Font Size: a A A

A Comparative Study Of Mongolian Network Language Vocabulary Between China And Mongolia Based On Corpus

Posted on:2021-04-07Degree:MasterType:Thesis
Country:ChinaCandidate:B BaiFull Text:PDF
GTID:2415330620976261Subject:Linguistics and Applied Linguistics
Abstract/Summary:PDF Full Text Request
In this paper,in order to compare the features of Mongolian network language vocabulary between China and Mongolia,a corpus of Mongolian and Kirillian is established,which is the source of the corpus from the current affairs politics,finance,cultural science columns of 20 Mongolian and Kirillian websites in China and Mongolia.The thesis consists of three parts: introduction,body and conclusion.The introduction expounds the research object,the reason and significance of this subject and the general situation of the research.The body consists of three parts.Chapter one describes the steps and methods of establishing and processing Mongolian and kirillian corpus.In the second chapter,the corpus is analysed according to the data obtained.First of all,this section makes a comparative study of highfrequency words in the Mongolian and Kirillian corpus,and then all the symbols(different word forms)in the corpus are compared with the “Mongolian Dictionary”(1999)compiled by Ce·Norjin et al and the “Mongolian Detailed Dictionary”(2008)edited by the Mongolian Academy of Sciences.In addition,a database of unknown words in Mongolian and Kirillian is established and their semantics are annotated.The third chapter introduces the comparative study of naming entities in Mongolian and Kirillian corpus,such as person name,place name,organization name,currency,percentage,date and time,etc.Then,it compares the three kinds of vocabulary: politics,finance and cultural science,and summed up the similarities and differences in the use of Mongolian vocabulary between Chinese and Mongolian.The conclusion part mainly summarizes the contents of the above three chapters.
Keywords/Search Tags:China and Mongolia, Mongolian and Kirillian corpus, named entity, terminology
PDF Full Text Request
Related items