Mining and displaying method combining vocabulary matching extraction and semantic classification

Abstract

The invention discloses a mining and displaying method combining vocabulary matching extraction and semantic classification, and belongs to the field of natural language processing and language learning application. The method comprises: extracting and filtering word collocation by using a deep learning-based dependency syntax semantic model and a statistical method; in combination with the sorted word classification and the extracted collocation, calculating a many-to-many collocation matrix; screening, sorting and recombining the collocation words and the word classification according to the collocation density; displaying the finally obtained word classification matching matrix in an m*n or m*n*o card form; and the cards are displayed according to a hierarchical sequence of lexical semantic classification. Through the method, a collocation and vocabulary classification system with more general significance and a many-to-many word classification collocation matrix display form can be obtained, the display form is visual and vivid, the information density is large, and systematic learning of language vocabularies is facilitated through a semantic and pragmatic combination grouping mode.

Description

technical field [0001] The invention relates to resources, books and software production methods in the natural language processing field and the language learning application field. Specifically, collocation extraction and screening methods involving deep learning-based dependency syntactic semantic analysis and statistical methods; mutual verification algorithms involving word classification and collocation; many-to-many link cards and card books (paper books, e-books, language learning software). Background technique [0002] Collocation extraction is a classic topic in natural language processing. Word collocation refers to the linguistic phenomenon of using words together, which is a typical co-occurrence behavior between words (Firth, 1957, Papers in Linguistics 1934-1951. London: Oxford University Press). The typicality of word collocations depends on the probabilistic properties of the collocations, since any collocation is possible, but some are more appropriate t...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies in the prior art, the present invention provides a method for lexical collocation extraction and semantic classification. From the perspectives of syntax, semantics and pragmatics, the method self-consistently solves the problem of optimal selection of general collocations and word classification

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