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An English vocabulary detection method based on word frequency sorting and equidistant word retrieval

A detection method and equidistant technology, applied in natural language data processing, special data processing applications, instruments, etc., can solve the problems of long forming cycle and parameter calculation dependence of detection methods.

Pending Publication Date: 2019-03-05
BEIJING BOZHITIANXIA INFORMATION TECH CO LTD
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Problems solved by technology

The disadvantage of this method is that the parameter calculation of each word depends on the actual detection data collection, and the forming cycle of the detection method is long

Method used

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  • An English vocabulary detection method based on word frequency sorting and equidistant word retrieval
  • An English vocabulary detection method based on word frequency sorting and equidistant word retrieval
  • An English vocabulary detection method based on word frequency sorting and equidistant word retrieval

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example

[0012] Combined with a specific example method, the operation process steps are as follows:

[0013] 1) Select the corpus and count the number of occurrences of each word;

[0014] 2) Sort all words according to word frequency from high to low, and record the word frequency ranking of each word;

[0015] 3) According to the needs, determine the word-taking distance when taking words at equal intervals and grouping them, and divide all words into several groups;

[0016] 4) When testing vocabulary, take a group of words as sample representatives for testing, and record the mastery of each word by the tested person;

[0017] 5) Sort the group of words according to the word frequency from high to low, and find the key words that meet the conditions. The word frequency ranking of this word is the vocabulary size of the testee.

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Abstract

When testing English vocabulary, we usually simulate the whole vocabulary with a small number of words by sampling, which can be divided into two forms of fixed and unfixed. Fixed sampling is the selection of fixed words from the whole vocabulary, which can not be tested many times, so that the vocabulary can not be tracked. Non-fixed sampling method is to calculate the parameters of each word. Inthe test process, the next question is generated according to the test results and parameters of each question. The disadvantage of this method is that the parameter calculation of each word dependson the actual detection data collection, and the molding cycle of the detection method is longer. Based on the word frequency sorting and the equidistant word retrieval, an English vocabulary detection method is proposed. The method can avoid the long period of data collection and parameter simulation, realize the multiple tests, and track the vocabulary changes of the same detected object in different training stages.

Description

technical field [0001] Vocabulary detection based on word frequency sorting and equidistant word selection is a method of English vocabulary detection, and the invention belongs to the field of computer-aided English education. Background technique [0002] When detecting English vocabulary, it is not feasible to exhaustively enumerate all the English words mastered by the tested object due to the order of magnitude of English words. Therefore, when testing English vocabulary, the commonly used method is to sample the lexicon, and simulate the overall vocabulary through the mastery of the sampled words by the tested object. Generally, detection methods are divided into two forms: fixed or non-fixed. Fixed sampling is to select fixed words from the overall lexicon to detect the vocabulary of the detected object. This method is only applicable to the case of a single test. For the same detected object, using the same test content in multiple tests will cause It affects the a...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/216
Inventor 杜昶旭韩婧妍刘月玮
Owner BEIJING BOZHITIANXIA INFORMATION TECH CO LTD
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