Short sentence analytic model establishing method and system
A technology for analyzing models and establishing methods, which is applied in special data processing applications, instruments, and electrical digital data processing, etc., can solve problems such as difficult to simulate language constraint relationships, and the accuracy of recognition and analysis of short sentences is not high enough, so as to achieve the goal of improving accuracy Effect
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Embodiment 1
[0045] Such as figure 1 As shown, the short sentence parsing model building method of the present embodiment comprises the following steps:
[0046] S 1 , get the original sentence;
[0047] S 2 , Segment the original sentence into word sequences;
[0048] S 3 , assigning a part of speech to each word in the word sequence according to the pre-stored part of speech rule;
[0049] S 4 , Identify named entities according to each word and its part of speech. Named entities include person names, place names, and institution names;
[0050] S 5 1. Identify the grammatical components of each word in the original sentence according to each word, part of speech and named entity;
[0051] S 6, Analyzing the dependencies among the various grammatical components;
[0052] S 7 , According to the dependency relationship between each grammatical component, extract the grammatical component as a feature;
[0053] S 8 1. Construct the extracted features into a feature vector, and ...
Embodiment 2
[0061] refer to figure 2 As shown, the short sentence parsing model building system of the present embodiment includes a sentence segmentation module 1, a part-of-speech assignment module 2, a named entity recognition module 3, a grammatical component recognition module 4, a dependency analysis module 5, a feature Combine module 6 and a storage module 7 .
[0062] The sentence segmentation module is used to obtain the original sentence and segment the original sentence into word sequences. The part-of-speech assigning module is used to assign a part-of-speech to each word in the word sequence according to the pre-stored part-of-speech rules. The named entity recognition module is used to recognize named entities according to each word and its part of speech, and named entities include person names, place names, and organization names. The grammatical component identification module is used to identify the grammatical components of each word in the original sentence accordin...
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