang. Process.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30019/IJCLCLP.199702.0004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Comput. Linguistics Chin. Lang. Process.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30019/IJCLCLP.199702.0004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
摘要
与英语、西班牙语和阿拉伯语等其他语言类似,汉语是由不同语言群体的大量使用者使用的,尽管这些语言是统一的,但却以有趣的方式变化着,对这种语言变化的系统研究对于欣赏潜在文化的多样性和丰富性是非常宝贵的。本文介绍了LIVAC (Chinese Communities Linguistic Variation in Chinese Communities)项目,该项目侧重于基于定期从多个汉语语音社区同时采集的数据开发汉语语料库。从大约2000万词的语料库中得到的数据库和计算机化的一致性,具有跨越两年的统一时间参考点,使语言学家和社会科学家能够对语言和文化变异的发展进行有意义的定性和定量比较分析。为了促进这些研究,提出了一个将语料库与特定语料库分析应用程序集成的框架。基于该框架,设计并实现了一个支持单词和概念分布、词汇和其他语言变化纵向研究的原型检索系统。
A Synchronous Chinese Language Corpus from Different Speech Communities: Construction and Applications
Similar to other languages such as English, Spanish and Arabic, Chinese is used by a large number of speakers in distinct speech communities which, despite sharing the unity of language, vary in interesting ways, and a systematic study of such linguistic variation is invaluable to appreciate the diversity and richness of the underlying cultures. This paper describes Project LIVAC (Linguistic Variation in Chinese Communities), which focuses on the development of a Chinese corpus, based on data taken concurrently at regular intervals from multiple Chinese speech communities. The resulting database and computerized concordance from the approximately 20 million word corpus with uniform time reference points extending across two years enable linguists and social scientists to undertake meaningful qualitative and quantitative comparative analysis of the development of linguistic and cultural variation. To facilitate these studies, a framework for integrating the corpus with specific corpus analysis applications is proposed. Based on this framework, a prototype retrieval system, which supports longitudinal studies on word and concept distribution, as well as lexical and other linguistic variation, is designed and implemented.