为俄语文本开发了心理学语言分析工具，支持96类语义分类。
RusLICA: A Russian-Language Platform for Automated Linguistic Inquiry and Category Analysis
- 基于俄语语法与文化特点构建专用词典，非简单翻译英文版
- 整合96个类别，涵盖词法、句法、统计特征及预训练模型预测结果
- 适用于研究俄语文本心理特征的学者，尤其关注语言与认知关系者
书面文本的心理语言学特征分析正受到越来越多研究者的关注。当前广泛使用的工具是语言探究与词频统计（LIWC），最初用于分析英语文本，并已翻译成多种语言。本文提出一种针对俄语的LIWC方法适配方案，充分考虑其语法和文化特性。该方法包含96个分类，融合了句法、形态、词汇、通用统计特征以及使用预训练语言模型获得的预测结果。不同于直接翻译现有词典，我们基于多个词典资源、语义词典和语料库内容，专门构建了俄语词典。论文详细描述了词元映射至42个心理语言学类别的过程，并实现了作为RusLICA网络服务的分析器。
原文摘要 · Abstract (English)
Defining psycholinguistic characteristics in written texts is a task gaining increasing attention from researchers. One of the most widely used tools in the current field is Linguistic Inquiry and Word Count (LIWC) that originally was developed to analyze English texts and translated into multiple languages. Our approach offers the adaptation of LIWC methodology for the Russian language, considering its grammatical and cultural specificities. The suggested approach comprises 96 categories, integrating syntactic, morphological, lexical, general statistical features, and results of predictions obtained using pre-trained language models (LMs) for text analysis. Rather than applying direct translation to existing thesauri, we built the dictionary specifically for the Russian language based on the content from several lexicographic resources, semantic dictionaries and corpora. The paper describes the process of mapping lemmas to 42 psycholinguistic categories and the implementation of the analyzer as part of RusLICA web service.
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