This paper introduces KSW, a Khmer-specific approach to keyword extraction
that leverages a specialized stop word dictionary. Due to the limited
availability of natural language processing resources for the Khmer language,
effective keyword extraction has been a significant challenge. KSW addresses
this by developing a tailored stop word dictionary and implementing a
preprocessing methodology to remove stop words, thereby enhancing the
extraction of meaningful keywords. Our experiments demonstrate that KSW
achieves substantial improvements in accuracy and relevance compared to
previous methods, highlighting its potential to advance Khmer text processing
and information retrieval. The KSW resources, including the stop word
dictionary, are available at the following GitHub repository:
(this https URL).

该论文介绍了一种针对高棉语的关键词提取方法 KSW，利用了专门的停用词词典，并通过实施预处理方法来去除停用词，从而提高有意义的关键词的提取效果。实验证明，与先前方法相比，KSW 在准确性和相关性方面取得了显著的改进，彰显了其推进高棉语文本处理和信息检索的潜力。KSW 资源，包括停用词词典，可在以下 GitHub 仓库中获取：（此 https URL）。