CAJ | 학술논문

同义词在信息检索、自动文摘、情感分析、机器翻译等应用中都发挥着重要的作用。该文提出在大规模语料中结合潜在语义分析与上下文互信息进行同义词挖掘的方法，分析了不同的词汇上下文窗口选择、权值计算、潜在语义分析降维、余弦相似度计算在同义词抽取中的作用。实验结果表明，同义词抽取的效果明显提高。
동의사재신식검색、자동문적、정감분석、궤기번역등응용중도발휘착중요적작용。해문제출재대규모어료중결합잠재어의분석여상하문호신식진행동의사알굴적방법，분석료불동적사회상하문창구선택、권치계산、잠재어의분석강유、여현상사도계산재동의사추취중적작용。실험결과표명，동의사추취적효과명현제고。
Synonym plays an important part in many natural language processing applications, such as information retrieval, auto-matic summarization, sentiment analysis and machine translation. This paper presents a synonym mining method by combination of Latent Semantic Analysis(LSA) and context mutual information from large-scale corpus, investigating the different window-based context selection, the computation of weight, the dimensionality reduction of LSA, the cosine similarity play a part in syn-onym extraction. Experimental results show that the effectiveness of synonym extraction has improved obviously.