English grammar library packaging and read-write method based on MongoDB

Abstract

The invention provides a syntactic phenomenon semi-structured data storage and calling method based on MongoDB, which is used for carrying out semi-structured storage on related syntactic knowledge point data generated by textbooks or extracurricular reading materials and the like used in an education process, and a corresponding reading and calling method. The MongoDB-based primary school English grammar library encapsulation can help people to carry out semi-structured storage on grammar knowledge, and the whole encapsulation process is automatically carried out by a program without human intervention. Meanwhile, according to the packaged grammar library, when a user needs to inquire a certain knowledge point, screening can be conducted according to corresponding level information, for example, checking of related knowledge points on corresponding textbooks can be conducted according to grades, and therefore all results can be returned at a time, and the consumed time is very short. Meanwhile, the grammar library can help a teacher to automatically generate related knowledge point test questions.

Description

technical field [0001] The invention belongs to MongoDB-based semi-structured data storage and calling, and specifically relates to a construction method for semi-structured storage of grammatical phenomenon results obtained by analyzing English texts. Patent 1: Automatically analyze the grammatical phenomenon of English text to obtain the form such as: sentence->morphology->->...->leaf node, or sentence->syntax->->...->leaf node (each The output form of a grammatical phenomenon is a record from the root node to the leaf node of the grammatical tree), which is semi-structured and stored in MongoDB, and then encapsulated according to the grammatical type, and related reading and writing implementation methods are provided. Background technique [0002] In the current domestic education process, the explanation and learning of English grammar knowledge test points mainly depend on the scope encountered in the course or in the exercises, and it is not po...

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Problems solved by technology

[0004] Existing related theoretical research has not yet provided a method for encapsulating and processing English grammar knowledge points, but only includes other data processing, such as CN 104021210 A patent, which provides a semi-structured storage of geographic data in GeoJSON format The geographic data reading and writing method of the MongoDB cluster is a storage solution for geographic data. In addition, semi-structured storage methods for other types of data have not been proposed

For other methods of summarizing grammar knowledge points, manual marking is mainly used, and the teacher who teaches the lectures will explain the articles or topics encountered, and there are few systematic guidance on the summarization process.

[0005] The existing technology lacks the packaging and processing methods for English grammar knowledge points and the corresponding reading, writing and calling methods, that is, lacks the construction of a suitable semi-structured framework for grammar knowledge, and thus lacks a database for systematically sorting out the various grammar knowledge points in English Correspondingly, there is no way to support the extended functions based on this database, such as: relying on this database to automatically generate test questions for relevant knowledge points, unified learning of a certain type of knowledge points in relevant grades, etc.

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