A Hybrid Approach for Automatic Classification of Chinese Unknown Verbs
نویسندگان
چکیده
本論文合併兩種方法預測未知動詞的詞類。第一種方法為規則法,即從訓練 語料中歸納出未知動詞組成的構詞規律,分成兩個主要的判斷方式:一、依 照未知動詞的組成的關鍵字決定其分類。二、依照未知動詞的構成組合決定 其分類。 關鍵字法首先將動詞依長度分為四組。第一組為二字詞、三字詞、四字詞、 五字以上的詞彙。在對實際語料的觀察下,發現不同詞長的動詞結構相異, 因此將語料依詞長分組。例如:三字詞可訓練出「好」、「出」兩條規則決 定動詞的詞類,其他長度的未知動詞並沒有這兩條規則,另外「化」規則不 適用於二字動詞。 規則法的第二部分為依照構成組合決定其分類。在觀察未知動詞時,發現有 部分未知動詞的組合很具有規律,我們就將訓練語料中未知動詞的組合做個 歸納,得到九種組合。在十次實驗中,規則法可以處理的未知動詞平均約為 23.19%,猜測正確的比例為 91.67%。 二、相似法為利用與未知動詞相似的例子來預測未知動詞的詞類。相似法主 要利用知網與中央研究院中文句結構樹資料庫 1.0 作為語意與詞類相似度測 量的工具。藉由計算未知動詞與已知動詞的相似度來預測未知動詞的詞類, 未知動詞的詞類為與其相似度最高的相似例子的詞類。 * 中央研究院資訊所,曾慧馨 E-mail: [email protected] 陳克健 E-mail: [email protected] + 政治大學資訊系 E-mail: chaolin@ nccu.edu.tw ** 台灣大學外文系 E-mail: [email protected]
منابع مشابه
中文動詞自動分類研究 (Automatic Classification of Chinese Unknown Verbs) [In Chinese]
We present a new method for automatic classification of Chinese unknown verbs. The method employs the instance-based categorization using the k-nearest neighbor method for the classification. The accuracy of the classifier is about 70.92%.
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عنوان ژورنال:
- IJCLCLP
دوره 7 شماره
صفحات -
تاریخ انتشار 2002