CORPUS ANALYSIS WITH THE AID OF MACHINE READABLE DICTIONARY-in the Case of Texts Written in Indic Scripts-

该项目的目的是开发这样一种方法，通过该方法，计算机可以检索语言语料库，并在适当的机器可读字典（MRD）的帮助下生成语法标记的文本。项目的目标语言是印地语、梵语、泰语、柬埔寨语和缅甸语，这些语言都有以下共同特点：采用印度文字，可以为印度文字制定通用的ASCII码转录规则。被归类为所谓的SOV类型语言，在这种语言中，运行文本中出现的任何单词形式都可以分为BASE和后缀，即使是粘合或屈折。我们为目标语言设计了通用的MRD格式，并开发了几个在MS-DOS和Unix操作系统上使用MRD的程序。每个MRD包含超过10,000个头词。至于印地语，由于这个项目的实现，一些暂定的服务可以在以下网站上获得。日文版（http://www.aa.tufs.ac）。jp / -kmach /你可以

The aim of this project is to develop such a method by which a computer could retrieve language corpus and produce grammatically tagged texts with the aid of proper Machine Readable Dictionaries (MRD). The target languages of the project are Hindi, Sanskrit, Thai, Cambodian and Burmese, All these languages have the following features in common.adopting Indic scripts, for which common transcription rules using ASCII code can be made up.being classified to so-called SOV type languages, in which any word form occurring in running texts can be divided into BASE and SUFFIX(es), even if agglutinative or inflectional. We have designed the common format of MRD for the target languages and developed severalprograms which work with MRDs both on MS-DOS and Unix OS.Each MRD contains more than 10,000 head words. As for Hindi some tentative services due to the achievement of this project are available on the following web site.Japanese version (http : //www3.aa.tufs.ac. jp/-kmach/index.htm)