KR20110128405A - Apparatus for generating the rank of frequency, education system, and method using thereof - Google Patents

Apparatus for generating the rank of frequency, education system, and method using thereof Download PDF

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Publication number
KR20110128405A
KR20110128405A KR1020100047831A KR20100047831A KR20110128405A KR 20110128405 A KR20110128405 A KR 20110128405A KR 1020100047831 A KR1020100047831 A KR 1020100047831A KR 20100047831 A KR20100047831 A KR 20100047831A KR 20110128405 A KR20110128405 A KR 20110128405A
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word
words
basic
frequency sequence
frequency
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윤혜영
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영어와 어휘(주)
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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/06—Foreign languages
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B5/00—Electrically-operated educational appliances
    • G09B5/02—Electrically-operated educational appliances with visual presentation of the material to be studied, e.g. using film strip

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  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
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  • General Physics & Mathematics (AREA)
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Abstract

The present invention is a word extraction unit for generating a first extraction word to the n-th extraction word by extracting all of the words sequentially from the book files consisting of text; A word DB storing words in a basic form expressed in the present tense and singular form and a derivative derived from the basic form for various words; A basic word generator for searching for a basic type for the first to nth extracted words in the word DB and generating first to nth basic words formed of the basic type; Analyze the first to n-th basic words to generate a basic word set omitting duplicate words, and generate frequency sequence information sequencing each word of the basic word set based on the number of book files and the total frequency of appearance. And a frequency sequence generator for generating the frequency sequence information, wherein the frequency sequence information is information in which each word of the basic word set is arranged based on the number of book files that appear, and the total frequency of appearances when the number of book files that appear is the same. The present invention relates to a frequency sequence generating device, a learning system using the same, and a method, wherein each word of the basic word set is sorted information.
According to the present invention, a learning effect can be enhanced by providing a learner with a list of important words with high frequency of use using frequency sequence information that is sequenced by the number of book files in which words appear and the total frequency in which words appear.

Figure P1020100047831

Description

Apparatus for generating the rank of frequency, education system, and method using

The present invention relates to an apparatus for generating a frequency sequence of words necessary for each learning process, a learning system using the frequency sequence generating apparatus, and a method thereof.

Memorization of words is essential for language learning. To do this, the vocabulary, which summarizes the words necessary for each learning process, was used to intensively memorize the words for each learning process.

However, each word listed in the vocabulary can determine the importance of the word depending on its frequency of use. For example, when talking in English or reading a book in English, the be verb is much more frequently used than the move verb. That is, the importance of words with a high frequency of everyday use is more important.

Therefore, by investigating the frequency of use of words used in each learning process, extracting high frequency words, and learning important words with high frequency of use, the learning effect can be further enhanced.

Since learning the words of high importance first can increase the learning effect, there is an increasing demand for a method of extracting and ordering the frequency of use of words for use in language learning.

The problem to be solved by the present invention is a frequency sequence generating device that can provide a list of important words with high frequency of use by generating frequency sequence information that is sequenced by the number of book files in which the word appeared and the total frequency of the word appeared, frequency To provide a learning system and method using the sequence.

According to an aspect of the present invention, there is provided a frequency sequence generating device comprising: a word extracting unit configured to extract all words sequentially from book files made of text to generate first to nth extracting words; A word DB storing words in a basic form expressed in the present tense and singular form and a derivative derived from the basic form for various words; A basic word generator for searching for a basic type for the first to nth extracted words in the word DB and generating first to nth basic words formed of the basic type; Analyze the first to n-th basic words to generate a basic word set omitting duplicate words, and generate frequency sequence information sequencing each word of the basic word set based on the number of book files and the total frequency of appearance. And a frequency sequence generator for generating the frequency sequence information, wherein the frequency sequence information is information in which each word of the basic word set is arranged based on the number of book files that appear, and the total frequency of appearances when the number of book files that appear is the same. As a reference, each word of the basic word set is characterized by sorted information.

In order to solve the above problems, a learning system using frequency sequence information in which words contained in book files according to the present invention are sequenced is a problem extraction unit that extracts a word group having a high alignment order using frequency sequence information. ; And a problem providing unit for providing the extracted word group to the user in the form of a problem, wherein the frequency sequence information is information in which the words in the book files are sorted based on the number of the book files that appeared. In the case of the same words, the total frequency of appearance is information arranged on a second basis.

Frequency sequence generation method according to the present invention for solving the above problems, (a) collecting a book file (book) consisting of text; (b) generating first to extracted words to nth extracted words by sequentially extracting all words from the collected book files; (c) searching for a basic type for the first to nth extracted words in a word DB that stores words in a basic form expressed in the present tense and singular form, and a derivative derived from the basic form, for a variety of words, Generating a basic word to an nth basic word; (d) analyzing the first to nth basic words to generate a basic word set in which duplicate words are omitted; And (e) generating frequency sequence information sequencing each word of the basic word set based on the number of book files and the total frequency of appearances.

According to the present invention, a learning effect can be enhanced by providing a learner with a list of important words with high frequency of use using frequency sequence information that is sequenced by the number of book files in which words appear and the total frequency in which words appear.

1 is a block diagram illustrating an apparatus for generating a frequency sequence according to the present invention.
2 illustrates frequency sequence information generated according to the present invention.
2 is a block diagram illustrating a learning system in accordance with the present invention.
4 is a flowchart illustrating a frequency sequence generation method according to the present invention.
5 is a flowchart illustrating a learning method using frequency sequence information according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

1 is a block diagram illustrating an apparatus for generating a frequency sequence according to the present invention.

Frequency sequence generating apparatus 100 according to the present invention is a collection unit 110, a word extraction unit 120, a basic word generation unit 130, a word database (DB) 150 and the frequency sequence generation unit 140 It may further include a frequency sequence database (DB) 160 and / or storage unit 170.

The collection unit 110 collects a plurality of book files made of text. As will be described later, since the collected book files are stored in the storage unit 170, the collection unit 110 may check whether the book files being collected are book files previously collected. The collection unit 110 transfers the book files that are not collected to the word extraction unit 120 to be used to extract the words, and prevents the book files that are previously collected from being transferred to the word extraction unit 120. . By not extracting a word for a book file that has already extracted words, and extracting a word only for a book file for which words are not extracted, the frequency sequence information is inputted to the reception unit 110 whenever a new book file is obtained. Can be updated.

On the other hand, a plurality of book files may be collected by grouping each course or by each field, and book files covering all courses and all fields may be collected without being grouped.

For example, since the books of the first year middle school and the second year middle school are different, the reception unit 110 may collect book files grouped by each course of study, or may collect all the book files of all course of study. .

The storage unit 70 stores the collected book files. When the book files are collected by grouping each learning process, the storage unit 70 stores the book files by grouping each learning process. Meanwhile, the storage unit 70 may store first to n th extraction words and first to n th basic words to be described later.

FIG. 1 illustrates a case in which book files are grouped and collected. The first group Ga includes a plurality of book files A 1 to A n , and the x group Gx includes a plurality of book files. (X 1 to X n ). Although not shown in FIG. 1, the reception unit 110 may collect book files of all learning processes without grouping as described above.

The word extracting unit 120 reads a plurality of book files, and extracts the first to nth extracted words sequentially from the plurality of book files using spaces and punctuation marks. The extracted first to nth extracted words are transferred to the basic word generator 130.

The book file consists of text, and the text consists of various punctuation marks, spaces, and words. Since words and words are separated by spaces and punctuation marks, words can be sequentially extracted from book files using spaces and punctuation marks. To this end, the word extracting unit 120 includes a punctuation remover 121 for extracting a space and various punctuation marks from the read book file and removing the extracted space and punctuation marks.

The basic word generator 130 searches for the basic type for the first to nth extracted words in the word DB 150 and generates the first basic word to the nth basic word consisting of the basic type, and the comparison unit ( 32 and a conversion unit 34.

The comparing unit 32 determines whether each of the first extracted word to the nth extracted word is a basic type, and the conversion unit 34 converts the first extracted word to the nth extracted word into a basic type when it is not the basic type. It plays a role.

Word is divided into basic type and derived type, and basic word means basic type word. Basic words are words expressed in the present tense and singular. For example, in English, the basic form of the verb means the present tense verb, and the basic form of the noun means the singular noun. Past verbs, present participle, past participle, and plural nouns are all derivatives.

The word DB 150 is a database that stores words in a basic form expressed in the present tense and singular form and a derivative form derived from the basic form for various words.

As described above, the comparison unit 132 compares the first extracted word to the nth extracted word in the word DB 150 to determine whether the first extracted word or the nth extracted word is a basic type. According to the result of the determination, the conversion unit 134 does not convert the first extracted word to the nth extracted word if it is a basic type, and if the first extracted word to the nth extracted word is not the basic type, the first extracted word to the nth. Of the extracted words, non-basic words are converted into words expressed in basic form.

The frequency sequence generating unit 140 analyzes the first to nth basic words to generate a basic word set in which duplicate words are omitted, and based on the number of book files and the total frequency of appearances, each of the basic word sets Generate frequency sequence information that sequenced words.

The frequency sequence information is information in which the frequency sequence information is information in which each word of the basic word set is arranged based on the number of book files that appeared, and the basic word set based on the total frequency that appeared when the number of book files appeared is the same. Each word in is sorted information.

The frequency sequence generator 140 generates various types of frequency sequence information by sorting the first basic words to the nth basic words to generate frequency sequence information, and a method of using the frequency sequence database 160. In addition to the above-described generation methods, other methods may be used. In the frequency sequence generating apparatus 100 according to the present invention, the frequency sequence information is not limited to the above-described generation methods, and in addition, the frequency sequence information may be generated in various ways.

First, the frequency sequence generating unit 140 classifies the first basic word to the nth basic word into each book file group, and sorts each book file in alphabetical order. Thereafter, the frequency sequence generator 140 calculates the number of words duplicated for each book file and stores them. Thereafter, the frequency sequence generator 140 may acquire information about the word and the number of occurrences of the word that have appeared for each book file. After that, the frequency sequence generating unit 140 collects all the words that have appeared for each book file, but when they are collected, how many book files each word appears (number of book files) and the total number of appearances (total frequency of appearance) Frequency sequence information is generated by storing the sum) separately.

Meanwhile, the frequency sequence generator 140 may generate frequency sequence information by using the frequency sequence database (DB) 160. The frequency sequence information is generated using the frequency sequence DB 160 as follows.

The frequency sequence DB 160 is a database that stores the number of book files in which each word appears and the total frequency of appearance for each word. To this end, the frequency sequence DB 160 may have a basic word, the number of book files that appear, the total frequency of appearances, and a book file name at the time of updating, and may have a field for storing the name of the book file that additionally appears. The basic word of the field is a key field.

The frequency sequence generator 140 may include a searcher 142, an updater 144, and a provider 146. The search unit 142 reads the first basic word to the nth basic word sequentially and searches the frequency sequence DB 160 to determine whether the first basic word or the nth basic word is a new word. The updater 1444 updates the frequency sequence DB 160 using the first basic words to n-th basic words read sequentially, and the provider 146 uses the frequency sequence DB 160 to update the frequency sequence DB 160. Frequency sequence information is sequenced by the number of book files in which 1 to n-th basic words appear and the total frequency of appearance.

The search unit 142 first reads the first basic word to the nth basic word sequentially, compares the read word with the basic word stored in the frequency sequence DB 160, and does not exist in the frequency sequence DB 160. It is determined whether it is a new word or a basic word existing in the frequency sequence DB 160.

The update unit 144 inserts the read new word into the frequency sequence DB 160 as a new record if the read word is a new word according to the determination result of the search unit 142, and the number of book files that appeared and the total number that appeared. The frequency number is increased by 1 each, and the book file name to which the read new word belongs is recorded in the book file name field at the time of update.

If the word read according to the determination result of the search unit 142 is not a new word, the update unit 144 searches the frequency sequence DB 160 for the same word as the read word and reads it from the frequency sequence DB 160. Check the book file name field when updating the same word as the entered word. If the name of the book file to which the read word belongs is the same as the book file name stored in the book file name field at the time of updating, the updating unit 144 increments only the total frequency of appearance by one. On the other hand, if the name of the book file to which the read word belongs is different from the book file name stored in the book file name field at the time of updating, the updating unit 144 increases the number of book files that appear and the total frequency of appearances by one, and then reads them. The book file name to which the entered word belongs is recorded in the book file name field at the time of update.

When the above process is performed from the first basic word to the nth basic word, information on the number of book files in which the basic word appears and the total frequency in which the basic word appears for each basic word can be obtained. When all the words in the basic word field are extracted from the frequency sequence DB 160, a basic word set in which duplicate words are omitted from the first to nth basic words may be extracted.

Meanwhile, when book files are classified into groups according to each learning process, the frequency sequence DB 160 may provide a table for each group according to each learning process. For example, if a group according to each learning process is classified into a first grade middle school and a second grade middle school, two tables, “first grade middle school” and “second grade middle school” may be generated in the frequency sequence DB 160.

When the frequency sequence DB 160 is configured as described above, the provider 146 reads the frequency sequence DB 160 and generates frequency sequence information that is sorted and listed according to the frequency sequence. The frequency sequence information is a set of words sorted according to the frequency sequence, and each word is sorted on the basis of the number of book files that appear, and the total frequency of appearances when the number of book files that appear is the second criterion. Each word is a set of sorted words.

Dealing with a specific topic in a particular book file can lead to an unusually high frequency of erratic words. Therefore, if the number of book files is increased by sorting the number of book files in which the basic word appears by the first sorting criteria, the occurrence of such a problem may be prevented.

Meanwhile, even after the frequency sequence information is generated, the frequency sequence information may be newly updated by continuously collecting new book files through the collection unit 110.

2 is a diagram illustrating frequency sequence information generated according to the present invention.

Referring to FIG. 2, in the frequency sequence information, the basic words are sorted based on the number of book files that appear, and the basic words are sorted based on the total frequency of appearances when the number of book files appears is the same. can confirm.

3 is a block diagram illustrating a learning system according to the present invention.

The learning system 200 according to the present invention includes a learning server 80 as a learning system using frequency sequence information, and may further include a frequency sequence generating apparatus 100.

As described above, the frequency sequence information is information in which each word is sorted on the basis of the number of book files that appear, and the information in which each word is sorted on the basis of the total frequency of appearance when the number of book files that appear is the same. to be.

As described above, the frequency sequence generating apparatus 100 generates frequency sequence information and provides the frequency sequence information to the learning server 80. Since the frequency sequence generating apparatus 100 is the same as the frequency sequence generating apparatus 100 described with reference to FIG. 1, duplicate description thereof will be omitted.

The learning server 80 includes a problem extracting unit 81 and a problem providing unit 82, and further includes a correct answer determining unit 83, a database 85, and at least one client PC 1 to PC n . can do.

The problem extracting unit 81 extracts word groups from the frequency sequence information in the order of the highest sort order. Since the number of words included in the frequency sequence information is very large, the problem extractor 81 may extract a word group with an appropriate number according to the learning plan in order to provide an appropriate number of words to the learner according to the plan.

The problem provider 82 generates a problem using words included in the word group extracted by the problem extractor 81 and provides the generated problem to a learner using the clients PC 1 to PC n using the web. do. Meanwhile, the problem provider 82 may randomly mix the words of the word group extracted by the problem extractor 81 and provide them to the learner in the form of a problem. The learner using the clients PC 1 to PC n transmits the answers to the problems provided by the problem provider 82 to the learning server 80.

The correct answer determination unit 83 analyzes the learner's answer to determine whether the learner's answer is the correct answer, evaluates the score of the learner's answer, and stores the evaluated score in the user DB 87.

The database (DB, DB, 85) may include a configuration DB 86 and a user DB 87. User DB 87 is a database that stores information such as personal information, ID, password, ability, current learning stage, etc. for each learner, and setting DB 86 is a problem according to learning stage and ability related to operation of learning server. Database that stores configuration information about types.

Hereinafter, a frequency sequence generation method according to the present invention will be described in sequence. The frequency sequence generating method according to the present invention is a method performed by the frequency sequence generating apparatus 100 and is essentially the same function as the frequency sequence generating apparatus 100, and thus redundant description will be omitted.

4 is a flowchart illustrating a frequency sequence generation method according to the present invention.

First, the frequency sequence generating apparatus 100 collects book files composed of text (S10), extracts all words sequentially from the collected book files, and extracts the first to nth extracted words. It generates (S20).

Then, the frequency sequence generating device 100 retrieves the basic form for the first to nth extracted words from the word DB, which stores the words in a basic form expressed in the present tense and singular form and a derivative form derived from the basic form for various words. Then, the first basic word to the n-th basic word of the basic form is generated.

To this end, the frequency sequence generating apparatus 100 determines whether the first to nth extracted words are basic types using the word DB 150 (S30). If there is a word other than the basic form in the first to nth extracted words, the frequency sequence generating apparatus 100 converts the words derived from the first to nth extracted words into the basic form, respectively (S40), so that all words become the basic form. The first to nth basic words are generated (S550). On the other hand, in step S30, the basic words in the first to n-th extraction words are not converted.

The frequency sequence generating apparatus 100 analyzes the first to nth basic words and generates a basic word set in which duplicate words are omitted (S60). When generating the basic word set, the frequency sequence generating apparatus 100 calculates the number of book files and the total frequency of appearance for each word of the basic word set.

Then, the frequency sequence generating apparatus 100 generates frequency sequence information in which each word of the basic word set is sequenced based on the number of book files and the total frequency of appearances (S70).

5 is a flowchart illustrating a learning method using frequency sequence information according to the present invention. The learning method using frequency sequence information according to the present invention is a method performed in a learning system using frequency sequence information.

First, the learning system 200 extracts a word group having a high order of ranking using frequency sequence information (S80), and provides the extracted word group to a learner using the client in a problem form using the web (S90). When a learner enters an answer to a provided question at the client, the answer entered by the learner is sent from the client to the learning system.

The learner system 200 analyzes the learner's answer to determine whether the learner's answer is the correct answer (S110), evaluates the score of the learner's answer, and stores the evaluated score in the user DB 87.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like, and may be implemented in the form of a carrier wave (for example, transmission via the Internet) . The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the invention. Accordingly, the scope of protection of the present invention should be construed in accordance with the following claims, and all technical ideas within the scope of equivalents and equivalents thereof should be construed as being covered by the scope of the present invention.

Frequency sequence generator 100 learning system 200
Learning Server (80) Collector (110)
Word extractor 120 basic word generator 130
Frequency sequence generation unit 140 storage unit 170
Word Database (150) Frequency Sequence Database (160)

Claims (5)

A word extracting unit configured to extract all words sequentially from book files made of text to generate first to nth extracted words;
A word DB storing words in a basic form expressed in the present tense and singular form and a derivative derived from the basic form for various words;
A basic word generator configured to search the basic type for the first to nth extracted words in the word DB and generate first to nth basic words formed of the basic type; And
A frequency sequence in which each word of the basic word set is sequenced based on the first to nth basic words is analyzed to generate a basic word set omitting duplicate words, and based on the number of book files and the total frequency of appearances. It includes a frequency sequence generator for generating information,
The frequency sequence information is information in which each word of the set of basic words is arranged based on the number of appeared book files as a first criterion, and when the number of appeared book files is the same, the basic frequency based on the total frequency of appearances as a second criterion is used. Frequency sequence generator, characterized in that each word of the word set is sorted information. The method of claim 1,
The book files are classified into groups according to each learning process.
The frequency sequence generator generates frequency sequence information for each group according to the learning process. The method of claim 1, wherein the frequency sequence generating device
And a storage unit for storing the book files collected by the reception unit. A frequency sequence generating method in a frequency sequence generating device for generating frequency sequence information in which words in book files are sequenced,
(a) collecting book files of text;
(b) generating first to extracted words to n-th extracted words by sequentially extracting all words from the collected book files;
(c) searching for a basic form for the first to nth extracted words in a word DB that stores words in a basic form expressed in the present tense and singular form and a derivative derived from the basic form for various words, Generating a first basic word to an nth basic word;
(d) analyzing the first to nth basic words to generate a basic word set in which duplicate words are omitted; And
(e) generating frequency sequence information sequencing each word of the set of basic words based on the number of book files and the total frequency of appearances;
The frequency sequence information is information in which each word of the set of basic words is arranged based on the number of appeared book files as a first criterion, and when the number of appeared book files is the same, the basic frequency based on the total frequency of appearances as a second criterion is used. Frequency sequence generation method characterized in that each word of the word set is sorted information. The method of claim 4, wherein the book files are classified into groups according to each learning process.
The frequency sequence information generating method of the frequency sequence, characterized in that generated for each group according to the learning process.
KR1020100047831A 2010-05-24 2010-05-24 Apparatus for generating the rank of frequency, education system, and method using thereof KR20110128405A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160000384A (en) * 2014-06-24 2016-01-04 안인숙 Making-Method of Materials for Learning Sino-Korean Word using Database
KR20210115879A (en) * 2020-03-16 2021-09-27 주식회사 이드웨어 Method and apparatus for training language skills for older people using speech recognition model

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20160000384A (en) * 2014-06-24 2016-01-04 안인숙 Making-Method of Materials for Learning Sino-Korean Word using Database
KR20210115879A (en) * 2020-03-16 2021-09-27 주식회사 이드웨어 Method and apparatus for training language skills for older people using speech recognition model

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