The Experimental Study On The Corpus Based Word Frequency Statistics Of Modern Uighur Language

The rapid development of corpus linguistics in recent years has opened up a new way of studying languages. The corpus based research achievements of many languages such as English, Chinese in corpus linguistics and word frequency statistics laid a reliable, solid foundation and the experience for reference to minority languages to go on quantitative analysis of different fields of corpus. The development of Uighur word processing technology and language research achievements has created good condition to promote the research work on the corpus and word frequency statistics of Uighur language. Based on the theories and skills of Corpus Linguistics, this paper tries to find out the ways and methods of automatic recognition and computer processing of Uighur Corpus by using one of the medium-length novel of modern uighur language and states the related procedures and particular techniques and announced preliminary research achievements such as automatic word-classtagged text, word frequency table and the statistic analyse of them-This experiment will help to the automation of processing of Uighur corpus and set the foundation of making large corpus. Through connecting corpus with database, and automatic word-class tagging text, the author draw the conclusion that the whole corpus consisted of total 11771 words and 1823 stems, and calculated the word frequency and word occurrence of each word. This experiment prove that it is ML possible to bring about automatic corpus recognition and statistics of uighur language by combining the methods of corpus with the programs of reflecting the characteristics of uighur language .