本文在計算機語言處理與古代漢語詞匯研究的交叉學(xué)科領(lǐng)域進行了新的探索，提出
了一種基于計算機自動分詞的詞匯處理及量化統(tǒng)計方法，并給出了具體的實現(xiàn)方式。統(tǒng)計結(jié)果顯示，古代漢語雙音詞比重自先秦以來以一種平穩(wěn)的方式增長，該結(jié)論與古代漢語詞匯研究成果一致。本文提出的方法具有良好的合理性和高效的處理性能，在一定程度上克服了傳統(tǒng)人工分詞方法的缺陷和不足，因而計算機自然語言處理在古代漢語研究中也有重要的應(yīng)用價值。1
關(guān)鍵詞：計算機自然語言處理；中文信息處理；自動分詞

Abstract：A novel interdisciplinary study on the ancient Chinese Vocabulary and computer language processing is present. A computer-based word automatic segmentation for ancient Chinese Vocabulary is proposed and the quantitative statistical method is introduced. The statistical results show that the proportion of the ancient Chinese disyllabic words increases in a stable and progressive way since the Pre-Qin Dynasty, which is consistent with the studies on the ancient Chinese Vocabulary. Therefore, the methods are reasonable and efficient, and overcome defects and deficiencies of the artificial segmentation and statistics methods.
Key words：computer language processing；Chinese information processing；Word
automatic segmentation