CAJ | 학술논문

运用相关性理论,建立1200多万字的当代汉语政教类公文抽样语料库,在对语料库进行分词、标注等加工的基础上,对其中词语的二元相关性组合进行了抽样统计分析,以此为基础对双音节缩略语进行识别和抽取,获得了比较理想的结果,为缩略语的自动识别和公文自动理解提供了新的思路和方法。
운용상관성이론,건립1200다만자적당대한어정교류공문추양어료고,재대어료고진행분사、표주등가공적기출상,대기중사어적이원상관성조합진행료추양통계분석,이차위기출대쌍음절축략어진행식별화추취,획득료비교이상적결과,위축략어적자동식별화공문자동리해제공료신적사로화방법。
According to the correlation theory,this paper establishes a contemporary Chinese political and educational documents corpus which has more than 12 million words.The data are analyzed based on the corpus segmentation,tagging and processing.The results of identifying and extracting double syllable abbreviations based on the statistics and analysis are satisfactory,which provides more ideas and methods for the automatic identification of abbreviations and understanding of the official documents.