基于不同文体的藏语名词统计研究——以新闻与散文为例

A Statistical Study on Tibetan Nouns Based on Different Textual Styles—A Case Study of News and Prose

摘要: 本文以藏语新闻和散文两种文体为研究对象，采用语料库语言学与计量语言学方法，系统考察了名词在两类文体中的形式特征、分布特征及语义差异。研究发现，新闻文体中政治经济类复合名词占比显著，呈现高信息密度特征；而散文中自然意象与情感类单音节名词更为突出，体现文学表达的具象化倾向。通过对比分析音节结构、词频分布、语义场分类等维度，揭示了藏语文体差异对名词选择的深层制约机制，为藏语信息处理、教学及跨文体翻译提供了数据支持与理论参考。

Abstract: This paper takes Tibetan news and prose as the research objects and adopts the methods of corpus linguistics and quantitative linguistics to systematically investigate the formal features, distribution characteristics and semantic differences of nouns in the two types of texts. The research finds that in news texts, compound nouns related to politics and economy account for a significant proportion, presenting a high information density feature; while in prose, monosyllabic nouns related to natural images and emotions are more prominent, reflecting the tendency of concrete expression in literary expression. Through comparative analysis of syllable structure, word frequency distribution, semantic field classification and other dimensions, the paper reveals the deep-seated constraints of Tibetan text type differences on noun selection, providing data support and theoretical reference for Tibetan information processing, teaching and cross-genre translation.