语意理解中的性质语意

THE NATURAL LANGUAGE’S MEANING IN THE UNDERSTANDING OF THE NATUAL LANGUAGE’S MEANING

针对计算机自然语言－语意理解和语意理解中的语意歧义问题，提出了一种新的方法———性质语意，和对中西文进行性质语意的认知模型分析，确定出句子中的主体、客体以及主体对客体的语意指向，建立起一个由数字０１构成的形式化字符串，以便计算机的识别。并提出了计算机的语意识别过程，建立起性质语意下的语意理解模型。

A question on the natural language's meaning's understanding and the ambiguous natural language's meaning of the computer's understanding is presented to try to solve it with a new way to study. That is the basement of the natural language's meaning (BNLM). So the Chinese and Western languages can be analyzed to develop the sentence's BNLM. The sentence's subject's thing (ST), object's thing (OT) and the ST pointing to the OT's meaning trend can be determined, a set of the number zero and one's form will be set up so that the computer should identify it. At last the identifying's process of the computer's meaning's recognizing is proposed and the BNLM's understanding of the model's natural language's meaning is set up.