JP2009140074A - Term difficulty level diagnostic device and term difficulty level diagnostic program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a term difficulty level diagnostic device capable of diagnosing and making uniform difficulty levels of terms in a content. <P>SOLUTION: The term difficulty level diagnostic device comprises an information storage section 1-5 which have terms and terms having the same meanings with the terms and differing in difficulty level, and a term difficulty level conversion database showing correspondence to the difficulty levels of those terms, an information analysis section 1-4 which searches a content with character information transmitted from a web server 1-103 through a network 1-102 and a transmission/reception section 1-3 for the same term as a term in the term difficulty level correspondence database, obtains the difficulty level of the searched using the term difficulty level correspondence database and decides whether the difficulty level of the term having been searched for is different from a predetermined reference difficulty level, and an information output sections 1-6 each of which presents that a term decided to have a difficulty level different from the predetermined reference difficulty level is different in difficulty level and urges correction of the term. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a term difficulty level diagnosis device and a term difficulty level diagnosis program that extract terms included in sentences such as web contents and diagnose them using a term difficulty level correspondence table prepared in advance.

  With the development of the Internet society, opportunities for acquiring information through web contents and the like via the Internet have increased. Along with that, the importance of web accessibility has been screamed. Accessibility is to make it possible to access web content, and it is also considered to convey information by converting characters into speech, such as a voice browser system (see Patent Document 1).

  However, even if you can access the web, whether it is an auditory method using sound or a visual method, it does not make sense unless you understand the meaning of the characters. The main means of information transmission on the web is written characters. In information transmission by video, information may be supplemented by non-linguistic information such as gestures in addition to language.

However, in information transmission using only characters such as the web, if the term of characters exceeds the knowledge level of the user, information may not be transmitted only by characters or may cause misunderstanding, and information may not be transmitted. . On the other hand, if the term is explained in an easy-to-understand manner, it will be a redundant expression for the user who understands the term, resulting in a problem that it takes time to acquire information. In order to accurately convey the meaning of letters, it is necessary to keep the difficulty of terms constant. There has been no device for diagnosing the difficulty level of such terms.
JP-A-11-249867

  If you can't convey the meaning of an esoteric term correctly, you can't say that the information was conveyed correctly. Conventionally, the user has been required to learn and learn the meaning of these terms. On the other hand, on the side where information is transmitted, the level of the user is set at a certain point, and information is transmitted using terms that can be understood by the assumed user.

  However, it is difficult to send information using terms with a certain level of difficulty. If the difficulty level cannot be kept constant, it is difficult to create content tailored to users of various knowledge levels. There is a problem that a part with high difficulty and a part with low difficulty are mixed in one content, and it is not at a certain level. If the difficulty level is high, it is difficult to grasp the meaning accurately. Conversely, if the difficulty level is low, it is easy to understand the meaning, but redundant information is provided, and the information transmission efficiency is poor. There is a problem. Therefore, it is important to keep the difficulty level in the content constant, but there is a problem that it is difficult to realize because there is no standard.

  The present invention solves the above problems, and an object thereof is to provide a term difficulty level diagnosis device and a term difficulty level diagnosis program capable of diagnosing the difficulty level of terms in content and making them uniform. .

  In the present invention, the degree of difficulty of information provided to the user, that is, the term such as a word or a sentence included in the sentence, is measured to diagnose whether the difficulty level in the content is constant. By setting the level of difficulty desired by the user, extracting and warning the part that does not match the level of difficulty, if the web content provider makes corrections, the terms in the content can be matched to the desired level of difficulty. .

  That is, the term difficulty level diagnosis device according to claim 1 is a device for diagnosing the difficulty level of a term included in content having character information, the term and a term having a different difficulty level having the same meaning as the term. , Searching for a term that is the same as the term in the term difficulty correspondence database from information storage means having a term difficulty correspondence database that represents correspondence with the difficulty level of the terms, and content having character information, Information analysis means for determining the difficulty level of the searched term using the term difficulty level correspondence database and determining whether the difficulty level of the searched term is different from a predetermined reference difficulty level It is characterized by.

  According to the above configuration, presence of terms having different difficulty levels is diagnosed in the same content. For this reason, it becomes possible to arrange the level of difficulty of sentence expression in the same content based on the diagnosis result.

  The term difficulty diagnosis device according to claim 2 is the term difficulty diagnostic device according to claim 1, wherein the predetermined reference difficulty is obtained by counting the number of searched terms for each difficulty, and the result is the same among the totaled results. The number of difficulty terms is set to the largest number of difficulty levels, and the information analysis means presents that the difficulty level is different for the terms determined to be different from the maximum number of difficulty levels. It is characterized by prompting correction.

  According to the said structure, the difficulty of the term in the same content can be unified to the largest number of difficulty.

  The term difficulty diagnostic device according to claim 3 is the term difficulty diagnosis device according to claim 1, wherein the predetermined reference difficulty is a preset difficulty, and the information analysis means is different from the preset difficulty. It is characterized by presenting that the degree of difficulty is different for the term determined as and prompting the correction of the term.

  According to the above configuration, the difficulty level of terms in the same content can be unified to a desired difficulty level set in advance.

  Further, the term difficulty diagnostic device according to claim 4 further comprises a correcting means for correcting a term determined to be different from the predetermined reference difficulty in any one of claims 1 to 3, The information analysis means adds the terms corrected by the correction means to the term difficulty correspondence database.

  According to the above configuration, the term difficulty database can be enriched as the terms are corrected.

  The term difficulty degree diagnosis program according to claim 5 is a program that causes a computer to function as each means according to any one of claims 1 to 4.

(1) According to the first to fifth aspects of the invention, the level of difficulty of sentence expression can be made uniform within the same content. If the difficulty levels can be aligned, it is possible to acquire information at an optimum level for a user of a knowledge level that matches the difficulty level. Moreover, if the level is changed and presented according to the user, information can be acquired at an optimum level for each user having different knowledge.
(2) According to the invention described in claim 2, it is possible to unify the difficulty levels of terms in the same content to the maximum difficulty level.
(3) According to the invention described in claim 3, it is possible to unify the difficulty level of terms in the same content to a desired difficulty level set in advance.
(4) According to the invention described in claim 4, for example, as the web content provider performs correction, data is accumulated, and the term difficulty level correspondence database can be enriched. Accordingly, it is possible to increase the number of correction candidates by consolidating the ideas of various web content providers.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings, but the present invention is not limited to the following embodiments. The term difficulty diagnostic device of the present invention is configured, for example, as shown in FIG. This is an example embedded in a web browser.

  In FIG. 1, a browser system 1-101 includes an information input unit 1-1, a control unit 1-2, a transmission / reception unit 1-3, an information analysis unit (information analysis unit) 1-4, and an information storage unit (information storage unit). 1-5 and an information output unit 1-6.

  The browser system 1-101 is realized by, for example, a personal computer (PC). In this case, the control unit 1-2, the transmission / reception unit 1-3, the information analysis unit 1-4, and the information storage unit 1-5 are PCs. In the main body, the information input unit 1-1 corresponds to an input device such as a keyboard and a mouse, and the information output unit 1-6 corresponds to a display and a speaker.

  The control unit 1-2 controls each operation of the information input unit 1-1, the transmission / reception unit 1-3, the information analysis unit 1-4, the information storage unit 1-5, and the information output unit 1-6.

The browser system 1-101 shown in FIG. 1 communicates with the web server 1-103 via the network 1-102 to receive and display web content.
(Example 1)
Embodiment 1 is an example in which a term difficulty diagnostic device is provided in a local PC, and information sent via the Internet or the like is converted and displayed. In the first embodiment, the information storage unit 1-5 shown in FIG. 1 has a term difficulty correspondence database (hereinafter abbreviated as term correspondence DB). Further, the web content received from the web server 1-103 is recorded in the information storage unit 1-5.

  The operation of the term difficulty diagnostic device of the first embodiment will be described with reference to the flowchart of FIG. First, in step S2-1, the file name and the file position of the web content recorded in the information storage unit 1-5 are specified from the keyboard of the information input unit 1-1. In the present embodiment, a method for unifying the difficulty level of web content will be described, but the same method can be applied to sentences other than web content.

  In step S2-2, the information output unit 1-6 renders information and displays it on the display. An example of the web content displayed on the display and the user interface portion of the device is shown in FIG.

  Next, in step S2-3, the content is analyzed by the information analysis unit 1-4, and a term matching the input level is searched using the term correspondence DB.

  The term correspondence DB is recorded in advance in the information storage unit 1-5 in the format shown in Table 1.

  In Table 1, the term numbers are given for explanation and may not be given. For one term, terms corresponding to difficulty levels from 1 to 3 are recorded. Here, level 1 is the most difficult term and level 3 is the easiest term. In this embodiment, the difficulty level is described in three stages, but the difficulty level is arbitrary and may be set to any number. Moreover, the horizontal bar in Table 1 indicates that there is no such item.

  The terms registered in the term correspondence DB are sequentially searched from the target web contents. The target web content will be described with reference to FIG. First, referring to Table 1, the word “DL” is searched. The search method may be a conventional character search method such as pattern matching. Subsequently, the web contents in FIG. 3 are searched in order of “download”, “copy from server”, “install”,.

  Next, in step S2-4, the numerical value of the difficulty level of the term is recorded in the information storage unit 1-5. For example, the term “install” is found in the web content of FIG. This is written in the analysis result table shown in Table 2.

  This analysis result table is recorded in the information storage unit 1-5 (memory). Since the difficulty level of “installation” is level 2 with reference to Table 1, the difficulty level of Table 2 is additionally written as 2. In addition, it records where it starts in the original HTML file. In the example of “Install” in Table 2, this is from the fifth character on the tenth line. In the display of FIG. 3, it is displayed on the first line or the like, but since this is a display after rendering, it does not coincide with the position in the HTML source. Similarly, the search is performed, and the results are sequentially added to Table 2. The results are shown in Table 2.

  Next, in step S2-5, the numerical values of the difficulty levels in Table 2 are tabulated. The result is recorded in the difficulty level tabulation result in Table 3.

  From this result, level 2 is found in 6 places, so the most difficulty level is 2. This result is added to Table 2.

  Next, in step S2-6, in order from the location of reference number 1 in Table 2, those having a difficulty level different from the most difficult difficulty level 2 are extracted. Here, a description will be given of the output of the item of reference number 5 in Table 2. Since the level of the item of reference number 5 is 3 and the most difficulty level is 2, it can be seen that the level difference is 1.

  Next, in step S2-7, it is determined whether the level of the item of reference number 5 is difficult compared with the most difficult level. Since the level of the item of reference number 5 is 3 and the most difficulty level is 2, it can be seen from Table 2 that it is simpler than the most difficulty level. Therefore, the process proceeds to step S2-9, where the information is displayed on the display of the information output unit 1-6 as shown in FIG. In FIG. 3, “Please correct to 1 level professional expression” is displayed.

  On the other hand, if the level of the item with the reference number 5 is one level lower than the most difficulty level (a simpler expression), the process proceeds to step S2-8, and “Please correct to one level plain expression”. indicate.

  In FIG. 3, the term “restore the file before compression” of the item number 5 is displayed surrounded by a frame. A web content provider edits the correction target in the editing unit (correction unit) 3-2. Rewrite the input field on the left and press the enter button to correct the content.

  In FIG. 3, the text “restore the uncompressed file” in the input field is the correction target. This is because if only the term is corrected, the sentence may not always be connected well. In addition, the term “decompression” (the level 2 term in Table 1) is presented as a candidate for correction on the right side of the input field as to how the correction should be made. The web content provider makes corrections with reference to this. Further, although the correction candidate “decompression” is shown, when the “adopt” button is pressed, the correction candidate can be replaced with a word in the input column, and correction can be easily performed. If there are a plurality of candidates, the next correction candidate can be displayed by pressing the “switch” button. This will be described in detail later. Here, when the correction candidate is not liked, the web content provider may freely correct the text.

  Next, when the correction of the term in the input field is completed in step S2-10, the correction result is reflected in the original file and recorded in the information storage unit 1-5 in step S2-11. At the same time, the information output unit 1-6 outputs the converted web content as shown in FIG. FIG. 4 shows a state where the items of reference numbers 3 and 5 in Table 2 have been corrected.

  Here, in step S2-10, it is assumed that the web content provider uses the word “development” without selecting “decompression” when modifying the content shown in FIG. In FIG. 3, the user is instructed to use one level of difficult (technical) terms. Therefore, the term “development” used by the web content provider is added to the term correspondence DB in Table 1. Since this is a term that is one level more difficult than “restore the file before compression”, the level is 2, and this is shown in Table 4.

In Table 4, “Development” is added to the term number 10. In this way, there are a plurality of correction candidates whose levels are changed with respect to the term “restore the file before compression”. Therefore, as described above, when the “switch” button in FIG. 3 is pressed, the next correction candidate can be displayed. Note that the order of displaying the correction candidates may be the order in which they are displayed, or the order in which they are frequently used, and the method for determining them is arbitrary. In this way, the correction candidates can be added and increased as shown in Table 4 in response to the correction of the web content provider.
(Example 2)
As shown in FIG. 5, the second embodiment is an example in which a term difficulty diagnostic device is provided in a web server 5-103 and information sent via the Internet is converted and displayed. In this embodiment, the term storage DB is provided in the information storage unit 5-105 of the remote server 5-104 in FIG.

  By placing the term correspondence DB in the independent server 5-104 in this way, correction candidates from a plurality of web content providers can be accumulated and their expressions can be referred to.

  5, the browser system 5-101 includes an information input unit 5-1, a control unit 5-2, a transmission / reception unit 5-3, an information analysis unit (information analysis unit) 5-4, an information storage unit, as in FIG. (Information accumulation means) 5-5 and an information output unit 5-6 are provided.

  This browser system 5-101 is connected to a web server 5-103 and a remote server 5-104 via a network 5-102.

  The information storage unit 5-105 of the independent server 5-104 has the term difficulty correspondence database (term correspondence DB) described in Tables 1 and 4 above. The correction candidates described in (1) are accumulated.

  Therefore, the term correspondence DB stored in the information storage unit 5-105 in the server 5-104 is referred to operate in the same manner as the flowchart of FIG. Is determined by a method different from that in the first embodiment. That is, in the first embodiment, the same terms are tabulated separately like “Installation” in the reference numbers 1, 2, and 8 in Table 2. In other words, the number of statements is counted. However, if the term “installation” appears only once, it may be counted as one with reference numbers 1, 2, and 8. The results at this time are shown in Table 5.

  In addition, although the case where the difficulty level is based on the maximum number of difficulty levels in both the first and second embodiments has been described, the web content provider may specify the difficulty level in advance. For example, if the web content provider has designated difficulty level 2 in advance, in FIG. 2, in step S2-5, instead of “determining and recording the most difficult level (most number of difficulty levels)” In addition, if the most difficult difficulty level is replaced with the difficulty level designated in advance by the web content provider, the diagnosis can be performed by the same operation as the operation flow of FIG.

  The term difficulty diagnostic program of the present invention is a program for diagnosing the difficulty of a term included in content having character information, and has the same meaning as the term and the term from the content having character information. Searching for terms that are the same as the terms in the term difficulty correspondence database that indicates the correspondence between terms having different difficulty levels and the difficulty levels of those terms, and corresponding the difficulty levels of the searched terms to the term difficulty levels A step of obtaining using a database, and a step of determining whether or not the difficulty level of the searched term is different from a predetermined reference difficulty level.

  Specifically, for example, it is constructed as a program for executing each step of the operation flow of FIG.

  In addition, it is needless to say that the present invention can be realized by configuring a part or all of the functions of each means in the term difficulty diagnostic device of the present embodiment with a computer program and executing the program using the computer. A program for realizing the function of the computer is recorded on a computer-readable recording medium such as FD (Floppy (registered trademark) Disk), MO (Magneto-Optical disk), ROM (Read Only Memory), memory, etc. It can be recorded on a card, CD (Compact Disk) -ROM, DVD (Digital Versatile Disk) -ROM, CD-R, CD-RW, HDD, removable disk, etc., and can be stored or distributed. That. It is also possible to provide the above program through a network such as the Internet or electronic mail.

It is a block diagram of the term difficulty diagnostic device in Example 1 of this invention. It is a flowchart which shows operation | movement of the term difficulty diagnostic apparatus in Example 1 of this invention. It is an example of the display screen of the term difficulty diagnostic device in Example 1 of this invention. It is an example of the display screen of the term difficulty diagnostic device in Example 1 of this invention. It is a block diagram of the term difficulty diagnostic apparatus in Example 2 of this invention.

Explanation of symbols

  1-1, 5-1 ... information input unit, 1-2, 5-2 ... control unit, 1-3, 5-3 ... transmission / reception unit, 1-4, 5-4 ... information analysis unit, 1-5 5-5: Information storage unit, 1-6, 5-6 ... Information output unit, 1-101, 5-101 ... Browser system, 1-102, 5-102 ... Network, 1-103, 5-103 ... Web Servers, 3-1, 4-1 ... display unit, 3-2, 4-2 ... editing unit.

Claims (5)

An apparatus for diagnosing the difficulty level of a term included in content having character information,
An information storage means having a term difficulty correspondence database representing a correspondence between a term and a term having the same meaning as the term and having a different difficulty level and the difficulty level of the terms;
The content having the character information is searched for the same term as the term in the term difficulty level correspondence database, and the difficulty level of the searched term is obtained using the term difficulty level correspondence database. An information analysis means for determining whether or not a difficulty level of a term is different from a predetermined reference difficulty level. The predetermined reference difficulty level is calculated by counting the number of searched terms for each difficulty level, and among the totaled results, the number of the same difficulty level is set to the largest number of difficulty levels,
2. The term difficulty diagnosis according to claim 1, wherein the information analysis means presents that the degree of difficulty is different for a term determined to be different from the most difficulty level, and prompts correction of the term. apparatus. The predetermined standard difficulty is a preset difficulty,
2. The term difficulty according to claim 1, wherein the information analysis unit presents that the degree of difficulty is different for the term determined to be different from the preset difficulty level, and prompts correction of the term. Degree diagnostic device. Correction means for correcting a term determined to be different from the predetermined standard difficulty level;
The term difficulty diagnostic device according to any one of claims 1 to 3, wherein the information analysis unit adds the term corrected by the correcting unit to the term difficulty correspondence database.   A term difficulty diagnostic program for causing a computer to function as each means according to any one of claims 1 to 4.

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