Korean language learning system and method for applying word spacing to japanese language

Abstract

The present invention relates to a Korean language learning system and method for applying word spacing to Japanese language, the system comprising: a database which collects and processes text data required for Korean and Japanese language learning; a learning sentence generation unit which generates grammar training sentences in Korean and Japanese, in which at least one element among non-spacing of words, marking of word spacing, word segmentation, part-of-speech classification, and color marking has been edited using the text data collected and processed by the database; a learned content management unit which collects and displays content learned by a learner on the basis of the grammar training sentences; a right / wrong determination unit which determines right / wrong answers on the content learned by the learner; and a learning step determination unit which determines the next learning step on the basis of the content learned by the learner.

Description

A Korean language learning system and method that applies spacing to Japanese.

[0001] The present invention relates to a Korean language learning system, and more particularly, to a Korean language learning system and method that apply spacing to Japanese, in which a Korean language learner whose native language is Japanese is provided with Japanese with spacing applied like Korean.

[0002] In Korean, spacing is a grammatical method that uses spaces to separate words. Except in cases where there is a relationship between words such as subjects and verbs, nouns and particles, and adjectives and nouns, spaces are used between words in different phrases such as nouns and nouns, verbs and verbs, and in the case of Chinese characters, spaces are used between Chinese characters, Korean characters, and Korean characters and numbers. Spacing is generally not used for personal names, place names, modifiers, abbreviations, numbers, etc., which means a grammatical method that improves the convenience of understanding and reading Korean sentences.

[0003] Meanwhile, in the case of Japanese, there is spacing like in Korean, but its usage is somewhat different from that of Korean.

[0004] The Japanese spacing principles are to use spaces where one word ends and the next begins, between foreign words and Japanese words, and in logical positions to improve readability in long sentences. No spaces are used between words that make up a sentence, or after punctuation marks.

[0005] In other words, the difference in the use of spacing between Korean and Japanese lies in the use according to the order of words that make up a sentence, the use after punctuation marks (periods, question marks, exclamation marks, etc.), the use within sentences that are connected to foreign words, and the use according to long sentences. Due to these spacing characteristics, even sentences with the same meaning can appear visually different in Korean and Japanese texts.

[0006] In this way, due to the linguistic characteristics of Korean and Japanese, Japanese native speakers often have difficulty with Korean spacing when learning Korean due to the similar but different spacing.

[0007] Therefore, research is needed on a Korean language learning system that applies spacing to Japanese, providing a curriculum and learning content that improves Korean writing skills, including a structure that displays sentences in which Japanese is spaced in the same way as Korean, in response to learning Korean by native Japanese speakers.

[0008] The purpose of the present invention is to provide a learning method that provides a sense of spacing to Korean learners whose native language is Japanese by applying spacing based on Korean grammar to Japanese grammar.

[0009] In addition, the purpose is to provide content that teaches language knowledge, parts of speech, and word sense, including spacing, so that Korean language learners can learn Korean sentences and the Korean language through various methods and contents.

[0010] A Korean language learning system and method applying spacing to Japanese according to an embodiment of the present invention may include a database for collecting and processing text data required for Korean and Japanese language learning, a learning sentence generation unit for generating grammar learning sentences which are Korean sentences and Japanese sentences in which at least one element of non-spacing, spacing display, word division, part-of-speech division, and color display is edited using the text data collected and processed from the database, a learning history management unit for collecting and displaying learning history performed by a learner in response to the grammar learning sentences, a right / wrong judgment unit for determining whether the learning history performed by the learner is correct or incorrect, and a learning stage determination unit for determining the next learning stage in response to the learning history performed by the learner.

[0011] In addition, the database may include a text data processing unit that processes collected text data written in Korean and Japanese into sentence, word, paragraph and document data, a sentence division unit that distinguishes spacing, parts of speech and phrases of the sentence data processed by the text data processing unit, a metadata unit that provides information on the source, author, creation date and time, subject and category of the collected text data, a tokenization processing unit that tokenizes the sentence data and word data processed by the text data processing unit, and an embedding unit that digitizes the text data tokenized by the tokenization processing unit.

[0012] In addition, the learning sentence generation unit may include a spacing learning sentence generation unit that generates the grammar learning sentences by using group sentence data in which Korean sentences and Japanese sentences with the same meaning are grouped into pairs among the sentence data processed in the database, and creates learning sentences by editing the spacing and spacing indication of the group sentence data, a part-of-speech learning sentence generation unit that creates learning sentences by editing the color indication and arrangement of parts-of-speech distinguished in the group sentence data, and a phrase learning sentence generation unit that creates learning sentences by editing the color indication and arrangement of phrases distinguished in the group sentence data.

[0013] In addition, the learning stage determination unit calculates a learning score (LS) using the learning history learned by the learner according to [Mathematical Formula 1] below,

[0014]

[0015] (Here, CA n is the number of correct questions, T w is the time weight, I- n is the total number of inputs for the learner, T r (means the time required)

[0016] If the above learning score (LS) exceeds a preset value, learning sentences for the next stage can be provided.

[0017] In addition, in a Korean language learning method using a Korean language learning system that applies spacing to Japanese, a spacing language knowledge confirmation step is performed in which Korean sentences without spacing or spacing indication are output to determine whether the Korean sentences with spacing input submitted by the learner are correct and to determine the next learning step of the learner, a first learning step in which Japanese sentences without spacing or spacing indication are output to determine whether the spacing of the Japanese sentences with spacing applied by the learner are correct, a 2-1 learning step in which Japanese and Korean sentences with the same meaning applied with spacing are simultaneously output, but are output by coloring and displaying with preset symbols corresponding to the same part of speech in each sentence, and learning data in which the learner matches the same part of speech of the Japanese and Korean sentences are collected, a 2-2 learning step in which learning data submitted by the learner by rearranging Japanese and Korean sentences that are separated by word and randomly arranged in the 2-1 learning step in the correct order and determines whether they are correct, Korean sentences without spacing It may include a 3-1 learning step in which the position of a space in a sentence is displayed and output, and the learner inserts a space in the Korean sentence with the space displayed and submits it, and a 3-2 learning step in which the learner determines the correctness of the learning data in which the space is displayed and outputs a Korean sentence without the space and the space display.

[0018] According to the present invention, by applying spacing based on Korean grammar to Japanese grammar, a learning method can be provided that provides a sense of spacing to Korean learners whose native language is Japanese.

[0019] In addition, by providing content that teaches language knowledge, parts of speech, and word sense, including spacing, Korean language learners can learn Korean sentences and the Korean language through various methods and content.

[0020] FIG. 1 is a block diagram illustrating a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention.

[0021] FIG. 2 is a drawing showing an intermediate block diagram of a database within a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention.

[0022] FIG. 3 is a drawing showing an intermediate block diagram of a learning sentence generation unit in a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention.

[0023] FIG. 4 is a drawing showing a screen that displays a word learning sentence to a learner through a Korean language learning system applied to Japanese according to an embodiment of the present invention.

[0024] FIG. 5 is a drawing showing a screen that displays a spacing learning sentence to a learner through a Korean language learning system applied to Japanese according to an embodiment of the present invention.

[0025] Figure 6 is a diagram showing a flowchart of a Korean language learning method that applies spacing to Japanese according to an embodiment of the present invention.

[0026] Specific details, including the problems to be solved, means of solving them, and effects of the invention, are included in the embodiments and drawings described below. The advantages and features of the present invention, and methods for achieving them, will become clearer with reference to the embodiments described below in detail, along with the accompanying drawings.

[0027] The scope of the present invention is not limited to the embodiments described below, and various modifications may be made by a person having ordinary knowledge in the relevant technical field without departing from the technical spirit of the present invention.

[0028] Hereinafter, the Korean language learning system applying the present invention's spacing to Japanese will be described in detail with reference to the attached Figures 1 to 6.

[0029] First, FIG. 1 is a block diagram of a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention, FIG. 2 is a diagram showing an intermediate block diagram of a database within a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention, FIG. 3 is a diagram showing an intermediate block diagram of a learning sentence generation unit within a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention, and is a diagram showing a screen for displaying a word-by-word learning sentence to a learner through a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention, FIG. 5 is a diagram showing a screen for displaying a spacing learning sentence to a learner through a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention, and FIG. 6 is a diagram showing a flowchart of a Korean language learning method that applies spacing to Japanese according to an embodiment of the present invention.

[0030] Referring to FIG. 1, a Korean language learning system that applies spacing to Japanese according to an embodiment of the present invention may include a database (110), a learning sentence generation unit (120), a learning history management unit (130), a correctness judgment unit (140), and a learning stage determination unit (150).

[0031] The above database (110) can collect and process text data required for Korean and Japanese language learning.

[0032] At this time, the text data collected from the database (110) may mean data that has been collected, converted, and processed by classifying and processing texts including letters, words, and sentences written in Korean and Japanese according to various criteria and units.

[0033] Here, the database (110) is described in more detail with reference to FIG. 2.

[0034] Referring to FIG. 2, the database (110) may include a text data processing unit (111), a sentence division unit (112), a metadata unit (113), a tokenization processing unit (114), and an embedding unit (115).

[0035] The above text data processing unit (111) can process collected text data written in Korean and Japanese into characters, sentences, words, paragraphs, and document data.

[0036] Here, the above-mentioned pre-collected text data may refer to text data collected from documents, web pages, news articles, books, papers, blogs, posts, social media posts, etc. written in Korean and Japanese.

[0037] In addition, the text data processing unit (111) can process the collected text data by classifying and organizing it into various levels such as letters, sentences, words, paragraphs, and letters.

[0038] The above sentence distinction unit (112) can distinguish the spacing, part of speech, and phrases of the sentence data processed in the above text data processing unit (111).

[0039] More specifically, the sentence classification unit (112) can classify text data collected from the text processing unit (111) at the sentence level and store the processed sentence data by distinguishing the spacing, part of speech, and phrases of the sentence data.

[0040] For example, in the text data processing unit (111), when the sentence data "I am taking a walk in the park" is processed, the sentence classification unit (112) can perform part-of-speech classification of the sentence data into "I (pronoun, subject)", "In the park (noun, adverb, particle)", "I am taking a walk (verb, adverb, conjunction)", and "I am (verb, final ending)". In addition, phrase classification can be performed into "I am", "In the park", "I am taking a walk", and "I am", and spacing can be performed between "I am" and "In the park", between "In the park" and "I am taking a walk", and between "I am taking a walk" and "I am" in the sentence data, and then stored.

[0041] That is, the sentence division unit (112) can store and convert into data the spacing, parts of speech, and phrases of the sentence data processed by the text data processing unit (111) into data.

[0042] At this time, the sentence segmentation unit (112) can distinguish spacing using a sequence-to-sequence model such as a Seq2Seq model or a Transformer model, distinguish parts of speech using a machine learning algorithm such as a recurrent neural network (RNN) or a bidirectional LSTM, and perform storage and data processing using machine learning using pre-trained embeddings.

[0043] The above metadata section (113) can provide information on the source, author, creation date, subject, and category of the text data collected in the text data processing section (111).

[0044] More specifically, the metadata section (113) can add descriptions of the content, format, structure, properties, etc. of the text data collected in the text data processing section (111).

[0045] In addition, the metadata section (113) can search for titles of articles, book titles, authors, publication dates, creation dates, etc. related to the text data in the database (110) and web search engines, filter text data in the database (110), and manage the life cycle, update information, owner information, security settings, etc. of the text data, and provide modification history, access rights, etc. of the corresponding text data.

[0046] That is, the metadata section (113) can serve as an index for processing and managing text data by processing information management, data management, information description, etc. of text data processed by the text data processing section (111).

[0047] The above tokenization processing unit (114) can tokenize sentence data and word data processed in the text data processing unit (111).

[0048] More specifically, the tokenization processing unit (114) performs tokenization, which divides the text data into small units called tokens for machine-processable natural language processing (NLP), and the tokenization may perform word tokenization, sentence tokenization, character tokenization, hyphen and symbol processing, stopword removal, special token processing, etc.

[0049] For example, through the tokenization processing unit (114), the Korean sentence data (text data) 'provides an example of Korean tokenization' can be individually tokenized into each word and punctuation mark as 'Korean', 'tokenization', 'example', '을', 'provides', '하다', and '.'.

[0050] The above embedding unit (115) can digitize collected text data and processed text data.

[0051] More specifically, the embedding unit (115) can convert sentences and documents, including words that are tokenized text in the tokenization processing unit (114), into numeric vectors of fixed length.

[0052] Here, the embedding unit (115) can preserve semantic similarity by showing words or sentences with similar meanings in close locations in a similar embedding space, reduce the dimension of original text data to improve computational efficiency and enhance learning and prediction performance of the model, and convert text data into input to a machine learning model by expressing it in numeric form.

[0053] At this time, the embedding unit (115) performs word embedding, which is used to identify semantic similarity between words and for natural language processing by mapping words to real-valued vectors of fixed length, sentence embedding, which creates embedding by considering the order and meaning of words in a sentence, and document embedding, which is used for tasks such as similarity between documents or subject classification by expressing the entire document as a vector, so that text data can be supplied as input to a machine learning model and used for various natural language processing tasks.

[0054] Referring back to FIG. 1, the learning sentence generation unit (120) can generate grammar learning sentences, which are Korean and Japanese sentences, by performing at least one of editing among non-spacing, spacing display, word distinction, part-of-speech distinction, and color display using text data collected and processed from the database (110).

[0055] Here, the learning sentence generation unit (120) can provide the learner with different display options for each word or part of speech, each of which is indicated by a color.

[0056] In addition, the learning sentence generation unit (120) can generate grammar learning sentences by using group sentence data that groups Korean and Japanese sentences with the same meaning into pairs among the sentence data processed in the database (110).

[0057] Meanwhile, the learning sentence generation unit (120) is described in more detail with reference to FIG. 3.

[0058] Referring to FIG. 3, the learning sentence generation unit (120) may include a spacing learning sentence generation unit (121), a part-of-speech learning sentence generation unit (122), and a phrase learning sentence generation unit (123).

[0059] The above spacing learning sentence generation unit (121) can edit the spacing and spacing display of group sentence data to create a learning sentence.

[0060] Here, the spacing judgment method in the sentence data of the above spacing learning sentence generation unit (121) can judge spacing through a rule-based approach, a machine learning-based approach, a dictionary-based approach, and an approach using deep learning and a natural language processing model.

[0061] At this time, the rule-based approach performs spacing judgment, error detection, and correction based on the grammatical rules of the language, and can define and judge spacing rules within sentence data by using morphological analysis within Korean sentences and spacing data collected from the database (110).

[0062] In addition, the machine learning-based approach can predict and correct spacing errors in new sentence data by training a sequence labeling or sequence-to-sequence model using a spacing correct dataset of sentence data.

[0063] Additionally, the dictionary-based approach can detect and correct spacing errors in sentence data based on words listed in the collected dictionary data.

[0064] Additionally, an approach using deep learning and natural language processing models may mean a method of detecting and correcting spacing errors using deep learning-based natural language processing models such as BERT and GPT.

[0065] Through this, the above spacing learning sentence generation unit (121) can generate learning sentence data including sentences in which spacing is performed correctly in Korean sentence data among group sentence data, sentences in which spacing is not performed in Korean sentence data, and sentences in which spacing is performed in units of words in the same manner as in Korean in Japanese sentence data.

[0066] The above part-of-speech learning sentence data generation unit (122) can create learning sentences by editing the color display and arrangement of parts-of-speech distinguished from group sentence data.

[0067] More specifically, the part-of-speech learning sentence data generation unit (122) can generate learning sentence data that displays texts classified by part-of-speech in the group sentence data in different colors using part-of-speech classification data in the sentence data classified in the database (110) and a machine learning model or natural language processing, and induces the learner to rearrange the displayed text.

[0068] For example, the part-of-speech learning sentence generation unit (122) can classify the parts of speech of the group sentence data 'We provide examples of parts-of-speech classification of Korean sentences.' and 'We provide examples of parts-of-speech classification of Korean sentences.' into 'Korean', 'sentence', 'part-of-speech', 'classification', 'example', 'provision', 'Korean', 'article', 'article', 'article', 'part', 'example', 'provision' as nouns, 'of', 'reul', 'o', 'no' as particles, 'do', 'shimasu' as verbs, and '.' as punctuation marks. At this time, learning sentence data can be generated in which nouns are displayed in blue, particles in yellow, verbs in red, and punctuation marks in green. This allows learners to understand the parts of speech within sentences by presenting Korean-based concepts in Japanese. Furthermore, by creating learning sentences that exclude Korean and Japanese sentences from the parts-of-speech chart, color-coded by part of speech, and filling in individual parts of speech using drag-and-drop, learners can effectively learn parts of speech.

[0069] The above phrase learning sentence generation unit (123) can create a learning sentence by editing the color display and arrangement of phrases distinguished from the group sentence data.

[0070] More specifically, the phrase learning sentence generation unit (123) can induce Korean phrase learning of the learner by generating learning sentences such as displaying different colors on texts classified by phrase in group sentence data using phrase classification data and machine learning model or natural language processing in sentence data classified in the database (110) in the same manner as the part-of-speech learning sentence generation unit (122), generating learning sentences excluding text classified by phrase, and aligning the order of phrases using drag and drop of individually separated and randomly arranged phrases.

[0071] Here, the generation of learning sentences using the above-mentioned phrase learning sentence generation unit (123) is explained in more detail with reference to FIG. 4.

[0072] Referring to FIG. 4, the phrase learning sentence generation unit (123) performs phrase division based on Korean sentences in Japanese sentences among group sentence data, displays them in color, and randomly arranges text boxes separated by phrase based on Korean, thereby inducing the learner to arrange them in an order corresponding to the Japanese order.

[0073] Referring again to Figure 1, the learning history management unit (130) can collect and display the learning history performed by the learner in response to the grammar learning sentences generated by the learning sentence generation unit (120).

[0074] Here, the grammar learning sentence may mean at least one learning sentence among the spacing learning sentence, part-of-speech learning sentence, and phrase learning sentence generated by the learning sentence generation unit (120).

[0075] In addition, the learning history management unit (130) includes an account creation and account verification function that includes the learner's name, age, gender, information, ID, password, etc., and can perform learner identification through the learner's login ID.

[0076] Through this, the learning history management unit (130) can prevent the learner from being presented with learning sentences of the same content, and can set the stage and type of the next grammar learning sentence to be provided in response to the learning history performed by the learner.

[0077] The above-mentioned correctness judgment unit (140) can judge whether the grammar learning history performed by the learner is correct or incorrect.

[0078] More specifically, the above-mentioned correct judgment unit (140) can determine whether the learning is correct or incorrect when the learner has performed at least one of spacing, word rearrangement, and part-of-speech rearrangement according to the presented grammar learning sentence.

[0079] Here, the correct answer judgment unit (140) can determine whether the learning performed by the learner is correct by preparing the text data collected from the database (110) as correct answer data.

[0080] In addition, the above-mentioned noon judgment unit (140) can calculate the total number of inputs, which means the total number of times the learner performed spacing, part-of-speech rearrangement, and word rearrangement.

[0081] At this time, the process of calculating the total number of inputs, which is the total number of times the learner rearranges words using the above noon judgment unit (140), is explained in more detail with reference to the above Fig. 4.

[0082] Referring to Fig. 4, when a learner performs word rearrangement learning, the above-mentioned correct judgment unit (140) can calculate the total number of inputs as 2 regardless of whether the input is correct or not when the learner inputs the text box 'in Korea' in the first box and the text box 'have been to' in the second box and submits the input.

[0083] Referring again to Figure 1, the learning stage determination unit (150) can determine the next learning stage in response to the learning history performed by the learner.

[0084] More specifically, the learning stage determination unit (150) can determine the learning stage based on the learner's learning history collected by the learning history management unit and the learning history determined to be correct or incorrect based on the learning history collected by the correct or incorrect judgment unit (140).

[0085] At this time, the learning score (LS) is calculated using the learning history learned by the learner, and the learning score (LS) can be calculated according to the following [Mathematical Formula 1].

[0086] [Mathematical Formula 1]

[0087]

[0088] (Here, CA n is the number of correct questions, T w is the time weight, I- n is the total number of inputs for the learner, T r (means the time required)

[0089] Here, the number of correct answers (CA- n ) may mean the total number of correct answers submitted by learners in response to the presented learning sentences.

[0090] For example, if there are 2 correct answers among the learning history submitted by the learner in a learning sentence with 3 correct answers, the number of correct answers (CA) n ) can be calculated as 2.

[0091] In addition, the above time weight (T w ) may refer to the standard time required per item.

[0092] For example, the above time weight (T w ) can be recognized as three items when there are three Korean language placement areas presented as in Fig. 4. In this case, if the standard time required per item is set to 3 seconds, the time weight (T w ) can be applied to the above [Mathematical Formula 1] as 3.

[0093] At this time, the above time weight (T w ) can generally be set to a range of 1 to 3 seconds, and the time weight (T), which is the standard time required to solve each question, is determined based on the administrator's settings and the learner's level of learning comprehension. w ) can be freely changed and applied to the above [Mathematical Formula 1].

[0094] Using the above [Mathematical Formula 1] reflecting the above factors, the learning stage determination unit (150) can calculate a learning score (LS) corresponding to the number of correct questions, solution time, and total number of inputs of the learning sentences provided to the learner.

[0095] Here, the method of calculating the learning score (LS) using the learning stage determination unit (150) is described in more detail with reference to FIG. 5.

[0096] Referring to Figure 5, the learning stage determination unit (150) determines the total number of spacing inputs (I) entered by the learner in the presented learning sentence. n ) is 5, and the total number of space inputs entered by the learner (I n ) corresponding to the number of correct answers (CA) n ) are three, and the time weight (T w ) is set to 3 seconds, and if it takes a total of 20 seconds to submit the learning sentence, the learning score (LS) can be calculated as 0.27 (3*3*3 / 5 / 20).

[0097] If the learning score (LS) calculated through the above process exceeds a preset value, the learning stage determination unit (150) can provide the learner with a learning sentence for the next stage.

[0098] More specifically, the learning stage determination unit (150) can determine the stage of the learning sentence to be provided to the learner by performing stage descent when the learning score (LS) calculated according to the above [Mathematical Formula 1] is less than 0.5, performing stage maintenance when it is 0.5 or more and less than 1, and performing stage escalation when it is 1 or more.

[0099] At this time, the learning stage determination unit (150) can change the preset value by the administrator.

[0100] Here, the above manager may mean a person who freely changes and stores and manages preset numerical values ​​and setting values ​​within the above system (100).

[0101] In addition, the learning stage mentioned in the learning stage determination unit (150) refers to the difficulty level of the learning sentences provided to the learner, and the number of stages of the learning stage and the difficulty level of the learning sentences may be proportional.

[0102] Meanwhile, a method of performing Korean language learning using a Korean language learning system (100) that applies the above spacing to Japanese is described in more detail with reference to FIG. 6.

[0103] Referring to FIG. 6, the method for performing Korean language learning by applying the spacing to Japanese may include a spacing language knowledge confirmation step (410), a first learning step (420), a second-first learning step (430), a second-second learning step (440), a third-first learning step (450), and a third-second learning step (460).

[0104] The above spacing language knowledge confirmation step (410) outputs a Korean sentence in which spacing and spacing indication are not performed, and determines whether the Korean sentence with spacing entered submitted by the learner is correct and determines the learner's next learning step.

[0105] More specifically, the spacing language knowledge confirmation step (410) outputs a Korean sentence without spacing and spacing indication to the learner when the learner first runs the Korean language learning system (100) that applies the spacing to Japanese, and the learner can insert spacing and then submit it. Thereafter, whether the answer submitted by the learner is correct is determined, and the correct answer rate can be calculated by dividing the total number of spacing input by the number of spacing input by the learner that is determined to be correct.

[0106] Here, the spacing language knowledge confirmation step (410) can determine whether to proceed to the next step based on the correct answer rate of the spacing submitted by the learner as described above.

[0107] Meanwhile, in the above spacing language knowledge confirmation step (410), if the correct answer rate submitted by the learner is 100%, the spacing language knowledge confirmation step (410) can be repeated without proceeding to the first learning step (420).

[0108] On the other hand, if the correct answer rate submitted by the learner is not 100%, the first learning step (420) may be executed.

[0109] The above first learning step (420) outputs a Japanese sentence in which spacing and spacing indication are not performed, and allows the learner to determine whether the spacing of the Japanese sentence in which spacing was performed is correct.

[0110] More specifically, the first learning step (420) first outputs a Japanese sentence without spacing or spacing indication to the learner, then provides spacing indication to the Japanese sentence, and the learner can insert spacing into the Japanese sentence and submit it. Thereafter, a Japanese sentence without spacing or spacing indication is output to the learner, and the learner can insert spacing and submit it, and determine whether it is correct.

[0111] Here, since there is no separate spacing in the Japanese sentence, you can determine whether it is correct or not based on the spacing shown in the Korean sentence with the same meaning.

[0112] Through this, in the first learning step (420), if all the spacing submitted by the learner are correct, the second-first learning step (430) is performed, and if all are not correct, the first learning step (420) can be repeated.

[0113] The above 2-1 learning step (430) outputs Japanese and Korean sentences with the same meaning with spacing applied at the same time, and outputs them by coloring and displaying them with preset symbols corresponding to the same part of speech in each sentence, and allows the learner to collect learning data matching the same part of speech in the Japanese and Korean sentences.

[0114] More specifically, the above-mentioned 2-1 learning step (430) can output Japanese and Korean sentences with the same meaning simultaneously by applying spacing, but with different colors for each part of speech, while the same coloring is performed for each part of speech. At this time, the learner can match the same part of speech by following the displayed guide and submit it, and the submitted learning data can be collected.

[0115] At this time, in addition to coloring, you can use arrows, font changes, font size changes, guidelines, etc. to indicate different parts of speech and between identical parts of speech, thereby inducing learners to match and submit identical parts of speech.

[0116] The above 2-2 learning step (440) can collect learning data submitted by the learner by rearranging in the correct order the Japanese and Korean sentences that were separated by phrase and randomly arranged in the above 2-1 learning step, and determine the correctness.

[0117] More specifically, the above-mentioned 2-2 learning step (440) can output to the learner the Japanese and Korean sentences presented in the above-mentioned 2-1 learning step, arranged in a random order by phrase rather than part of speech. At this time, the learner can rearrange the randomly arranged Japanese and Korean phrases in the correct order and submit them, and determine whether the learning data submitted by the learner is correct.

[0118] Here, in the 2-2 learning step (440), if the learning data submitted by the learner includes an incorrect answer, the 2-1 learning step (430) may be performed again, and if all the answers are correct, the 3-1 learning step (450) may be performed.

[0119] The above 3-1 learning step (450) outputs to the learner a Korean sentence in which no spacing has been performed, indicating the position of spacing, and the learner can insert spacing into the Korean sentence in which spacing has been indicated and submit it.

[0120] More specifically, the 3-1 learning step (450) may output to the learner a 'V'-shaped space indication between letters where actual spacing should be performed in a Korean sentence in which no spacing has been performed. At this time, the learner may insert spacing according to the spacing indication displayed in the Korean sentence and submit it, and collect the submitted learning data.

[0121] The above 3-2 learning step (460) outputs Korean sentences in which spacing and spacing indication are not performed, so that the learner can determine whether the learning data has been spacing.

[0122] More specifically, the above 3-2 learning step (460) outputs a Korean sentence to the learner in a state where spacing and spacing indication are not performed, and determines whether the learning data submitted by the learner by performing spacing is correct.

[0123] At this time, in the 3-2 learning step (460), if the learning data submitted by the learner includes an incorrect answer, the 3-1 learning step (450) may be performed, and if all the answers are correct, the spacing language knowledge confirmation step (410) may be performed.

[0124] In this way, the method of performing Korean language learning using the Korean language learning system (100) that applies the above spacing to Japanese can be performed by first providing the learner with the highest level of difficulty, the above spacing language knowledge confirmation step (410), to confirm the learner's language knowledge, and then collecting learning performance and learning data related to the learner's spacing, parts of speech, and phrases step by step to determine correctness and increase the level so that ultimately, when a Korean sentence without spacing is output, learning can proceed so that the learner can perfectly use spacing.

[0125] In addition, although the step movement according to the step-by-step correct answer is described as all correct or none correct, the step progression can be performed in a way that the next step is performed based on whether the learning score (LS) calculated according to [Mathematical Formula 1] of the learning step determination unit (150) in the Korean learning system (100) that applies the above spacing to Japanese exceeds a preset reference score.

[0126] Through the above process, the Korean language learning system (100) that applies the spacing to Japanese can collect and process various Korean and Japanese text data from the database (110) and use the collected data to create Korean and Japanese sentences as learning sentences. In addition, the system can record the learner's learning history and determine the correct and incorrect answers of the submitted learning data to determine the learner's next learning stage. In other words, the Korean language learning system (100) that applies the spacing to Japanese can provide learning of spacing, parts of speech, and word sense, which are elements for learners who use Japanese as their native language to learn Korean.

[0127] According to one embodiment of the present invention, by applying spacing based on Korean grammar to Japanese grammar, a learning method can be provided that provides a sense of spacing to Korean learners whose native language is Japanese.

[0128] In addition, by providing content that teaches language knowledge, parts of speech, and word sense, including spacing, Korean language learners can learn Korean sentences and the Korean language through various methods and content.

[0129] Although the embodiments of the present invention have been described with limited examples and drawings, the embodiments of the present invention are not limited to the embodiments described above, and various modifications and variations are possible based on this description by those skilled in the art to which the present invention pertains. Therefore, the embodiments of the present invention should be understood solely by the scope of the claims set forth below, and all equivalent or equivalent modifications thereof are deemed to fall within the scope of the present invention.

[0130]

[0131] 100: A Korean learning system that applies spacing to Japanese

[0132] 110: Database

[0133] 111: Text data processing unit

[0134] 112: Sentence division section

[0135] 113: Metadata section

[0136] 114: Tokenization Processing Unit

[0137] 115: Embedding section

[0138] 120: Learning sentence generation section

[0139] 121: Spacing learning sentence generation section

[0140] 122: Part of speech learning sentence generation section

[0141] 123: Phrase Learning Sentence Generation Unit

[0142] 130: Learning History Management Department

[0143] 140: Noon Judgement Department

[0144] 150: Learning stage decision section

[0145] 410: Spacing Language Knowledge Check Step

[0146] 420: First Learning Stage

[0147] 430: Stage 2-1 Learning

[0148] 440: Stage 2-2 Learning

[0149] 450: Stage 3-1 Learning

[0150] 460: Stage 3-2 Learning

Claims

1. A database that collects and processes text data required for Korean and Japanese language learning; A learning sentence generation unit that generates grammar learning sentences, which are Korean sentences and Japanese sentences, by editing at least one element of non-spacing, spacing display, word distinction, part-of-speech distinction, and color display using text data collected and processed from the above database; A learning history management unit that collects and displays learning history performed by learners in response to the above grammar learning sentences; A correct or incorrect judgment unit that determines whether the learning history performed by the above learner is correct or incorrect; and A learning stage determination unit that determines the next learning stage in response to the learning history performed by the above learner; A Korean language learning system that applies spacing to Japanese, including .

2. In paragraph 1, The above database is, A text data processing unit that processes collected text data written in Korean and Japanese into sentences, words, paragraphs, and document data; A sentence division unit that distinguishes spacing, parts of speech, and phrases of sentence data processed in the above text data processing unit; A metadata section that provides information on the source, author, creation date, subject, and category of the above-mentioned collected text data; A tokenization processing unit that tokenizes the sentence data and word data processed in the text data processing unit; and An embedding unit that digitizes the tokenized text data in the tokenization processing unit; A Korean language learning system that applies spacing to Japanese, characterized by including .

3. In paragraph 1, The above learning sentence generation unit is, The grammar learning sentences are generated by using group sentence data that is a pair of Korean and Japanese sentences with the same meaning among the sentence data processed in the above database. A spacing learning sentence generation unit that edits the spacing and spacing display of the above group sentence data to create a learning sentence; A part-of-speech learning sentence generation unit that creates learning sentences by editing the color display and arrangement of parts of speech distinguished from the above group sentence data; and A phrase learning sentence generation unit that creates a learning sentence by editing the color display and arrangement of phrases distinguished from the above group sentence data; A Korean language learning system that applies spacing to Japanese, characterized by including .

4. In paragraph 1, The above learning stage decision unit is, Using the learning history learned by the above learner, the learning score (LS) is calculated according to [Mathematical Formula 1] below, [Mathematical Formula 1] (Here, CA n is the number of correct questions, T w is the time weight, I- n is the total number of inputs for the learner, T r (means the time required) A Korean language learning system that applies spacing to Japanese, characterized in that it provides a learning sentence for the next stage when the learning score (LS) exceeds a preset value.

5. In a Korean language learning method using a Korean language learning system that applies spacing to Japanese, A spacing language knowledge verification step that outputs a Korean sentence without spacing and spacing indication to determine whether the Korean sentence submitted by the learner with spacing input is correct and determines the learner's next learning step; A first learning step in which a Japanese sentence without spacing or spacing indication is output and the learner determines whether the spacing in the Japanese sentence in which spacing has been performed is correct; A second-first learning step in which Japanese and Korean sentences with the same meaning with spacing applied are output simultaneously, and the output is displayed with colors and preset symbols corresponding to the same part of speech in each sentence, and the learner collects learning data matching the same part of speech in the Japanese and Korean sentences; A 2-2 learning step in which the learner collects the learning data submitted by rearranging the Japanese and Korean sentences, which were randomly arranged after separating them by phrase in the 2-1 learning step, in the correct order and determines whether they are correct; The 3-1 learning step is to output a Korean sentence without spacing by indicating the spacing location and have the learner insert spacing into the Korean sentence with spacing indicated and submit it; and The 3-2 learning step outputs Korean sentences without spacing or spacing indication and determines whether the learner has performed spacing on the learning data; A Korean language learning method that applies spacing to Japanese, characterized by including .

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