KR101302875B1 - Learning System of English Sentences Having Easy Recognition of Sentence Structure Through Symbolic Processing - Google Patents

Abstract

The present invention relates to an English sentence direct reading learning system for effectively grasping and understanding the English sentence, and more particularly by analyzing the English sentence by sentence component or part of speech and displaying sentence data with symbols specific for each sentence component or part of speech. It is about learning system that can directly recognize English sentence by recognizing sentence structure through symbol processing which can grasp sentence structure quickly and easily and learn English grammar naturally through continuous repetitive learning.
To this end, the present invention provides a direct reading system for English sentences in which the learner can easily recognize the structure of the English sentence, the direct reading system for English sentences input the English sentence to be analyzed by the learner and the structure of the analyzed English sentence Learner terminal for receiving the symbol processing sentence data for; The symbol processing module unit connected to the learner terminal through a communication network to receive the sentence data to be analyzed by the learner, and assigns and displays corresponding symbols according to the sentence components or parts of speech for each word or phrase constituting the sentence data. The symbol processing module unit comprises: a data receiving unit receiving sentence data from the learner terminal; Receives sentence data from the data receiver, and analyzes sentence components consisting of two or more combinations of predicate, object, bore, and other formula words to determine any sentence form among the first to fifth forms, and accordingly A structural analysis unit for generating first result data in component and sentence form; Receiving the first result data analyzed the sentence component and sentence format of the sentence data through the structure analysis unit includes a noun, a verb, a modifier, an infinitive, a noun, a participle, a comparative level, an equal conjunction, a conjunction, a relative pronoun, a relative adverb. A part-of-speech analysis unit configured to generate second result data for classifying sentence data by part-of-speech by analyzing sentence components using any one or a combination of parts-of-speech groups; A symbol display unit which receives the first result data and the second result data from the structural analysis part and the part-of-speech analysis part to generate a symbol processing sentence data by displaying a specific symbol for each part-of-speech; And a data transmission unit for receiving the symbol processing sentence data from the symbol display unit and transmitting the symbol processing sentence data to the learner terminal.

Description

Learning System of English Sentences Having Easy Recognition of Sentence Structure Through Symbolic Processing}

The present invention relates to an English sentence direct reading learning system for effectively grasping and understanding the English sentence, and more particularly by analyzing the English sentence by sentence component or part of speech and displaying sentence data with symbols specific for each sentence component or part of speech. It is about learning system that can directly recognize English sentence by recognizing sentence structure through symbol processing which can grasp sentence structure quickly and easily and learn English grammar naturally through continuous repetitive learning.

In general, interest in foreign languages as well as Korean languages is increasing in the current globalization trend. In particular, as a first foreign language, a great number of learning methods and teaching materials have been developed and provided to learners.

An important item of learning English is to have the ability to speak, write, listen and read through English as naturally as a native speaker of an English speaking country.

Therefore, most of the English learning method and teaching materials are to have the same language skills as the native speakers.

However, in reality, the grammar (word order) of the Korean language and the English language is completely different, and learners have a problem that efficient learning does not proceed due to the familiar Korean grammar and other English grammar.

In addition, most of the current English learning methods are based on memorized words and idioms based on the example sentences where the words and idioms are used. Words, idioms, and grammar that are considered to be important for each developer (or author) are different, and learners can not selectively proceed with their own learning.

For example, learners can learn English at any time and place, regardless of time and place, so that they can learn English in the best condition, and not in the order set by the developer. Enabling learning English can be said to be an efficient way of learning English.

In addition, it should be able to improve the learning efficiency by allowing the English learning to focus on parts of speech, for example, verbs and adverbs / prepositions, which are important in English grammar.

Therefore, an efficient and appropriate way of learning English should be developed for learners.

The present invention has been devised to solve the above problems and by analyzing the English sentence by sentence component or part of speech and by displaying the sentence data with symbols specific for each sentence component or part of speech, it is possible to quickly and easily grasp the sentence structure and continue The purpose of this study is to provide a direct reading system for English sentences that can easily recognize sentence structure through symbol processing that enables students to acquire English grammar naturally through repetitive learning.

The present invention has the following features to achieve the above object.

English sentence direct reading learning system according to an embodiment of the present invention is a learner terminal for inputting the English sentence to be analyzed by the learner and receiving the symbol processing sentence data for the structure of the analyzed English sentence; The symbol processing module unit connected to the learner terminal through a communication network to receive the sentence data to be analyzed by the learner, and assigns and displays corresponding symbols according to the sentence components or parts of speech for each word or phrase constituting the sentence data. The symbol processing module unit comprises: a data receiving unit receiving sentence data from the learner terminal; Receives sentence data from the data receiver, and analyzes sentence components consisting of two or more combinations of predicate, object, bore, and other formula words to determine any sentence form among the first to fifth forms, and accordingly A structural analysis unit for generating first result data in component and sentence form; Receiving the first result data analyzed the sentence component and sentence format of the sentence data through the structure analysis unit includes a noun, a verb, a modifier, an infinitive, a noun, a participle, a comparative level, an equal conjunction, a conjunction, a relative pronoun, a relative adverb. A part-of-speech analysis unit configured to generate second result data for classifying sentence data by part-of-speech by analyzing sentence components using any one or a combination of parts-of-speech groups; A symbol display unit which receives the first result data and the second result data from the structural analysis part and the part-of-speech analysis part to generate a symbol processing sentence data by displaying a specific symbol for each part-of-speech; And a data transmission unit for receiving the symbol processing sentence data from the symbol display unit and transmitting the symbol processing sentence data to the learner terminal.

In addition, the English sentence direct reading learning system according to another embodiment of the present invention is a learner terminal for inputting the English sentence to be analyzed by the learner and generating symbol processing sentence data for the structure of the analyzed English sentence; When the learner terminal requests through the communication network to enable data communication with the learner terminal, the analysis server for transmitting a symbol processing module program for assigning and displaying the corresponding symbols according to the sentence components or parts of speech for each word or phrase constituting the sentence data It consists of; comprising, a symbol processing module program received by the learner terminal is installed in the corresponding learner terminal, the symbol processing module to generate the symbol processing sentence data by inputting the English sentence to be analyzed, the symbol processing module is the A data receiver which receives the sentence data to be analyzed by the learner through the input means of the learner terminal; Receives sentence data from the data receiver, and analyzes sentence components consisting of two or more combinations of predicate, object, bore, and other formula words to determine any sentence form among the first to fifth forms, and accordingly A structural analysis unit for generating first result data in component and sentence form; Receiving the first result data analyzed the sentence component and sentence format of the sentence data through the structure analysis unit includes a noun, a verb, a modifier, an infinitive, a noun, a participle, a comparative level, an equal conjunction, a conjunction, a relative pronoun, a relative adverb. A part-of-speech analysis unit configured to generate second result data for classifying sentence data by part-of-speech by analyzing sentence components using any one or a combination of parts-of-speech groups; A symbol display unit which receives the first result data and the second result data from the structural analysis part and the part-of-speech analysis part to generate a symbol processing sentence data by displaying a specific symbol for each part-of-speech; And a data transmission unit receiving the symbol processing sentence data from the symbol display unit and providing the symbol processing sentence data to the learner through the output means of the learner terminal.

' 기호를 표시한다.Here, the learner terminal is preferably any one selected from a computer terminal, a PDA, a PMP, a cellular phone, or a smartphone, and the symbol display part is underlined at the lower side of the word or phrase when the classified sentence component or part of speech is a verb. If the classified sentence component or part of speech is a modifier, the '/' symbol is displayed on the front side of the word or phrase, and if the classified sentence component or part of speech is a same name, the 'ing' part of the word or phrase Is a circle that accepts it, and the front of the 'ing' is underlined on the lower side.If the classified sentence component or part of speech is a participle, the noun on the front or rear side of the word or phrase modifies the word or phrase. Draw an arrow on the upper side in the direction, and if the classified sentence component or part of speech is a spray phrase,

'Sign.

'기호를 함께 표시한다.In addition, the symbol display unit displays a '△' symbol in the 'as' or 'than' portion of the word or phrase when the classified sentence component or part of speech is comparative, and the classified sentence component or part of speech is an conjunction Display the symbol △ or ○ to accept the word or phrase, and if the classified sentence component or part of speech is a relative pronoun or a relative adverb, display the symbol ○ to accept it in the word or phrase. Pronoun or relative adverb forward

'Together with the symbol.

'기호를 표시한다.In addition, the symbol display unit, if it is determined that the conjunction, relative pronoun or relative adverbs are omitted from the first result data and the second result data transmitted from the structural analysis part and the part-of-speech analysis part at the omitted position of the sentence data. For conjunctions, the symbol '∨' is used, and if it is a relative pronoun or relative adverb,

'Mark the symbol.

'기호를 표시한다.
In addition, the symbol display part is classified sentence component or part of speech is determined as a modifier, and the sentence component or part of speech classified in front of the modifier is the same name, comparative, conjunction, relative pronoun or relative adverb is located, or a comma that is a punctuation mark in front If the modifier is at the beginning of a sentence, it must appear at the front of the word or phrase,

'Mark the symbol.

According to the present invention, a learner can access an analysis server through a computer terminal or a portable terminal and proceed to learn English sentences regardless of time and place, and grasp sentence structure by marking each sentence component or part of speech through a symbol display. This has the effect of rapid and accurate learning.

1 is a diagram showing a schematic configuration of a direct reading system of the English sentence direct reading according to an embodiment of the present invention.
Figure 2 is a block diagram showing the internal structure of the English sentence direct reading learning system according to an embodiment of the present invention.
3 is an exemplary view of sentence data on which symbol display is performed according to the present invention.
4 is a diagram illustrating a schematic configuration of an English sentence direct reading learning system according to another embodiment of the present invention.

Hereinafter will be described in detail with the accompanying drawings for the English sentence direct reading learning system according to the present invention.

1 is a view showing a schematic configuration of an English sentence direct reading learning system according to the present invention, Figure 2 is a block diagram showing the internal configuration of the English sentence direct reading learning system according to the present invention.

Referring to the drawings, the English sentence direct reading learning system according to the present invention is a learner terminal 100 receiving a symbol processing sentence data for the structure of the structure of the English sentence and input the English sentence to be analyzed by the learner large, and the The symbol processing is connected to the learner terminal 100 through a communication network so that the learner receives the sentence data to be analyzed by the learner and assigns and displays the corresponding symbol according to the sentence component or part of speech of the word or phrase constituting the sentence data. It is composed of an analysis server 200 having a module unit (210).

Here, the learner terminal 100 is provided to receive a symbol processing sentence data by inputting an English sentence that the learner wants to analyze. The learner terminal 100 has an input means such as a keyboard or a mouse and a voice such as a monitor or a speaker. And image output means.

The learner terminal 100 may be applied to a computer terminal, a notebook, a PDA, PMP, a cellular phone or a smart phone, and the like, in addition to the analysis server 200 and the communication means that can be connected to each other through a communication network and data input means and Of course, if the terminal having an output means can be adopted as the learner terminal 100 according to the present invention.

On the other hand, the analysis server 200 is connected to the learner terminal 100 through a communication network to enable data communication is provided to generate and provide the symbol processing sentence data to the learner terminal 100, such an analysis server 200 The symbol processing module 210 is mounted.

The symbol processing module 210 analyzes and classifies the sentence data received from the learner terminal 100 for each sentence component or part of speech, and displays a specific symbol for each sentence component or part of speech. To identify and recognize.

The symbol processing module unit 210 receives the sentence data from the learner terminal 100 and the sentence data received from the data receiver 211, and receives the sentence data from the data receiver 211, predicates, objects, bore and other formula words A structural analysis unit 212 for analyzing a sentence component composed of two or more combinations of the two to determine a sentence form of the first to fifth forms, and generating first sentence data of the sentence component and sentence form according to the sentence component; Receiving the first result data analyzed the sentence component and sentence format of the sentence data through the structural analysis unit 212, nouns, verbs, modifiers, infinitives, nouns, participles, comparative, equal rank conjunctions, conjunctions, relative pronouns, Analyze sentence components using any one or a combination of parts-of-speech groups including related adverbs to generate second result data for classifying sentence data by parts of speech. The first part data and the second result data are received from the part-of-speech analyzing unit 213 and the structural analysis unit 212 and the part-of-speech analyzing unit 213 to display a specific symbol for each part-of-speech in sentence data. A symbol display unit 214 for generating data and a data transmission unit 215 for receiving symbol processing sentence data from the symbol display unit 214 and transmitting the symbol processing sentence data to the learner terminal 100.

Here, the data receiver 211 is provided to receive the sentence data input by the learner from the learner terminal 100 and retransmit it to the structure analysis unit 212.

In addition, the structure analysis unit 212 generates first result data for determining the sentence component and sentence format of the sentence data, wherein the sentence format is composed of the first to fifth forms according to the English grammar.

Hereinafter, the first to fifth forms of the English sentence will be briefly described.

First, a sentence according to the first form consists of a subject (S) and a predicate (V), where the predicate corresponds to a fully automatic verb.

Fully intransitive verbs can be expressed only in verbs, meaning verbs that do not require a bore.

For example, the fully automatic verb is a verb such as fly, fight, grow, smile, sneeze, cough, rise, twinkle, weep, etc.

『Time flies.

I go to church on Sundays.

Stars twinkle in the dark sky.

In summer I go out for a walk to the seashore after dinner.

Nowadays farming doesn't pay. 』

Such as this.

Second, the second form sentence consists of the subject (S), the predicate (V) and the bore (C), where the predicate is an incomplete intransitive verb that requires a bore because the verb cannot be fully expressed.

Such incomplete automatic verbs include be, become, get, feel, grow, go, taste, smell, look, seem, turn, sound, and keep.

『He is a soldier.

He become a composer.

He remained silent.

Helen looks happy.

She appears sensible. 』

And the like.

In addition, the bore (C) may be adverbs, phrases, clauses in addition to nouns, pronouns, and adjectives.

Third, the third form sentence consists of a subject (S), a predicate (V), and an object (O). In this case, the predicate is a verb that can be expressed only with the object because it requires an object to be operated as a perfect transitive verb.

Such transitive verbs include discover, catch, keep, smile, know, excuse, and the like.

『God made man.

He lived a happy life.

I dug the ground.

I dug a grave.

He overeats himself.

They love each other.

He wiped off the table. 』

And the like.

In addition, the object may be a noun, a pronoun, a noun phrase, a noun clause, and the like.

Fourth, the fourth sentence consists of the subject (S), the predicate (V), the indirect object (I.O), and the direct object (D.O), where the predicate (V) corresponds to a bestowal verb.

This bestowal verb is a kind of other verb, a verb that means something to be given and received, and requires indirect and direct objects.

For example, teach, lend, read, make, buy, ask, bring, show, give, send, write, and so forth.

『I gave her the book.

I paid him the money.

I will buy you a watch.

I asked him a question.

He played me a trick. 』

And the like.

Finally, the fifth sentence consists of the subject (S), the predicate (V), the object (O), and the object bore (OC), where the predicate is an incomplete transitive verb and requires an object bore that describes the object at the same time. It is a verb.

Such incomplete transitive verbs include make, elect, find, leave, call, name, keep, appoint, and the like.

I believe him (to be) a great scholar.

I believe him diligent.

I ordered him to go (to stay in bed / to take a rest).

I saw the suspected man enter the building.

I had him (to) build my house. 』

And the like.

As described above, the structure analysis unit 212 analyzes the sentence data received from the learner terminal 100 and determines any one of the first to fifth forms described above, and gives all words or phrases constituting the sentence data. The first result data is generated by determining sentence components using a predicate, a descriptive word, a target word, a bore, and other formula words.

The first result data generated accordingly is transmitted to the part-of-speech analysis unit 213, and the part-of-speech analysis unit 213 generates nouns, verbs, modifiers, infinitives, same-name verbs, injections, and the like for all sentence components based on the first result data. The second result data classifying the entire sentence data by the parts of speech is determined by selecting one of a plurality of parts of speech including a comparative class, a relative conjunction, a conjunction, a relative pronoun, and a relative adverb.

In addition, the symbol display unit 214 receives the first result data and the second result data from the structural analysis unit 212 and the part-of-speech analysis unit 213 to display a specific symbol for each part-of-speech in sentence data to display symbol processing sentence data. To generate, this particular symbol is underlined to the word or phrase, or displayed as an original letter or triangle, arrows, etc. The symbol according to an embodiment of the present invention is only one example, such symbol display is It may be variously adopted and displayed.

In addition, the data transmission unit 215 receives the symbol processing sentence data from the symbol display unit 214 and transmits it to the learner terminal 100.

3 is an exemplary view of sentence data on which symbol display is performed according to the present invention.

Referring to the drawings, according to an embodiment of the present invention, the symbol display unit 214 classifies by sentence component or part of speech and performs a specific symbol processing. When this is described in detail, the classified sentence component or part of speech is a verb. Underline the words or phrases.

In the case of modifiers, the symbol '/' is displayed on the front side of the word or phrase, and in the case of the same name, the 'ing' part of the word or phrase is accommodated and the underside of the 'ing' is underlined. Display.

' 기호를 표시한다.In this case, when the same name is a spray phrase, the word or phrase above the word or phrase is not processed without the underscore and the circle symbol as described above.

'Sign.

In addition, when the classified sentence component or part-of-speech is a participle, an arrow is displayed on the upper side in the noun direction of the front side or the rear side of the word or phrase that the word or phrase modifies.

In addition, if the classified sentence component or part of speech is comparative, the '△' symbol is displayed in the 'as' or 'than' part of the word or phrase.If the classified sentence component or part of speech is an conjunction, the word or phrase '△' or '○' symbol is accepted in order to display the symbol '△' if the conjunction is an equivalent conjunction, and '○' symbol if it is a subordinate connection.

'기호를 함께 표시한다.In addition, if a classified sentence component or part of speech is a relative pronoun or a relative adverb, the symbol '○' is accepted in the corresponding word or phrase, and in the forward direction of the relative pronoun or relative adverb.

'Together with the symbol.

'기호를 표시한다.In addition, the symbol display unit 214 is determined that the conjunction, relative pronouns or relative adverbs are omitted through the first result data and the second result data transmitted from the structural analysis unit 212 and the part-of-speech analysis unit 213. The symbol '접속' is displayed in the omitted position of the sentence data, and if it is a relative pronoun or a relative adverb,

'Mark the symbol.

'기호를 표시한다.
In addition, the symbol display unit 214 is a classified sentence component or part of speech is determined as a modifier, and the sentence component or part of speech classified in front of the modifier is the same name, comparative, conjunction, relative pronoun, or relative adverb is located or a comma that is a punctuation in front. In front of the word or phrase,

'Mark the symbol.

4 is a diagram illustrating a schematic configuration of an English sentence direct reading learning system according to another embodiment of the present invention.

Referring to the drawings, the present invention is capable of data communication with a learner terminal 100 and a learner terminal 100 for inputting an English sentence to be analyzed by a learner and generating symbol processing sentence data for the structure of the analyzed English sentence. When the learner terminal 100 requests through the communication network to the analysis server 200 to transmit a symbol processing module program to give the corresponding symbol displayed according to the sentence component or part of speech for each word or phrase constituting the sentence data. Is done.

Accordingly, the program is installed in the learner terminal 100 that has received the symbol processing module program, thereby generating the symbol processing module 110.

The symbol processing module 110 generated according to this embodiment is the same as the data receiving unit, the structure analyzing unit, the part-of-speech analyzing unit, the symbol processing unit, and the data transmitting unit as in the above-described embodiment, and its role and function are also the same.

As described above, the sentence data analysis process performed on the web or the mobile web is performed in the learner terminal 100, and thus, the learner terminal 100 can learn at any time even in an environment in which the learner terminal 100 is not connected online.

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 those precise embodiments, and many alternatives, modifications, and variations will be apparent to those skilled in the art. I will understand.

Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: learner terminal 110, 210: symbol processing module
200: analysis server 211: data receiving unit
212: structure analysis unit 213: parts of speech analysis unit
214: symbol processing unit 215: data transmission unit

Claims (7)

delete In the English sentence direct reading system that allows the learner to easily recognize the structure of the English sentence,
The English sentence direct reading system
A learner terminal for inputting an English sentence to be analyzed by the learner and generating symbol processing sentence data for the structure of the analyzed English sentence;
When the learner terminal requests through the communication network to enable data communication with the learner terminal, the analysis server for transmitting a symbol processing module program for assigning and displaying the corresponding symbols according to the sentence components or parts of speech for each word or phrase constituting the sentence data Including;
The symbol processing module program received from the learner terminal is installed in the corresponding learner terminal, and the symbol processing module data is generated by inputting the English sentence to be analyzed by generating the symbol processing module.
The symbol processing module unit
A data receiver receiving the sentence data to be analyzed by the learner through the input means of the learner terminal;
Receives sentence data from the data receiver, and analyzes sentence components consisting of two or more combinations of predicate, object, bore, and other formula words to determine any sentence form among the first to fifth forms, and accordingly A structural analysis unit for generating first result data in component and sentence form;
Receiving the first result data analyzed the sentence component and sentence format of the sentence data through the structure analysis unit includes a noun, a verb, a modifier, an infinitive, a noun, a participle, a comparative level, an equal conjunction, a conjunction, a relative pronoun, a relative adverb. A part-of-speech analysis unit configured to generate second result data for classifying sentence data by part-of-speech by analyzing sentence components using any one or a combination of parts-of-speech groups;
A symbol display unit which receives the first result data and the second result data from the structural analysis part and the part-of-speech analysis part to generate a symbol processing sentence data by displaying a specific symbol for each part-of-speech;
It comprises a data transmission unit for receiving the symbol processing sentence data from the symbol display unit to provide it to the learner through the output means of the learner terminal,
The learner terminal is any one selected from a computer terminal, a PDA, a PMP, a cellular phone or a smartphone.
The symbol display unit
If the classified sentence component or part of speech is a verb, underline the underside of the word or phrase.If the classified sentence component or part of the speech is a modifier, the symbol '/' appears in front of the word or phrase.
When the classified sentence component or part of speech is the same name, a circle that accepts it is indicated in the 'ing' part of the word or phrase and underlined in the lower part in front of the 'ing',
If a classified sentence component or part of speech is a participle, an arrow is drawn on the upper side in the noun direction of the front side or the rear side in which the word or phrase modifies the word or phrase.
If the classified sentence component or part of speech is a spray phrase,

Symbol,
The symbol display unit
If the classified sentence component or part-of-speech is comparative, the '△' symbol is accepted in the 'as' or 'than' part of the word or phrase.
If the classified sentence component or part of speech is an conjunction, the symbol △ or ○ shall be indicated in the word or phrase.
If a classified sentence component or part of speech is a relative pronoun or a relative adverb, the symbol '○' is accepted in the word or phrase, and the forward pronoun or relative adverb is'

'Together with the symbol,
The symbol display unit
If it is determined that the conjunction, relative pronoun, or relation adverb is omitted from the first result data and the second result data transmitted from the structural analysis part and the part-of-speech analysis part, 'When a symbol is displayed and is a relative pronoun or relative adverb'

'Sign,
The symbol display part is classified sentence component or part of speech is a modifier, and the sentence component or part of speech classified in front of the modifier is the same name, comparative, conjunction, relative pronoun or relative adverb or comma that is a punctuation mark in front or modifier Is placed at the beginning of a sentence, to the front of the word or phrase,

'Direct reading system learning English sentences easy to recognize the sentence structure through the symbol processing, characterized in that to display the symbol. delete delete delete delete delete

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