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A method of generating topics for rapid expressive force test

A test generation and question technology, applied in the field of machine learning, can solve problems such as low efficiency and large subjective factors of the question maker, so as to reduce the difficulty, reduce manual labor, and improve the efficiency of question generation.

Active Publication Date: 2020-12-18
上海擅择教育科技有限公司
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Problems solved by technology

[0003] An object of the present invention is by proposing a kind of method for quick expressiveness test generating title, to solve the title of present quick expressiveness test proposed in the above-mentioned background technology completely by artificial proposition, efficient is low, and has bigger Defects of the subjective factors of the question maker

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  • A method of generating topics for rapid expressive force test

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Embodiment 1

[0029] refer to figure 1 , the preferred embodiment of the present invention provides a kind of method for quick expressive power test generation title, uses web crawler technology and natural language processing technology, generates the title of quick expressive power test based on computer software; The steps of this method are as follows:

[0030] S1: Use crawler technology to automatically obtain a large amount of language materials from the Internet, then filter and classify these language materials, and store them in the data warehouse; specifically, the filtering and classification operations involved in the above process are aimed at filtering out content that is not Language materials suitable as test questions.

[0031] S2: Perform word frequency statistics and part-of-speech extraction in the language materials after word segmentation obtained in S1;

[0032] S3: Use the TextRank algorithm to perform an automatic summary operation on each language material obtaine...

Embodiment 2

[0045] A preferred embodiment of the present invention provides a method for generating a topic for a fast expressiveness test, using web crawler technology and natural language processing technology, and generating a topic for a fast expressiveness test based on computer software; the steps of the method are as follows:

[0046] S1: Use crawler technology to automatically obtain a large amount of language materials from the Internet, then filter and classify these language materials, and store them in the data warehouse;

[0047] S2: Perform word frequency statistics and part-of-speech extraction in the language materials after word segmentation obtained in S1;

[0048] S3: Use the TextRank algorithm to perform an automatic summary operation on each language material obtained in S1, and this operation obtains a list B, including sentences reordered by TextRank values ​​and their corresponding TextRank values;

[0049] S4: For the list B obtained in S3, extract the top 50% sen...

Embodiment 3

[0061] A preferred embodiment of the present invention provides a method for generating a topic for a fast expressiveness test, using web crawler technology and natural language processing technology, and generating a topic for a fast expressiveness test based on computer software; the steps of the method are as follows:

[0062] S1: Use crawler technology to automatically obtain a large amount of language materials from the Internet, then filter and classify these language materials, and store them in the data warehouse;

[0063] S2: Perform word frequency statistics and part-of-speech extraction in the language materials after word segmentation obtained in S1;

[0064] S3: Use the TextRank algorithm to perform an automatic summary operation on each language material obtained in S1, and this operation obtains a list B, including sentences reordered by TextRank values ​​and their corresponding TextRank values;

[0065] S4: For the list B obtained in S3, extract the top 50% sen...

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Abstract

The invention relates to the technical field of machine learning, in particular to a method for generating topics for a rapid expression ability test, and aims to solve the problems that the artificial proposition efficiency of the existing expression ability test is low, human factor deviation exists, and a large amount of manpower and time costs are often consumed for preparing test questions once. In order to solve the problem, the invention provides a quick topic generation technology which can be used in an expression ability test, and by combining a currently popular web crawler technology and basic characteristics of an expression ability evaluation language material, effective information of a text is quickly extracted by utilizing a natural language processing technology; expression evaluation questions which are formally used are effectively helped to be generated by experts.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a method for generating questions for a rapid expressiveness test. Background technique [0002] The Rapid Expressive Test is a new oral test mode. Compared with the traditional Chinese language test, the Rapid Expressive Test has the advantages of wide application, quick test and objective evaluation. However, at present, the questions of the rapid expressiveness test are still set manually. This method is inefficient, and it often takes a lot of manpower and time to prepare a test question. Contents of the invention [0003] An object of the present invention is by proposing a kind of method for quick expressiveness test generating title, to solve the title of present quick expressiveness test proposed in the above-mentioned background technology completely by artificial proposition, efficient is low, and has bigger Defects in the subjective factors of the question ...

Claims

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Application Information

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IPC IPC(8): G06F40/289G06F40/247G06F40/216G06F40/166G06F16/34G06F16/35G06F16/951
CPCG06F16/345G06F16/35G06F16/951
Inventor 马徐骏刘嘉詹晨孟磊王浩宇褚东宇汤大业王磊
Owner 上海擅择教育科技有限公司
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