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 , w hich provides more ideas and methods for the automatic identification of abbreviations and understanding of the official documents .