JP2007017568A - Language learning method, language learning device, program, and storage medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a language learning method, a language learning device, a program, and a storage medium enabling effective language learning. <P>SOLUTION: A word extraction control section 15 sets word extraction conditions based on a KANJI and KANJI information input from a KANJI extraction section 13, and makes a word extraction section 16 extract a word (group) out of a word dictionary storage section 14 so that all the readings of the KANJI included in the word extraction conditions may be covered. When the extracted word (group) covers all the readings of the KANJI included in the word information, the word extraction control section 15 makes the word extraction section 16 input the word (group) into a word list output section 17 to complete a word list. Thus, the word list including a plurality of readings of KANJI is automatically created, and a learner can learn a language effectively. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a language learning method, a language learning device, a program, and a storage medium storing the program for efficiently learning a language.

  Conventionally, various techniques for efficiently learning a language and reducing the burden on the learner have been proposed. For example, to improve the efficiency of learning kanji, extract kanji and sentences containing kanji from the kanji dictionary storage according to the difficulty level of the kanji that is set in advance, and display the extracted kanji and sentences on the display or print on paper A learning device has been proposed. In such a conventional apparatus, the “school year” in the dividend table according to the grade of kanji specified in the learning guidance guidelines of the Ministry of Education, Culture, Sports, Science and Technology is applied to the difficulty level of the kanji. In other words, the lower the “school year” is, the lower the difficulty of kanji is, and the higher the “school year” is, the higher the difficulty is.

  However, there are only six grades from the first grade to the sixth grade, and all the kanji characters in the same grade are regarded as the same difficulty level, so the difficulty level cannot be controlled within the same grade. There was a problem. Furthermore, since the subject of the dividend table by grade is limited to educational kanji, there was a problem that kanji other than educational kanji could not be applied.

  In order to solve such a problem, there is a technique using intimacy as an index representing the difficulty level of kanji (for example, see Patent Document 1). This intimacy is a numerical value that represents the degree of subjective familiarity of kanji or words, expressed as a real value in the range of 1 to 7, with a familiarity closer to 1 and a familiarity closer to 7. Means. For example, the familiarity of the kanji characters “kai” and “hon” is 6.5 or more, and the familiarity of the words “魑” and “龠” is 2.0 or less. Further, for example, the familiarity of the words “sun” and “father” is 6.5 or more, and the familiarity of the words “刮目” and “撒播” is 2.0 or less. Such familiarity is obtained by evaluating the familiarity of each Chinese character with a number of 1, 2, 3, 4, 5, 6, and 7 and averaging the evaluation values. The intimacy obtained for 6300 kanji characters in Japanese by such a method is stored in a database. Intimacy is a highly reliable scientific value that is used not only for academic research related to language, but also widely used in applied technologies such as a vocabulary number estimation device (see, for example, Patent Document 2). ing.

  Thus, the familiarity is a real value obtained for each kanji or each word, and is a value obtained for other than educational kanji. Therefore, by randomly extracting kanji and sentences containing kanji based on intimacy from the kanji dictionary storage unit and displaying the extracted kanji and sentences on the display or printing them out on paper, It can also be applied to kanji.

Japanese Patent Laying-Open No. 2005-107483 Japanese Patent No. 3331286

  By the way, among languages used all over the world, there are languages in which a single word has a plurality of readings. For example, kanji used in Japanese often has a plurality of readings, such as two readings of “Nen” and “Toshi” for the kanji “year”. How to read such kanji is determined by the preceding and following characters, that is, the context. For example, the Chinese character “Year” is read as “Nen” in the word “School”, and “Toshi” is read in the word “Yearly”. Therefore, a person who learns a language in which a word has a plurality of readings such as Japanese must learn not only how to read the word but also how to read it according to the context.

  However, since the conventional technique did not assume multiple readings of the word, the learner may never be shown how to read the word to be learned. As a result, the language can be effectively learned. There wasn't.

  Accordingly, the present invention has been made to solve the above-described problems, and an object thereof is to provide a language learning method, a language learning device, a program, and a recording medium that can effectively learn a language. And

  In order to solve the above-described problems, a language learning method according to the present invention is a language learning method using a word dictionary that stores a plurality of words and at least how to read each word. An extraction step for acquiring the first character string, an extraction step for extracting the second character string including the first character string from the word dictionary for each reading of the first character string, and an extraction step for extracting the second character string. And a presenting step of presenting the second character string to the learner. The attribute information includes at least information on how to read the character string. Here, the first and second character strings may be composed of text data or the like.

  In the language learning method, the extraction step may minimize the number of second character strings extracted from the word dictionary for each reading of the first character string.

  Further, in the language learning method, the word dictionary stores intimacy that is a value indicating the degree of subjective familiarity of each word, and the extraction step is performed for each reading of the first character string from the word dictionary. The average familiarity of the extracted second character string may be maximized. Here, the attribute information further includes information on intimacy.

  In the language learning method, a reception step of receiving answer information about how to read the first character string in the second character string from the learner, and whether or not the reading of the first character string included in the answer information is correct And a selection step of selecting the second character string to be presented in the presentation step based on the determination result of the determination means.

  According to the present invention, by extracting the second character string including the first character string for each reading of the first character string from the word dictionary, all the readings of the first character string are covered. Can learn language effectively.

[First Embodiment]
Hereinafter, a first embodiment of the present invention will be described in detail with reference to the drawings. As shown in FIG. 1, the language learning apparatus 1 according to the present embodiment includes a kanji dictionary storage unit 11, a kanji extraction condition setting unit 12, a kanji extraction unit 13, a word dictionary storage unit 14, and word extraction control. The unit 15 includes a word extraction unit 16, a word list output unit 17, an answer reception unit 18, an answer analysis unit 19, and an output control unit 20. Such a language learning device 1 detects an input of information from the outside such as an arithmetic device such as a CPU, a storage device such as a memory and an HDD (Hard Disc Drive), a keyboard, a mouse, a pointing device, a button, and a touch panel. A computer equipped with an input device, an I / F device for transmitting and receiving various information such as a printer, a display device such as a CRT (Cathode Ray Tube), LCD (Liquid Crystal Display) or FED (Field Emission Display), And programs installed on the computer. That is, the hardware device and software cooperate to control the hardware resources by a program, and the above-described kanji dictionary storage unit 11, kanji extraction condition setting unit 12, kanji extraction unit 13, word dictionary storage unit 14, A word extraction control unit 15, a word extraction unit 16, a word list output unit 17, an answer reception unit 18, an answer analysis unit 19, and an output control unit 20 are realized. The program may be provided in a state where it is recorded on a recording medium such as a flexible disk, a CD-ROM, a DVD-ROM, or a memory card.

  The kanji dictionary storage unit 11 is a database (Data Base) that stores kanji corresponding to the first character string and kanji information related to how to read the kanji, familiarity, the number of strokes, and the like.

  The kanji extraction condition setting unit 12 sets a kanji condition (hereinafter referred to as “kanji extraction condition”) to be extracted from the kanji dictionary storage unit 11 based on a user operation input, and this kanji extraction condition is set as the kanji extraction unit. 13 is an arithmetic processing unit. This kanji extraction condition includes, for example, the familiarity of extracted kanji, the number of kanji extracted, the number of kanji readings extracted, the number of strokes of kanji extracted, and the like. The kanji extraction condition setting unit 12 may set the designated kanji itself as the kanji extraction condition when a specific kanji is designated by the user.

  The kanji extraction unit 13 is an arithmetic processing unit that extracts kanji and kanji information of the kanji from the kanji dictionary storage unit 11 based on kanji extraction conditions. The extracted kanji and kanji information are input to the word extraction control unit 15. When a specific kanji is set as the kanji extraction condition, the kanji extraction unit 13 extracts the kanji and kanji information of the kanji from the kanji dictionary storage unit 11.

  The word dictionary storage unit 14 is included in the word or sentence corresponding to the second character string, how to read kanji included in the word or sentence, familiarity of the word included in the word or sentence, and the word or sentence. It is a database that stores information relating to the quantity of characters (hereinafter referred to as “word information”).

  The word extraction control unit 15 sets a condition for a word to be extracted from the word dictionary storage unit 14 (hereinafter referred to as “word extraction condition”) based on the kanji and the kanji information input from the kanji extraction unit 13. This is an arithmetic processing unit that inputs this word extraction condition to the word extraction unit 16 and causes the word extraction unit 16 to extract a word (group) from the word dictionary storage unit 14. Specifically, the word extraction control unit 15 extracts words (groups) or sentences (groups) from the word dictionary storage unit 14 to the word extraction unit 16 so as to cover all kanji readings included in the word extraction conditions. Let Note that the word extraction condition includes at least the kanji input from the kanji extraction unit 13 and how to read all the kanji.

  The word extraction unit 16 is an arithmetic processing unit that extracts a word (group) or a sentence (group) corresponding to the second character string from the word dictionary storage unit 14 based on the word extraction condition. The extracted word (group) or sentence (group) is input to the word list output unit 17.

  The word list output unit 17 outputs a list of words (groups) input from the word extraction unit 16 (hereinafter referred to as “word list”) to the user in the case of a word list creation operation to be described later. It is. Here, the word list output unit 17 outputs a part of the word list in the case of a learning operation described later. As a method for outputting the word (group), for example, it may be displayed on a display or printed out on paper. In the case of a learning operation, the presented word (group) is also output to the answer analysis unit 19.

  The answer receiving unit 18 is an interface device that receives information about how to read the word from the learner (hereinafter referred to as “answer information”) for the word output from the word list output unit 17. As a method for receiving the answer information, for example, a keyboard or an optical reading device can be used. The answer information received from the learner is input to the answer analysis unit 19.

  The answer analysis unit 19 is an arithmetic processing unit that determines whether the answer information is correct based on the answer information input from the answer receiving unit 18 and the words output by the word list output unit 17. This determination result is input to the output control unit 20.

  The output control unit 20, based on the determination result input from the answer analysis unit 19, the word output from the word list of the word list output unit 17, how to read the kanji included in the output word, and the output order of the words It is the arithmetic processing part which changes etc.

  Such a language learning device 1 performs a word list generation operation for generating a word list composed of a plurality of words and sentences based on the set kanji extraction conditions. Further, the language learning device 1 outputs some words and sentences from the generated word list to a page and a display screen, and receives an answer from the user regarding how to read the kanji contained in the outputted words and sentences. A learning operation is performed in which the learner learns how to read all the kanji contained in the words and sentences in the word list by changing the words and sentences to be output depending on whether the answer is correct. Details of the word list generation operation and learning operation will be described below.

[Word list creation operation]
First, the word list creation operation will be described with reference to the flowchart of FIG. When a kanji extraction condition is set by the kanji extraction condition setting unit 12 based on a user operation input (step S201), the kanji extraction unit 13 receives kanji and kanji information from the kanji dictionary storage unit 11 based on the kanji condition. Extracted and input to the word extraction control unit 15 (step S202). Here, as the kanji extraction condition, for example, the condition for the familiarity may be set such that the familiarity of the extracted Chinese characters is 6.0 or more. For example, the condition may be set for the number of Chinese characters to be extracted such that the number of extracted Chinese characters is 100. Further, for example, a condition may be set for the number of kanji readings such as kanji having a plurality of readings. In addition, for example, the condition may be set for the number of strokes of Chinese characters to be extracted such that the number of strokes is 10 or more. As a result, the word extraction control unit 15 receives at least one kanji and kanji information including information such as how to read the kanji, familiarity, and the number of strokes.

  Next, the word extraction control unit 15 sets word extraction conditions based on the input kanji and kanji information (step S203). For example, when the kanji “yama” is input from the kanji extraction unit 13, the extraction condition includes the kanji “yama” and all the readings of “yama”, that is, “yama”, “san”, “zan” ", And information on how to read" sen ".

  Next, the word extraction unit 16 extracts a word (group) from the word dictionary storage unit 14 based on the input word extraction condition (step S204). Here, the word extraction unit 16 extracts a word (group) from the word dictionary storage unit 14 so that one or more words are extracted for each reading of each Chinese character included in the word condition. For example, if the word extraction condition includes the Chinese character “mountain”, the word extraction unit 16 performs “wild cat”, “Mt. Fuji”, “mountain”, “Oyama”. A plurality of words are extracted so as to cover all the readings of kanji such as “mountain”.

  When a word (group) is extracted from the word dictionary storage unit 14, the word extraction control unit 15 determines whether or not the extracted word (group) covers all the kanji readings included in the word extraction condition. Confirmation (step S205). This confirmation is performed by comparing the kanji included in the word extraction condition and how to read the kanji, the word (group) extracted from the word dictionary storage unit 14, and the kanji reading included in the word.

  When not all the readings are covered (step S205: NO), the word extraction control unit 15 returns to the process of step S203 and resets the word information. In this resetting operation, for example, confirmation of kanji included in the word extraction condition and how to read the kanji is performed.

  On the other hand, if all readings are covered (step S205: YES), the word extraction control unit 15 causes the word list output unit 17 to input the word (group) extracted by the word extraction unit 16.

  Next, the word list output unit 17 makes a list of words (groups) input from the word extraction unit 16 and displays it on the display screen or prints it out on paper (step S206). By presenting the word list in this way, the user of the language learning device 1 can confirm a word that covers all how to read a predetermined kanji. The word list includes at least all the words extracted by the word extraction unit 16 and how to read the kanji included in the words.

  Thus, according to the present embodiment, a list of words including a plurality of readings of kanji is automatically created, so that the learner can effectively learn the language.

[Learning behavior]
Next, a learning operation by the language learning device 1 will be described with reference to FIG. When an instruction to learn using the language learning device 1 is detected by a learner's operation input, the word list output unit 17 determines a predetermined number of words to be presented at a time, the order in which words are output, and the like. Based on the determined output condition, a part of the words input from the word extraction unit 16 is output (step S301).

  Next, when the answer receiving unit 18 receives an answer from the learner about how to read the word output from the word list output unit 17 (step S302), the answer analyzing unit 303 determines whether the answer is correct (step S303). ). This determination is performed by comparing the reading of the kanji included in the word output from the word list output unit 17 and the reading of the kanji received by the answer receiving unit 18 from the learner.

  If the answer is correct (step S303: YES), the output control unit 20 deletes the word corresponding to the answer from the word list of the word list output unit 17 (step S304). Thereby, it is possible to prevent the same word from being output repeatedly.

  When all the words included in the word list are read correctly (step S305: YES), the language learning device 1 ends the operation. On the other hand, when all the words are not correctly read (step S305: NO), the output control unit 20 outputs words that have not been correctly answered from the word list of the word list output unit 17. (Step S306), and the process returns to step S301.

  On the other hand, if the answer is wrong (step S303: NO), the output control unit 20 sets an output condition so as to output a word that has not yet been correctly answered from the word list of the word list output unit 17 (step S303). S306), the process returns to step S301.

  Thus, according to the present embodiment, the words in the word list to be presented to the learner are controlled based on the answer of the learner, so the learner learns according to his / her degree of understanding. be able to. As a result, according to the present embodiment, the learner can effectively learn the language.

[Second Embodiment]
Next, a second embodiment according to the present invention will be described. The present embodiment is the same as the language learning apparatus 1 according to the first embodiment described above, except that the configuration and operation of the word extraction control unit 15 and the word extraction unit 16 are different. Therefore, in the present embodiment, the same components as those in the first embodiment are denoted by the same names and reference numerals, and description thereof will be omitted as appropriate. Similarly, the learning operation is the same as that in the first embodiment described above, and thus the description thereof will be omitted as appropriate.

  The word extraction control unit 15 sets a word extraction condition based on the kanji and kanji information input from the kanji extraction unit 13, inputs the word extraction condition to the word extraction unit 16, and stores the word dictionary in the word extraction unit 16. It is an arithmetic processing unit that extracts a word (group) from the unit 14. Specifically, the word extraction control unit 15 extracts words (groups) or sentences (groups) so as to cover all the kanji readings included in the word extraction conditions, and extracts the extracted words (groups) or The word extraction unit 16 is caused to extract a word (group) or a sentence (group) from the word dictionary storage unit 14 so that the number of sentences (group) is minimized.

  The word extraction unit 16 is an arithmetic processing unit that extracts a word (group) or a sentence (group) corresponding to the second character string from the word dictionary storage unit 14 based on a word extraction condition. The extracted word (group) or sentence (group) is input to the word list output unit 17.

  Next, the word list creation operation of the language learning device 1 according to the present exemplary embodiment will be described with reference to the flowchart of FIG. In FIG. 4, the same steps as those in the flowchart shown in FIG. 2 are denoted by the same reference numerals as those in FIG.

  First, when a kanji condition is set by the kanji extraction condition setting unit 12 (step S201), the kanji extraction unit 13 extracts kanji and kanji information from the kanji dictionary storage unit 11 based on the kanji condition, and word extraction control is performed. Input to the unit 15 (step S202).

  Next, the word extraction control unit 15 sets word extraction conditions based on the input kanji and kanji information, and causes the word extraction unit 16 to extract a word (group) from the word dictionary storage unit 14 (steps S203 to 402). ). Here, the word extraction control unit 15 causes the word extraction unit 16 to extract words (groups) from the word dictionary storage unit 14 so as to cover all the kanji readings included in the word extraction conditions.

  When a word (group) is extracted from the word dictionary storage unit 14, the word extraction control unit 15 checks whether or not the extracted word (group) covers all the kanji readings included in the word information. (Step S401). When not all the readings are covered (step S401: NO), the word extraction control unit 15 returns to the process of step S203 and resets the word information. In this resetting operation, for example, confirmation of kanji included in the word information and how to read the kanji is performed.

  On the other hand, when all the readings are covered (step S401: YES), the word extraction control unit 15 for each combination of readings of all the kanji characters included in the word information from the extracted word (group). One word is extracted by the word extraction unit 16 (step S402).

  When the number of extracted words (groups) is not the minimum, that is, when one word is not extracted for each combination of readings of all kanji characters included in the word information (step S402: NO), the word extraction control unit 15 Returning to the process of step S203, the word information is reset. In this resetting operation, for example, confirmation of kanji included in the word information and how to read the kanji is performed.

  When the number of extracted words (groups) is minimum, that is, one word is extracted for each combination of readings of all kanji included in the word information (step S402: YES), the word extraction control unit 15 The word extraction unit 16 inputs the extracted word (group) to the word list output unit 17.

  Next, the word list output unit 17 lists and outputs the list of words (groups) input from the word extraction unit 16 (step S206).

  Thus, according to the present embodiment, a list of words including a plurality of readings of kanji is automatically created, so that language learning can be performed effectively. Further, according to the present embodiment, since the number of extracted words is minimized, unnecessary repeated use of words can be avoided, and as a result, language learning can be performed effectively.

[Third Embodiment]
Next, a third embodiment according to the present invention will be described. This embodiment is the same as the first and second embodiments described above except that the word extraction control unit 15 and the word extraction unit 16 are different in configuration and operation. Therefore, in the present embodiment, the same components and elements as those in the first and second embodiments are denoted by the same names and reference numerals, and description thereof is omitted as appropriate. Similarly, the learning operation is the same as that in the first embodiment described above, and thus the description thereof will be omitted as appropriate.

  The word extraction control unit 15 sets a word extraction condition based on the kanji and kanji information input from the kanji extraction unit 13, inputs the word extraction condition to the word extraction unit 16, and stores the word dictionary in the word extraction unit 16. It is an arithmetic processing unit that extracts a word (group) from the unit 14. Specifically, the word extraction control unit 15 extracts words (groups) or sentences (groups) so as to cover all the kanji readings included in the word extraction conditions, and extracts the extracted words (groups) or The word extraction unit 16 extracts the word (group) or the sentence (group) from the word dictionary storage unit 14 so as to be included in the sentence (group).

  The word extraction unit 16 is an arithmetic processing unit that extracts a word (group) or a sentence (group) corresponding to the second character string from the word dictionary storage unit 14 based on the word extraction condition. The extracted word (group) or sentence (group) is input to the word list output unit 17.

  Next, the word list creation operation of the language learning device 1 according to the present exemplary embodiment will be described with reference to the flowchart of FIG. In FIG. 4, the same steps as those in the flowchart shown in FIG. 2 are denoted by the same reference numerals as those in FIG.

  First, when a kanji extraction condition is set by the kanji extraction condition setting unit 12 (step S201), the kanji extraction unit 13 extracts kanji and kanji information from the kanji dictionary storage unit 11 based on the kanji extraction condition, and the word It inputs into the extraction control part 15 (step S202).

  Next, the word extraction control unit 15 sets word extraction conditions based on the input kanji and kanji information, and causes the word extraction unit 16 to extract words (groups) from the word dictionary storage unit 14 (steps S203 to S502). ). Here, the word extraction control unit 15 covers all the kanji readings included in the word extraction condition for the word (group), and the average word familiarity of the extracted word (group) is maximized. The word extraction unit 16 extracts the word (group) from the word dictionary storage unit 14.

  Specifically, when a word (group) is extracted from the word dictionary storage unit 14, the word extraction control unit 15 first covers all the readings of kanji included in the word information. (Step S501). When not all the readings are covered (step S501: NO), the word extraction control unit 15 returns to the process of step S203 and resets the word information. In this resetting operation, for example, confirmation of kanji included in the word information and how to read the kanji is performed.

  On the other hand, when all the readings are covered (step S501: YES), the word extraction control unit 15 extracts a combination that maximizes the average of the intimacy of the extracted word (group) (step S502).

  By repeating the above-described steps S203 to S502 and performing the calculation, the word extraction control unit 15 extracts a combination that maximizes the average of the intimacy of the word (group). This calculation involves solving a combinatorial optimization problem in which the number of extracted words is n and the average ΣFi / n of the intimacy Fi of the extracted words is maximized under the constraint that all kanji readings appear. Is called. This solution can be obtained by dynamic programming or branch and bound methods. In addition, since the number of kanji and the number of readings is large, the scale of the combinatorial optimization problem becomes large, and even when a dynamic programming method or branch and bound method cannot provide a realistic solution, the greedy method, A solution can be obtained by using an approximate solution such as a stingy method, a random method, a relaxation method, a division method, a partial enumeration method, an iterative improvement method, or an annealing method.

  When the word (group) having the maximum familiarity is extracted (step S502: YES), the word extraction control unit 15 inputs the word (group) extracted by the word extraction unit 16 to the word list output unit 17. Let

  Next, the word list output unit 17 lists and outputs the list of words (groups) input from the word extraction unit 16 (step S206).

  Thus, according to the present embodiment, a list of words including a plurality of readings of kanji is automatically created, so that language learning can be performed effectively. In addition, according to the present embodiment, since the word (group) having the maximum familiarity is extracted, simple and important words and sentences can be selectively used, and simple and important words and sentences can be selectively used. Learning can be done in parallel.

[Fourth Embodiment]
Next, a fourth embodiment according to the present invention will be described. The present embodiment is the same as the first to third embodiments described above except that the configuration and operation of the word extraction control unit 15 and the word extraction unit 16 are different. Therefore, in this embodiment, the same name and code | symbol are attached | subjected about the component equivalent to 1st-3rd embodiment, and description is abbreviate | omitted suitably. Similarly, the learning operation is the same as that in the first embodiment described above, and thus the description thereof will be omitted as appropriate.

  The word extraction control unit 15 sets a word extraction condition based on the kanji and kanji information input from the kanji extraction unit 13, inputs the word extraction condition to the word extraction unit 16, and stores the word dictionary in the word extraction unit 16. It is an arithmetic processing unit that extracts a word (group) from the unit 14. Specifically, the word extraction control unit 15 extracts words (groups) or sentences (groups) so as to cover all the kanji readings included in the word extraction conditions, and extracts the words (groups) or sentences (groups) to be extracted. ) From the word dictionary storage unit 14 to the word extraction unit 16 so that the average word familiarity of the extracted word (group) or sentence (group) is maximized. A sentence (group) is extracted.

  The word extraction unit 16 is an arithmetic processing unit that extracts a word (group) or a sentence (group) corresponding to the second character string from the word dictionary storage unit 14 based on a word extraction condition. The extracted word (group) or sentence (group) is input to the word list output unit 17.

  Next, the word list creation operation of the language learning device 1 according to the present exemplary embodiment will be described with reference to the flowchart of FIG. In FIG. 4, the same steps as those in the flowchart shown in FIG. 2 are denoted by the same reference numerals as those in FIG.

  First, when a kanji extraction condition is set by the kanji extraction condition setting unit 12 (step S201), the kanji extraction unit 13 extracts kanji and kanji information from the kanji dictionary storage unit 11 based on the kanji extraction condition, and the word It inputs into the extraction control part 15 (step S202).

  Next, the word extraction control unit 15 sets word extraction conditions based on the input kanji and kanji information, and causes the word extraction unit 16 to extract words (groups) from the word dictionary storage unit 14 (steps S203 to S603). ). Here, the word extraction control unit 15 covers all the readings of kanji in which the word (group) is included in the word extraction condition, the number of words (group) to be extracted is minimized, and the word (group) to be extracted The word extraction unit 16 is made to extract words (groups) from the word dictionary storage unit 14 so that the average of word familiarity is maximized.

  Specifically, when a word (group) is extracted from the word dictionary storage unit 14, the word extraction control unit 15 first covers all the readings of kanji included in the word information. It is confirmed whether or not (step S601). When not all the readings are covered (step S601: NO), the word extraction control unit 15 returns to the process of step S203 and resets the word information. In this resetting operation, for example, confirmation of kanji included in the word information and how to read the kanji is performed.

  On the other hand, when all the readings are covered (step S601: YES), the word extraction control unit 15 for each combination of readings of all the Chinese characters included in the word information from the extracted word (group). One word is extracted by the word extraction unit 16 (step S402).

  When the number of extracted words (groups) is not the minimum, that is, when one word is not extracted for every combination of readings of all kanji characters included in the word information (step S602: NO), the word extraction control unit 15 Returning to the process of step S203, the word information is reset. In this resetting operation, for example, confirmation of kanji included in the word information and how to read the kanji is performed.

  When the number of extracted words (groups) is the minimum, that is, when one word is extracted for each combination of readings of all Chinese characters included in the word information (step S602: YES), the word extraction control unit 15 A combination with which the average of the intimacy of the extracted word (group) is maximized is extracted (step S603).

  By repeating the above-described steps S203 to S603 and performing the calculation, the word extraction control unit 15 covers all the kanji readings whose words (groups) are included in the word extraction condition, and extracts the word (group) to be extracted. The word extraction unit 16 is made to extract words (groups) from the word dictionary storage unit 14 so that the quantity is minimized and the average word familiarity of the extracted word (group) is maximized. As the above calculation, under the constraint that all readings of kanji appear, the combination optimization problem is solved that minimizes the number n of extracted words and maximizes the average ΣFi / n of the familiarity Fi of the extracted words. Is done. This solution can be obtained by dynamic programming or branch and bound methods. In addition, since the number of kanji and the number of readings is large, the scale of the combinatorial optimization problem becomes large, and even when a dynamic programming method or branch and bound method cannot provide a realistic solution, the greedy method, A solution can be obtained by using an approximate solution such as a stingy method, a random method, a relaxation method, a division method, a partial enumeration method, an iterative improvement method, or an annealing method.

  When the word (group) having the maximum familiarity is extracted (step S603: YES), the word extraction control unit 15 inputs the word (group) extracted by the word extraction unit 16 to the word list output unit 17. Let

  Next, the word list output unit 17 lists and outputs the list of words (groups) input from the word extraction unit 16 (step S206).

  Thus, according to the present embodiment, a list of words including a plurality of readings of kanji is automatically created, so that language learning can be performed effectively. Further, according to the present embodiment, since the number of extracted words is minimized, unnecessary repeated use of words can be avoided. Furthermore, according to the present embodiment, since the word (group) having the maximum familiarity is extracted, simple and important words and sentences can be selectively used, and simple and important words and sentences can be selectively used. Learning can be done in parallel.

  In addition, the language learning apparatus shown in the first to fourth embodiments described above learns a kanji as a first character string and a Japanese kanji using a word or sentence including the kanji as a second character string. Although the example has been described, the language is not limited to Japanese kanji as long as the language has a plurality of readings for the same character string, and can be applied to learning of various languages. For example, in English, words such as “the” and “bow” are read differently depending on context and meaning. The language learning apparatus shown in the first to fourth embodiments described above can also be applied to such English.

  Moreover, in the language learning apparatus shown in the first to fourth embodiments described above, the word list is created based on the kanji extracted from the kanji dictionary storage unit 11, but the word based on the kanji input by the user is used. A list may be created. Thereby, it becomes possible to learn about the kanji desired by the user.

  Further, in the language learning devices described in the first to fourth embodiments described above, the word (group) is extracted from the word dictionary storage unit 14 in the word list creation operation and the learning operation. In addition, text (group) may be extracted. This makes it possible to effectively learn how to read kanji in accordance with the context of the sentence.

It is a block diagram which shows the structure of the language learning apparatus of this invention. It is a flowchart which shows the word list creation operation | movement of the language learning apparatus concerning the 1st Embodiment of this invention. It is a flowchart which shows the learning operation | movement of the language learning apparatus of this invention. It is a flowchart which shows the word list creation operation | movement of the language learning apparatus concerning the 2nd Embodiment of this invention. It is a flowchart which shows the word list creation operation | movement of the language learning apparatus concerning the 3rd Embodiment of this invention. It is a flowchart which shows the word list creation operation | movement of the language learning apparatus concerning the 4th Embodiment of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Language learning apparatus, 11 ... Kanji dictionary storage part, 12 ... Kanji extraction condition setting part, 13 ... Kanji extraction part, 14 ... Word dictionary storage part, 15 ... Word extraction control part, 16 ... Word extraction part, 17 ... Word List output unit, 18 ... answer receiving unit, 19 ... answer analyzing unit, 20 ... output control unit.

Claims (7)

A language learning method using a word dictionary storing a plurality of words and at least how to read each word,
An acquisition step of acquiring a first character string having a plurality of readings;
An extraction step of extracting a second character string including the first character string from the word dictionary for each reading of the first character string;
A language learning method comprising: a presentation step of presenting a second character string extracted by the extraction step to a learner. The language learning method according to claim 1, wherein the extracting step minimizes the number of the second character strings extracted from the word dictionary for each reading of the first character string. The word dictionary stores intimacy, which is a value indicating the degree of subjective familiarity of each word,
3. The language according to claim 1, wherein the extracting step maximizes an average familiarity of the second character string extracted from the word dictionary for each reading of the first character string. Learning method. An accepting step of accepting answer information from the learner regarding how to read the first character string in the second character string;
A determination step of determining whether or not the reading of the first character string included in the answer information is correct;
4. The language learning according to claim 1, further comprising: a selection step of selecting a second character string to be presented in the presentation step based on a determination result of the determination unit. 5. Method. A language learning device using a word dictionary storing a plurality of words and at least how to read each word,
Obtaining means for obtaining a first character string having a plurality of readings;
Extracting means for extracting a second character string including the first character string from the word dictionary for each reading of the first character string;
A language learning apparatus comprising: a presentation unit that presents a second character string extracted by the extraction unit to a learner. A language learning device program using a word dictionary storing a plurality of words and at least how to read each word,
On the computer,
An acquisition step of acquiring a first character string having a plurality of readings;
An extraction step of extracting a second character string including the first character string from the word dictionary for each reading of the first character string;
A program for causing the learner to present a second character string extracted by the extraction step.   A recording medium storing the program according to claim 6.

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