“中文 + 人工智能”职业核心汉语词表构建研究

Research on the Construction of a Core Chinese Vocabulary List for “Chinese + Artificial Intelligence” Careers

摘要: 本文立足“中文 + 职业技能”教育需求，聚焦人工智能领域，构建“中文 + 人工智能”职业核心汉语词表。研究选取人工智能本科五门核心课程，从课程视频、教材、期刊论文三类语料中提取术语。经语料转换、清洗分词后，以词频(≥40次)、专业性(排除HSK一到六级通用词)、跨子语料库分布(覆盖4个以上)为标准筛选，结合人工审核剔除非专业词汇，最终形成含365个词语的核心词表。研究弥补了现有“中文 + 职业技能”人工智能行业教学资源不足的问题，为“中文 + 人工智能”教学提供专业词汇参考。

Abstract: Based on the educational demand for “Chinese + Professional Skills”, this study focuses on the field of artificial intelligence and constructs a core Chinese vocabulary list for “Chinese + Artificial Intelligence” professions. Five core undergraduate courses in artificial intelligence are selected, and relevant terms are extracted from three types of corpora: course videos, textbooks and academic papers. After corpus conversion, cleaning and word segmentation, the terms are screened according to three criteria: word frequency (≥40 occurrences), professionalism (excluding general words from HSK Level 1 to Level 6), and cross-corpus distribution (covering more than 4 sub-corpora). Non-professional words are further eliminated through manual review, and a core vocabulary list containing 365 words is finally formed. This research addresses the shortage of teaching resources for “Chinese + Professional Skills” in the artificial intelligence industry, and provides a reference for professional vocabulary in “Chinese + Artificial Intelligence” teaching.