Electronic equipment and sentence processing method thereof

Abstract

The invention provides electronic equipment and a sentence processing method thereof, which can generate a law for acquiring an attribute of an input sentence only aiming at key words having great contribution degree for obtaining the attribute of the input sentence. The sentence processing method comprises the following steps: storing N training sentences, wherein attributes of a part of phrases in each of the N training sentences are marked; dividing the N training sentences into M training sentence sets according to the attributes marked for the part of phrases; aiming at each word obtained through word segmentation processing for the training sentences, judging whether a specific word whose relation between statistical results of the same word in each training sentence set satisfies a specified condition exists, and determining the specific word as the key word; for the determined key word, generating the rule based on the part of phrases in each training sentence and the attributes marked for the part of phrases. And thus the processing efficiency can be improved and the calculation resource can be saved on the premise of not affecting the accuracy degree of the obtained attribute.

Description

technical field [0001] The invention relates to an electronic device and a sentence processing method in the electronic device. Background technique [0002] In the sentence classification method of the prior art, a plurality of training sentences are used (partial phrases in each training sentence mark the attributes of the part of the phrases) to generate a rule for obtaining the attributes of the input sentence, thereby passing the generated rule to get the attributes of the input sentence. In the process of generating the rule, for each word obtained by performing word segmentation on the training sentence, a rule is generated based on the partial phrases in each training sentence and the attributes marked on the partial phrases. [0003] However, for each word generation rule obtained by performing word segmentation on the training sentence, the calculation amount required for the rule generation process will increase significantly, reducing execution efficiency and wa...

AI Technical Summary

Problems solved by technology

[0003] However, if each word generation rule is obtained by performing word segmentation processing on the training sentence, the amount of calculation required for the rule generation process will increase significantly, reducing execution efficiency and wasting computing resources.

Moreover, when using the rules generated in this way to obtain the attributes of the input sentence, since there are many generated rules, the amount of calcu

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