基于小型语料库的维吾尔语名词构形语素统计分析

维吾尔语作为一种形态结构复杂的语言,其词与词之间的关系常常需要采用附加词尾的构形语法手段来表达,名词是维吾尔语中的一种重要词类,因此分析维吾尔语中的名词构形语素非常重要。文章主要通过切分统计基于YiCorpus平台所建立的法律法规小型语料库中出现的名词构形语素来分析不同构形语素出现频率不同的原因,为维吾尔语教育教学提供一定的帮助,对计算机语言学的进一步研究给予支持,也为语言研究与语言教学提供更加可靠的统计数据。文章采用了文献研究法、统计分析法以及语料分析法对语料库内的语料进行收集、整理、分析,总结出了维吾尔语名词构形语素的使用特点及规律,通过此次研究发现,针对法律 + 维吾尔语双学位学生的语言教学和面向司法干部的语言教学有一些不同于普通的第二语言教学的特点和规律,教学人员应该根据教学对象的不同采取不同的教学方法和策略。Uyghur, as a language with a complex morphological structure, often uses morphological grammatical methods, such as suffixes, to express the relationships between words. Nouns are a significant part of the Uyghur language;hence, analyzing the noun morphological morphemes in Uyghur is crucial. This article primarily focuses on studying the noun morphological morphemes within a specialized legal corpus developed on the YiCorpus platform, investigating the varying frequencies of different noun morphological morphemes. This analysis aims to aid Uyghur language education and instruction, support further research in computational linguistics, and provide more reliable statistical data for both language research and teaching. The study employs methods such as literature review, statistical analysis, and corpus analysis to collect, organize, and scrutinize the corpus. It summarizes the usage characteristics and patterns of noun morphological morphemes in Uyghur, revealing specific distinctions and conventions in language teaching for students dual-majoring in law and Uyghur, as well as for judicial officials, compared to general second language instruction. Based on these findings, educators should adopt varied teaching methods and strategies tailored to the different needs of their students.

维吾尔语词义标注语料库管理系统的设计与实现

随着信息技术的飞速发展,网络已成为世界上最大的信息库,也是信息获取和传播的重要途径。而一个理想的维吾尔语词义标注语料库至少应该具有数据量大、覆盖范围广、准确度高等特点。为了能够管理大规模的数据,并为用户分析和研究语言系统的规律提供了一个更方便、快捷的方式,本系统借助网络平台开发了一个管理维吾尔语词义标注语料库的管理系统,实现了维吾尔语词义标注语料库的智能化管理。为了使该系统的科学的分析与设计,采用UML进行建模分析与设计。