KR100560314B1 - the method of marking the elements of a foreign sentence by Using the Color chart of the Digital Color system - Google Patents

Abstract

The present invention relates to the color chart code number (Color Name) of the digital color system of the same rule in the components of foreign language (English, Japanese, German, French, Chinese, and other) sentences and the corresponding Korean translated. The present invention relates to a method and system for displaying foreign-language sentence patterns, which are distinguished so that the structure and form of a sentence can be easily and accurately understood using the

The most basic task in reading and interpreting grammar problems in foreign languages (English, Japanese, German, French, Chinese, etc.) is to find the basic elements of sentences.

There are four basic elements of a sentence: subject, verb, object, and bore. In addition, there are modifiers as additional elements.

Therefore, if you find the subject, verb, object, and bore correctly, the reading and grammar problems in English are over.

Also, the sentence consists of two parts, housewife and booze. A housewife is a part containing a subject and a predicate is a part containing a predicate (verb).

In the predicate, in addition to verbs, there are also objects or bores.

My grandmother visited us last week.

Housewife (my grandmother), winemaker (last week came to see us)

1. Subject: The words "who" or "what" as the subject of an action or action

2. Predicate: A word that represents an action or action that a subject does

3. Object: A word that corresponds to "what" as the object of the action.

4. Bohr: Sentences and verbs or subjects, verbs, and object words are not perfect in meaning.

Words that go in when not.

5. Phrase: A group of two or more words that can be used to do a noun, adjective, or adverb in a sentence.

Accordingly, the present invention includes a first step of reading an existing document (a text file, an RTF file) or reading a text by directly inputting a sentence and scanning the document through character recognition; A second step of extracting parts of speech and positions of words in a sentence by substituting the read characters into a set translation program; A third step of classifying translations and components of sentences by substituting parts of the extracted words and positions of words in sentences into a set translation program; A fourth step of substituting a code number (color name) of a color chart of a digital color system designated for each classified sentence component of the classified sentence element and storing it in a RAM memory; The code elements (Color Name) of each designated color chart are indicated on the components of the stored sentence to be achieved through the fifth step of printing and printing on the monitor.

According to the present invention, all the components of a subject, a verb, an object (direct), an object (indirect), a main sentence, an object vowel, an adverb phrase, a main clause, and a subordinate clause, which form a sentence, are assigned to a color chart. By classifying them with code numbers (Color Name) and marking these divisions with the translated sentences according to the same rules in Korean sentences, the grammar, words and vocabulary lacking in translation for language learning Allows people to learn the differences between foreign languages (English, Japanese, German, French, Chinese, etc.) and Korean word order and the meaning of words at a glance, allowing them to learn languages easily and quickly. Referencing the star format will result in higher quality translations.

Foreign Language, Sentence Elements, Language Learning, Digital Color Scheme, Color Chart, Character Recognition, Translation, Color Name, Visual Learning, RGB Code Number, Hexadecimal Code Number, CMYK Code Number, L * a * b color model, HSB mode

Description

The method of marking the elements of a foreign sentence by Using the Color chart of the Digital Color system}

1A is a block diagram showing a system configuration for implementing a method for classifying and displaying a foreign language sentence structure according to the present invention.
1B is a flowchart showing a method for classifying a sentence structure according to the present invention.
Figure 2a to 2c is a digital color system for the present invention: RGB, CMYK, # hex, L * a * b color model, a diagram showing the color value representation method of the HSB mode,
FIG. 2D is a view showing a color chart of a digital color system; FIG.
3 to 11 are views showing a state in which a color chart hexadecimal code number of a digital color system for displaying a foreign language sentence component is displayed according to the present invention.

The present invention relates to a method of classifying sentence elements using color chart code numbers (Color Names) of a digital color system so that foreign language translation recognition sequences can be easily and accurately identified.

Until now, when a native speaker who speaks Korean is studying a foreign language, such as Japanese, or German, French, Chinese, etc., if the length of the sentence in the textbook is long, it is very difficult for a beginner to figure out how the sentence is composed. Many people are afraid of foreign languages because they are difficult.

Therefore, in the past, the sentence has been explained by explaining how the sentence is related to each part of speech, and the parts of sentences are symbolized in the form of a figure to induce learning, but the rules must be learned separately. In addition, it takes a lot of time in efficiency, so there was a problem that learning efficiency is very low.

In addition, the textbooks for teaching foreign languages (English, Japanese, German, French, Chinese, etc.) so far simply indicate foreign language (English, Japanese, German, French, Chinese, etc.) sentences and the translated Korean sentences. Although the elements of the subscript are written as 'subject + verb + object', the difference between foreign language and Korean could not be understood at a glance.

In addition, looking at foreign languages, each sentence can be seen that there is a certain form or system according to the combination of the elements constituting the sentence.

However, Koreans who use Korean language are not familiar with the system of foreign grammar, so it is difficult to translate foreign sentences.

Accordingly, the present invention was devised to solve the above problems.

An object of the present invention is to index (indexing) the components of a sentence by using a color name in translating a foreign language as described above, and to recognize the translation order by the distinguished color name. Even if you don't know the words, you can distinguish the structure of the foreign language sentence that can improve the effect of learning foreign language by inducing the students to know the difference between the foreign language and the Korean language and sentence pattern by just looking at the color of the translated sentence. It is to provide a method.

In order to implement the above object of the present invention, the present invention comprises a first step of receiving a document; Extracting parts of speech and positions of words in sentences of an input document using a translation program; A third step of classifying elements of sentences, such as predicates and objects, and translating sentences according to parts of speech and position of the words extracted in the second step; The RGB code number (color name) corresponding to the sentence component classified in the third step by using the RGB code number (Color Name) set in the memory for each sentence component from the color chart of the digital color system. A fourth step of matching (Color Name)) and storing it in its own RAM memory; In the fourth step, a sentence is output to the monitor with color names according to the elements of the sentence stored in the fourth step to have a predetermined color for each element, and is printed in a printer.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1A is a system configuration diagram illustrating a division display method of a foreign language sentence structure according to the present invention.
The system for implementing the present invention includes a RAM memory 11 in which data is temporarily stored for processing various data, a monitor 12, a printer 13, and an input device 14 such as a keyboard for inputting various information. In the code number (Color Name) of the color chart of the digital color system, a predetermined code number for each sentence element is recorded in accordance with the sentence element, and the memory 15 in which the translation program is recorded, The document recognition device 16 scans the document and recognizes the document through the input device 14 or the document recognition device 16 according to the command outputted from the input device 14, and drives a translation program. It is composed of a processor 17 for outputting the sentence to the monitor 12 or the printer 13 in a color distinguished according to the translation content and sentence components.
An embodiment of the present invention will be described in detail by using a system having the configuration as described above.
1B is a flowchart illustrating a division display method of a foreign language sentence structure according to the present invention.
The present invention comprises a first step (S101-102) for receiving a document; A second step (S103) of extracting parts of speech and positions of words in sentences of an input document using a translation program; A third step (S104) of classifying elements of sentences, such as predicates and objects, and translating sentences, according to parts of speech and position of the words extracted in the second step; The RGB code number (color name) corresponding to the sentence component classified in the third step by using the RGB code number (Color Name) set in the memory for each sentence component from the color chart of the digital color system. A fourth step (S105) of matching (Color Name)) and storing it in its own RAM memory; A fourth step (S106) is performed by outputting a sentence to a monitor with a color name according to the elements of the sentence stored in the fourth step so as to have a predetermined color for each element, and printing it by a printer.
In the first step of receiving a document in the above configuration, the processor first determines whether there is a translation command through an input device (S101), and if there is a translation command, an existing document (text file, RTF file) from another storage medium. Receive a text, directly input a sentence through an input device, such as a connected keyboard, or receives a document read after being scanned through the character recognition device (S102).
After receiving the document, the processor runs a translation program and extracts the parts of speech (adverbs, nouns, pronouns, etc.) and words of words in the sentence of the document input in the first step.
Subsequently, the processor classifies components of sentences, such as predicates and objects, and translates sentences according to parts and parts of words extracted using a translation program.
In addition, the processor uses the RGB code number (Color Name) preset in the memory for each sentence element from the color chart of the digital color system, corresponding to the sentence element classified in the third step. The code number (Color Name) is matched and stored in its own RAM memory (S105).
Since the processor reads the data stored in the RAM memory and outputs the sentence to the monitor with the color names according to the elements of the sentence, it has a preset color for each component and is printed by the printer as necessary. )
In the above-described embodiment of the present invention, the document recognition device recognizes the characters described in the scanned document through the provided character recognition program. A text recognition program is a software that receives a document from an image recognition device such as a scanner as an image file and then analyzes the generated image and converts it into a text file. It can be input and is widely used in a wide range of fields such as offices, publishing, databases, and so on. In addition, a web document may be translated using the text recognition program.

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According to the present invention, a word of a recognized sentence is classified as a matched part-of-speech by calculating whether or not it matches a sentence type of sentences of a pre-classified memory according to a program setting.

The classification and the resulting Color Name representation is expressed according to the digital color system.

In this case, the color name has a function of expressing the name and color of the color as well as an important function of conveying human emotion. The human eye has more than 100,000 color-identifying capabilities, and millions of colors can be classified by optical classification using a colorimeter.

In the information society, the necessity of transmitting and recording color information is increasing. In order to accurately display many colors, a delivery method according to the purpose of use is required. Therefore, the digitization of color names not only defines the standard of colors, but also promotes the improvement of digital design and production convenience, and is established to establish accurate color name system with international compatibility and education effect for accurate color transfer and reproduction. It became.

The digital color system is as follows.

Digital color system.

RGB (see Figures 2a, 2b)

The RGB system is a digital color system used in color monitors and TV monitors.

RGB is an abbreviation of the first three colors of red, green, and blue, and is a form of output signal used to control a monitor. All other colors are called additive colors and these three primary colors can be created by mixing them in various proportions and intensities. Red and blue are magenta (M, magenta) / Green and blue lights are navy blue (C, cyan) / Red and green are yellow (Y) / RGB numbers 0 to 255 R (RED), G (GREEN), Coordinates are set in B (BLUE) order. The RGB method is an additive mixing method that becomes brighter as colors are mixed. So if all three of these colors add up to 100%, they're white; if you don't mix any colors, they're black. Each of the three colors has 256 levels of tonality, so the number of colors that can be mixed together can represent 16 million colors, or 256X256X256 = 16,777,216.

I. CMYK (see drawing 2c)

CMYK is a color notation system that is often used by editorial designers and people with printing jobs.

 RGB primary colors are used to create the three primary colors of printing. By combining the three primary colors of light and the three primary colors of printing, the mixing of the three primary colors of light makes the three primary colors of printing and the three primary colors of printing can make the same color as the three primary colors of light.

The process of creating the three primary colors of printing with the three primary colors of light is as follows.

Green and blue light stands for Cyan, C / Red and blue light stands for Magenta, M / Red and green light stands for Yellow, Y / K is the last alphabet of Black to distinguish from blue B. Use K.

All. # Hexadecimal (see figure 2b)

Hexadecimal numbers are currently used in graphics software and Internet-only programs, designed for display rather than digital color schemes. In other words, when 8-bit depth is expressed numerically, R G B can be set from 0 to 255, and each level from RGB to 0 to 255 is represented by 6 digits of 2 hexadecimal numbers (00 to FF).

Example 1) Red: R: FF (255), G: 00 (0), B: 00 (0) => "# FF0000"

Example 2) 3 color code

Red: ff0000 Green: 00ff00 Blue: 0000ff

Example 3) Combination of three colors

Red (ff0000) + Green (00ff00) = Yellow (ffff00)

Red (ff0000) + Blue (0000ff) = Magenta (ff00ff)

Green (00ff00) + Blue (0000ff) = Cyan (00ffff)

Red (ff0000) + Green (00ff00) = Blue (0000ff) = White (ffffff)

la. Color chart <See drawing 2d>

The color chart shows the hexadecimal (hexadecimal) and RGB values for each color required for the background color and text color of the document, so it can be useful for color selection.

hemp. H, S, B (See Figure 2b)

HSB mode is based on human color perception.

H means Hue. The color tone we commonly refer to is the wavelength of light reflected from or transmitted through an object.

Often, hue is distinguished by the names of colors such as red, orange and green.

Hue is measured by the position of the standard color wheel and is expressed in degrees between 0 and 360 degrees.

S, also known as chroma, is the saturation, which is the intensity or purity of the color.

Saturation represents the amount of gray proportional to hue and is measured as a percentage between 0 percent (grey) and 100 percent (full color).

In the standard color wheel, the saturation increases as it approaches the edge of the circular plate; The closer it is to the center, the less saturated it is.

B is Brightness, the relative lightness or darkness of a color, usually measured as a percentage between 0% (black) and 100% (white).

bar. L * a * b (see drawing 2b)

The L * a * b color model is based on the first color model proposed in 1931 by the Commission International dclairage (CIE) as an international standard for color measurement.

In 1976, the model was rearranged and named CIE L * a * b.

The L * a * b model addresses the variability in color reproduction that is issued when using other monitors and print devices.

L * a * b colors are device independent.

That is, they produce consistent colors regardless of the specific device, such as a monitor, printer, or computer, used to create or print the image.

The lab color consists of fluorescence, ie the brightness factor L and the two hue elements a and b. The brightness component L ranges from 0 to 100.

The a element ranges from green to red, and the b element ranges from blue to yellow.

 The range of the a element (green-red axis) and the b component (blue-yellow axis) is between +120 and -120.

Lab mode is most commonly used when working with Photo CD images or when you want to edit the brightness and color values of an image independently.

In other words, it is the simplest and easy to understand color name such as subject, verb, object (direct), object (indirect), subject boredom, object boredom, adverb phrase, etc. The main idea is to separate them by) and write them in combination.

The color code numbers below use hexadecimal code numbers.

Looking at the preferred embodiment,

 Main sections, subordinate clauses and linking words are divided into three parts.

<In the case of a week>

1) The main subject should be written as <Background color number: 0000FF / Text color number: FFFFFF>.

2) The main verb is written as <Background color number: FFD959 / Text color number: 000000>.

3) The main exclamation verb is written as <Background color number: FFFF00 / Text color number: 000000>.

4) The main object of the main clause shall be written as <Background color number: 000000 / Text color number: FFFFFF>.

5) Indirect object shall be written as <Background color number: 999999 / Text color number: FFFFFF>.

6) The main subject bores shall be marked as <Background color number: 6600FF / Text color number: FFFFFF>.

7) The main target bores are marked as <Background color number: 808000 / Text color number: FFFFFF>.

8) The main prepositions are indicated with <background color number: FF00FF / text color number: FFFFFF>.

9) The main adverb 1 is written as <Background color number: FF6600 / Text color number: FFFFFF>.

10) The main adverb 2 is written with <background color number: 800000 / text color number: FFFFFF>.

 <Independent clause>

11) Dependent clause subject is <letter color number: 0000FF>

12) Subordinate clause verbs are denoted by the <character color number: FF9900>.

13) Subordinate clause modal verbs shall be indicated by <text color number: FF9999>,

14) Direct object of subordinate clause is indicated as <character color number: 000000>.

15) Indirect object of subordinate clause is indicated by <letter color number: 999999>.

16) Subordinate section main bores shall be marked with <letter color number: 6600FF>.

17) Subject bore of subordinate clauses shall be marked with <letter color number: 808000>.

18) Subordinate prepositions shall be indicated by <letter color number: FF00FF>.

19) Subordinate clause adverb 1 is indicated by <text color number: FF6600>.

20) Subordinate adverb 2 is indicated by <text color number: 800000>,

 <For concatenated words>

21) Concatenated conjunctions shall be written in the square box markings with the letter color number 008000.

22) Subject pronouns are indicated in <box of square boxes, with the letter color number: 0000FF>,

23) Target-relative pronouns are written in the square box, with the letter color number 000000.

24) Possessive-related pronouns are written in <box of square boxes, with the letter color number: 6600FF>.

25) The conjunctions of adverb elements, such as time / reason, shall be written within the square box markings with the letter color number: FF6600.
In another embodiment, a sentence is given, and a verb, an object, a bore, and a modifier are divided into a red (pastel) background color number FFCCFF, a verb--blue (pastel) background color number 99CCFF, and an object--green (pastel). Tone) Background color number CCFF99, Bore-Orange (pastel tone) Background color number FFCC99, Modifier-Black box, using hexadecimal code of color chart.
As can be seen from the above, when the sentence is recognized, it is determined that it belongs to any one of the above-mentioned indexes, and stored in the RAM memory as the indexing code number. Similarly, as shown in Fig. 3 to Fig. 11, the division color is described.

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As described, all the components of the subject, verb, object (direct), object (indirect), main boredom, object boredom, adverb phrase, main clause and subordinate clause which constitute sentence are designated in the color chart. By dividing by number and classifying these divisions according to the same rules in Korean sentences, they are marked with translated sentences. You can learn the language faster because the meaning of the front sentence and the back sentence can be naturally connected by knowing the components of the foreign language sentence (English) exactly by looking at the sentence once in a short time. Color Name By referring to the sentence format separated by, the higher quality translation result can be obtained.

In addition, the visual notation according to the present invention will enable language learning quickly and easily when visual learning of Japanese or German, French, Chinese, or other foreign languages.

1. The notation of the present invention, which differentiates the conventional foreign language (English) sentence structure notation, may be used to distinguish the elements of the sentence by using colors to increase the ability of distinguishing the sentence structure of beginners and especially elementary students.

2. Each sentence of the foreign language (English) study textbook composed of the notation of the present invention is marked in the same color in the (Korean) language and foreign language (English), so even students who lack vocabulary are symbolic colors displayed in the native language (Korean) You can understand the meaning of foreign words.

3. Be confident that you can easily conquer English in proportion to your time and effort.

4. You can feel interesting and take a self-directed study.

5. Know the difference between a foreign language (English) and a native language (Korean) and have an easy approach to thinking in English.

6. Can understand complex sentence phrases and difficult words easily.

7. Rely less on reference books of foreign language (English) textbooks and increase their ability to study.

8. It is easy to grasp the components of a sentence and quickly masters the easy listening / speaking functions.                     

Claims (6)

Using a system equipped with a RAM memory, a monitor, a printer, an input device, a character recognition device, a memory, a processor, and a translation program, A first step in which the processor reads an existing document (text file, RTF file) from another storage medium, receives a sentence through a connected input device, or receives a read document after scanning through a text recognition device; A second step of, after the processor receives the document, driving the translation program to extract parts of speech and positions of words in sentences of the document input in the first step; A third step of classifying elements of sentences, such as predicates and object words, and translating sentences by the translation program according to parts and positions of words extracted in the second step; The processor uses the RGB code number (Color Name) preset in the memory for each sentence element from the color chart of the digital color system, and the RGB code corresponding to the sentence element classified in the third step. A fourth step of matching the numbers (Color Name) and storing them in its own RAM memory; The processor may include a fifth step of outputting a sentence to a monitor using a color name according to the elements of the sentence stored in the fourth step so that the processor has a predetermined color for each component and printing the printer. How to classify foreign language sentence components. The method of claim 1, In the process of matching the sentence component and the color name in the fourth step, the color chart of the digital color system of the same rule is applied to the components of the foreign sentence classified in the third step and the components of the Korean sentence translated corresponding thereto. Chart) A method for classifying a foreign sentence sentence component, characterized by matching a code number (Color Name) using a hexadecimal code number. The method of claim 1, In the process of matching the sentence component and the color name in the fourth step, the color chart of the digital color system of the same rule is applied to the components of the foreign sentence classified in the third step and the components of the Korean sentence translated corresponding thereto. Chart) A method for classifying and identifying foreign language sentence elements, characterized by matching code numbers (Color Names) using CMYK code numbers. The method of claim 1, In the process of matching the sentence component and the color name in the fourth step, the color chart of the digital color system of the same rule is applied to the components of the foreign sentence classified in the third step and the components of the Korean sentence translated corresponding thereto. Chart) A method for classifying a foreign sentence sentence component characterized by matching a code number (Color Name) using an L * a * b color model. The method of claim 1, In the process of matching the sentence component and the color name in the fourth step, the color chart of the digital color system of the same rule is applied to the components of the foreign sentence classified in the third step and the components of the Korean sentence translated corresponding thereto. Chart) A method of classifying a sentence in a foreign language, characterized in that the code number (Color Name) is distinguished using HSB mode. The method of claim 1, In the process of matching the sentence component and the color name in the fourth step, the color chart of the digital color system of the same rule is applied to the components of the foreign sentence classified in the third step and the components of the Korean sentence translated corresponding thereto. Chart) Gives a sentence for the code number (Color Name) and divides it into verbs, objects, bores, and modifiers. Subject--red (pastel) background color number FFCCFF Verb--Blue (pasteltone) background color number 99CCFF Object--green (pasteltone) ground color number CCFF99 Bore--Orange (Pasteltone) Color code FFCC99 Qualifier--Black Box  A method of classifying and distinguishing foreign language sentence elements, which is distinguished using a hexadecimal code of a color chart.

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