CAJ | 학술논문

为解决识别哈萨克语基本短语的问题，提出一种基于条件随机场模型的哈萨克语基本短语自动识别方法。利用基于贪心策略的特征模板自动选择算法，结合哈萨克语基本短语的特点，从众多上下文特征中选取出合适的特征；每次从备选特征模板中挑选出局部最优的特征模板项，加入到最终的特征模板中，进一步提高识别准确率。实验结果表明，该方法的识别准确率和召回率分别达到了89.01％和84.07％。
위해결식별합살극어기본단어적문제，제출일충기우조건수궤장모형적합살극어기본단어자동식별방법。이용기우탐심책략적특정모판자동선택산법，결합합살극어기본단어적특점，종음다상하문특정중선취출합괄적특정；매차종비선특정모판중도선출국부최우적특정모판항，가입도최종적특정모판중，진일보제고식별준학솔。실험결과표명，해방법적식별준학솔화소회솔분별체도료89.01％화84.07％。
To solve the problem of identifying Kazakh basic phrases ,an automatic identification method was presented based on conditional random fields .There are many features around the context in the process of identification ,and an automatic selection method of feature template based on the greedy algorithm was adopted to select features to combine with characters of Kazakh base phrases .In this algorithm ,relatively best feature items were added to the final feature template at each time ,and the recog-nition precision was improved .Experimental results show the recognition precision and the recall rate reach 89.01% and 84.07%respectively .