詞彙共現網絡輔助學術用途華語教材詞彙編排探析

Using the Co-occurrence Network of SNA to Assist Vocabulary Arrangement in Chinese for Academic Purposes Teaching Materials

本研究探討詞彙共現網絡在學術用途華語教材詞彙組織中的應用潛力。網絡分析（Social Network Analysis，SNA）原用於分析社會結構，透過節點、連結、群聚與中心性等指標呈現網絡關係；近年亦逐漸應用於語料庫語言學，以揭示詞彙之間的語義關聯與使用模式。相較於一般華語教材編寫，學術用途華語教材更需處理學術詞彙、詞群搭配與篇章論述功能之間的組織關係。過去研究以學術語料庫建立中文學術詞表，作為教材詞彙選取之基礎，然鮮少聚焦於分析詞彙間之共現關係及其教學意涵。本研究以既有學術詞表為基礎，選取1000篇THCI及TSSCI核心期刊語料，運用CORPRO中文語料庫進行分析，將詞彙區分為學術內容詞、學術論述功能詞、一般功能詞，建構詞彙共現網絡。分析上，以學術內容詞之共現網絡為主，並輔以學術內容詞與學術論述功能詞之共現關係，探討其轉化為學術華語句型、段痢釕接與論述功能教學之可能。研究結果顯示，詞彙共現網絡可補充傳统詞表之頻率資訊，呈現學術內容詞之間的關聯結構與模組分布，有助於教材編寫者從詞頻排序轉向詞群、搭配與篇章功能之系统化編排。本研究據此提出詞彙共現網絡應用於學術用途華語教材詞彙組織之方去與教學意涵，作為未來教材編纂、詞彙單元設計與學術華語教學之參考。

This study explores the application of co-occurrence networks in Social Network Analysis (SNA) to vocabulary organization in Chinese for Academic Purposes teaching materials. Originally developed to analyze social structures, SNA employs measures such as nodes, edges, clustering, and centrality to represent relational patterns. In recent years, it has been extended to corpus linguistics to reveal semantic associations and usage patterns among lexical items. Compared with general Chinese teaching materials, Chinese for Academic Purposes teaching materials need to address the organizational relationships among academic vocabulary, lexical clusters, and discourse functions. Previous studies have constructed Chinese academic wordlists based on corpora, providing a foundation for vocabulary selection, yet relatively little attention has been paid to the co-occurrence relationships among words and their pedagogical implications. Based on an existing Chinese academic wordlist, this study analyzes 1,000 texts from THCI and TSSCI Core journals using the CORPRO corpus tool to construct lexical co-occurrence networks. The lexical items are classified into three categories: academic content words, academic discourse-function words, and general function words. The analysis mainly focuses on the co-occurrence network of academic content words, examining central words, co-occurrence modules, and lexical cluster structures. It also considers the co-occurrence relationships between academic content words and academic discourse-function words to explore their potential transformation into academic Chinese sentence patterns, paragraph cohesion, and discourse-function instruction. The results show that lexical co-occurrence networks not only supplements frequency-based wordlists but also reveals relational structures and modular distributions among academic content words. These findings offer valuable insights for material developers in moving from frequency-based vocabulary ordering toward a more systematic arrangement of lexical clusters, collocations, and discourse functions. Furthermore, this study proposes methodological and practical implications for applying lexical co-occurrence networks to vocabulary organization in Chinese for Academic Purposes teaching materials.