JP2005018241A - Information processor, link designation file acquisition method, link designation file acquisition program and program recording medium - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information processor capable of accurately executing the voice recognition of a character string which has less difference of display pattern with an HTML sentence of an original sentence, and has difficult reading or has a plurality of reading, and capable of easily following a link by voice operation. <P>SOLUTION: In the information processor of the present invention, a character string capable of associating a link designation from the extracted text sentence is displayed while being emphasized. In the information processor of the present invention, reading is displayed on the whole or part of the character string to the character string having difficult reading, or another character string requiring caution for reading. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an information processing apparatus, a link destination file acquisition method, a link destination file acquisition program, and a program recording medium that recognize an input voice and acquire a next link destination file from a file such as hypertext.
[0002]
[Prior art]
2. Description of the Related Art In recent years, there are WWW (World Wide Web) systems that provide information such as images and sounds in a server / client format on a computer network, particularly via the Internet. In the WWW system, information is sent from the server to the client in a hypertext format called HTML (Hyper Text Mark-up Language). The client browses text written in HTML using an information browsing device called a browser.
[0003]
In the hypertext, in addition to the format of objects such as characters and photos to be displayed, the layout on the screen, a description of the link indicating that there is a link to other information, and the URL that is the link destination file name (Uniform Resource Locator) can be described. Links to other information are performed by reading other information from tags called links embedded in hypertext.
[0004]
In general browsers, link descriptions are usually displayed so that they can be distinguished from other text, such as by changing the font color or underlining. The description of the link and the URL are managed in association with each other. When a user specifies a description of a specific link using a pointing device such as a mouse or a keyboard, the browser uses a URL corresponding to this description to request information transmission to a server uniquely determined by the URL. . In this way, the user can access related information one after another by designating a link.
[0005]
On the other hand, browsers that employ voice recognition have also been proposed. For example, a character string serving as an anchor point and a link destination information embedded in the anchor point are extracted from a hypertext sentence, and a reading for speech recognition is given to the character string by referring to a reading database. A technique for loading a link destination sentence when a description of a desired link is read out is disclosed (see, for example, Patent Document 1). This document also discloses a technique for loading a link destination sentence when a unique number is assigned to each link destination information and the user inputs the number by voice.
[0006]
In addition, language analysis of the explanatory text associated with the link destination file is performed, a unique word that characterizes the explanatory text is selected, the selected word is registered in the word dictionary, and when the user reads a desired word, the link destination Is disclosed (see, for example, Patent Document 2). In this document, in order to make it easy to identify a speech-recognizable word, highlighting such as displaying the speech-recognizable word reading in the link explanation text in association with this word or changing the color is displayed. It has also been proposed to do.
[0007]
[Patent Document 1]
JP-A-10-124293 (Claim 1, paragraphs 0014 to 0017, paragraph 22)
[Patent Document 2]
JP-A-11-25098 (Claim 1, paragraphs 0046 to 0054)
[0008]
[Problems to be solved by the invention]
However, in the case of the invention described in Patent Document 1, character string readings are sequentially generated while accessing the reading database for character strings serving as anchor points. For this reason, if there are words that the user does not understand how to read, or words that have multiple readings such as the market (Shiba, Ichiba), etc. in the description of the link described in the HTML text, Since the reading is not displayed, there is a problem that the user cannot utter as the reading of the character string with the link description, and the link is not traced by voice operation.
[0009]
Further, in the case of the invention described in Patent Document 2, a unique word that can specify the explanatory text is selected from the explanatory text related to the link file, and the word reading is displayed in association with the word. For this reason, since the entire specified character string is read, there is a problem in that the display form is greatly different from the original HTML sentence. On the other hand, a method of not displaying the reading is also disclosed, but if there is a word that does not understand how to read, the user can not speak as the reading of the character string with the link description, and the link can be traced by voice operation There is no problem. Further, since the specified character string is a noun or noun phrase, the character string cannot be specified when the same noun or noun phrase exists. That is, there is a problem that the conditions for specifying the character string are narrowed.
[0010]
The present invention has been made in view of the above problems, and its purpose is that there is little difference between the original HTML text and the display form, and even if there is a character string that is difficult to read or has multiple readings, speech recognition can be performed accurately. An object of the present invention is to provide an information processing apparatus that can easily follow a link by voice operation.
[0011]
[Means for Solving the Problems]
In order to achieve the above object, an information processing apparatus of the present invention is an information processing apparatus that acquires a next linked file from a file acquired from a server on a network, and analyzes the acquired file, Character string extraction means for extracting the file name of the link destination file and the text sentence associated with the link destination file name, and character string specification for specifying the character string with which the link destination can be associated from the extracted text sentence Means, a notation for highlighting the specified character string, and a character string that is difficult to read in all or part of the character string, or a character string that requires careful reading, Or a notation generation means for generating a notation for displaying the reading in part, and the specified character string and the link destination file name, the link destination file name Using the management table to be registered in association, dictionary registration means for registering in the speech recognition dictionary to perform speech recognition on the character strings registered in the management table, and speech input from the user using the speech recognition dictionary Voice recognition means for performing speech recognition and link destination file name acquisition means for acquiring the corresponding link destination file name from the management table based on the recognition result of the voice recognition means.
[0012]
According to this configuration, a character string that can associate a link destination from the extracted text sentence is highlighted. The user can easily recognize a character string that can be input by voice. As a result, the user can easily select link destination information by reading out a desired character string.
[0013]
In addition, a character string that is difficult to read in all or part of the character string or a character string that requires attention to how to read is displayed in the whole or part of the character string. The user can easily know how to read the character string. In particular, reading is written only for a character string that is difficult to read or a character string that requires attention to reading, so the HTML text of the original text and the display form do not differ greatly.
[0014]
In the information processing apparatus according to the present invention, the notation generation unit uses the difficulty level information on how to read a word and is a word included in the specified character string, and is difficult to read than a preset difficulty level. For a word, a notation that displays how to read the word is generated.
[0015]
According to this configuration, reading of words that are difficult to read is given. As a result, the user can read correctly even if there is a word that does not know how to read in the character string, so the utterance content does not change.
[0016]
Further, in the information processing apparatus of the present invention, the notation generating means uses the difficulty level information related to how to read kanji and is a word included in the specified character string, and is more difficult to read than a preset difficulty level. A notation that displays how to read the kanji may be generated for a word that has.
[0017]
According to this configuration, reading of kanji that is difficult to read is given. As a result, even if there is a kanji that does not know how to read in the character string, the user can read it correctly, so the content of the utterance does not change. If all words have difficulty level information, the difficulty level information has a huge amount of information. However, if the difficulty level information is provided for thousands of Chinese characters as in the configuration of the present invention, the difficulty level information can be realized in a compact manner.
[0018]
Moreover, the said notation production | generation means shall be able to set the difficulty regarding the reading of a word, or the difficulty regarding the reading of a Chinese character by a user's instruction | indication. Thereby, the reference | standard which attaches how to read according to a user's language ability can be defined.
[0019]
The notation generation means uses the difficulty level information on how to read the word, and is a word included in the identified character string, and for a word having a plurality of readings, an appropriate reading of the word in the character string It is also possible to generate a notation for displaying.
[0020]
The notation generation unit may generate a notation for displaying proper noun readings for proper nouns included in the specified character string.
[0021]
The notation generation means displays the reading of the character string for the character string other than the kanji or kana included in the specified character string, using the reading information regarding the reading of the character string other than the kanji or kana. A notation may be generated. According to this configuration, since the reading can be displayed even for character strings other than kanji or kana such as English words and symbols, the content of the utterance cannot be changed.
[0022]
For the notation of reading, a notation that displays the reading of the character string associated with the character string may be generated for the character string to which the reading method included in the specified character string is to be given. Or you may display the reading of the character string with the typeface different from other displays with respect to the character string which should give the reading method contained in the specified character string. You may display the reading of the character string with the color different from other displays with respect to the character string which should give the reading method contained in the specified character string.
[0023]
On the other hand, for a character string to which a reading method included in the specified character string should be given, a notation for displaying the reading of the character string instead of the character string may be generated. According to this configuration, since the reading of the character string is written instead of the character string, the display can be made easy to see.
[0024]
The link destination file acquisition method for acquiring the next link destination file from the file acquired from the server on the network according to the present invention analyzes the acquired file, and the file name and link destination file of the next link destination file Extracting a text sentence associated with a name; identifying a character string that can be linked to a link destination from the extracted text sentence; and a notation for highlighting the identified character string; Generating a character string that is difficult to read in all or part of the character string, or a notation for displaying the reading for a character string that requires attention to the reading, and the specified character Registering a column and a link destination file name in the management table in association with the link destination file name, and the management table Registering in a speech recognition dictionary to perform speech recognition on a registered character string, analyzing speech input by a user using the speech recognition dictionary, performing speech recognition, and Acquiring the corresponding link destination file name from the management table based on a recognition result.
[0025]
Further, according to the present invention, there is provided a link destination file acquisition program for acquiring a next link destination file from a file acquired from a server on a network, the computer analyzing the acquired file, A character string extracting means for extracting a file name of the file and a text sentence associated with the link destination file name; a character string specifying means for specifying a character string capable of associating a link destination from the extracted text sentence; The notation for highlighting the specified character string and the reading for a difficult-to-read character string included in all or part of the character string, or for a character string that requires careful reading A notation generation means for generating a notation for display, and the specified character string and link destination file name as a link destination file name. A management table to be registered in association, dictionary registration means for registering in a speech recognition dictionary to perform speech recognition on character strings registered in the management table, and speech input from a user using the speech recognition dictionary A speech recognition means for performing speech recognition and a link destination file for functioning as a link destination file name acquisition means for acquiring the corresponding link destination file name from the management table based on the recognition result of the voice recognition means An acquisition program is provided.
[0026]
The present invention also provides a computer-readable recording medium on which the linked file acquisition program is recorded.
[0027]
Further, the information processing apparatus according to the present invention provides the following link destination file included in the file acquired from the server on the network with a character string that can associate the next link destination file with a voice instruction, An information processing apparatus for acquiring a link destination file, a means for extracting a character string that needs to display a reading from a character string that can be associated with the next link destination file, and the extracted character string There may be provided means for indicating how to read, or means for replacing the extracted character string with reading of the character string.
[0028]
DETAILED DESCRIPTION OF THE INVENTION
Embodiments of the present invention will be described below with reference to the drawings. In addition, this invention is not limited by these.
[0029]
FIG. 1 is a diagram showing a configuration of an information processing apparatus according to the present invention. As shown in FIG. 1, the information processing apparatus includes a control unit 1, a program memory 2, a data memory 3, an input unit 4, an external storage unit 5, a communication unit 6, a display unit 7, and voice input. These parts are connected to each other via a bus.
[0030]
The control unit 1 operates in accordance with a program stored in a program memory (RAM) 2, controls the operation of the entire apparatus, and executes a program such as a browser. A data memory (ROM) 3 stores various control data used by the control unit 1. The data memory (RAM) 3 is used as a work area when the control unit 1 executes various control processes, and temporarily stores various data. The program memory 2 stores a program executed by the control unit 1. The program is stored in the program memory 2 via the communication unit 6 from the external storage unit 5 or an external network. The control unit 1 analyzes the file input from the external network via the communication unit 6 and extracts the next link destination file and link destination file name. Programs such as system programs, browser programs, voice recognition programs, and language analysis programs are stored in the program memory 2.
[0031]
A word dictionary for language analysis, an information table, a reading dictionary, a cache of received HTML sentences, an acoustic model for speech recognition, and the like are stored in the data memory (RAM) 3 from the external storage unit 5 or the external network via the communication unit 6. Or written directly in a data memory (ROM) 3 such as a hard disk. Work variables such as a management table and a speech recognition dictionary are stored in a data memory (RAM) 3.
[0032]
The input unit 4 includes a keyboard and a mouse. The communication unit 6 is connected to an external network such as the Internet, receives data that has arrived via the network, and outputs the data to the control unit 1. The external storage unit 5 calls program data from a recording medium such as a CD-ROM or DVD-ROM and outputs the program data to the control unit 1. The program data read in this way is installed in the data memory 3 or the like by the processing of the control unit 1.
[0033]
The display unit 7 presents display contents to the user, and includes display means such as a CRT or a liquid crystal display device.
[0034]
The audio input unit 8 is connected to a microphone or an external amplifier, and converts an audio signal input from the user into a digital signal by A / D conversion.
[0035]
FIG. 2 is a configuration block diagram illustrating the information processing apparatus according to the present embodiment. The information processing apparatus according to the present embodiment includes a character string extraction unit 11, a character string identification unit 12, a notation generation unit 13, a management table 14, a dictionary registration unit 15, a link destination file name acquisition unit 16, and It consists of a word dictionary 21, an information table 22, and a speech recognition dictionary 23.
[0036]
In the information processing apparatus of the present invention, the HTML text acquired via the input unit 4 is analyzed by the character string extraction unit 11. Specifically, the file name of the next link destination file and the explanatory text associated with the link destination file name are extracted from the HTML text.
[0037]
The character string specifying unit 12 analyzes the extracted explanatory text and specifies a character string that can associate a link destination. Specifically, the determination is performed by using the word dictionary 21 to determine whether or not the word described in the word dictionary 21 is included in the character string. By referring to the word dictionary 21, grammatical information for determining the reading of the words constituting the character string, the part of speech, and the word break can be obtained.
[0038]
The notation generation unit 13 refers to the information table 22 to determine whether or not there is a character string that needs to be read in the specified character string. For words that are determined to require reading, a notation for displaying the reading is given to the HTML sentence. The display unit 7 displays an HTML sentence to which a reading is given. The information table 22 is a table displaying difficulty information on how to read by selecting all the words included in the word dictionary or only kanji. For a word having a plurality of readings, the notation generation unit 13 gives a notation for displaying an appropriate reading with reference to the reading dictionary. In addition, when a reading is given to a word having a plurality of readings, a reading dictionary can be used instead of the information table. When reading is given to character strings other than kanji or kana included in the specified character string, a reading table may be used instead of the information table. On the other hand, without using such an information table or a reading table, the reading method may be assigned using difficulty level information added to the word dictionary or using reading information included in the word dictionary.
[0039]
In the management table 14, the character string specified by the character string specifying unit 12 and the character string reading data given by the notation generating unit 13 are stored in association with the link destination file.
[0040]
In the dictionary registration unit 15, the character string specified by the character string specifying unit and how to read the character string are registered in the speech recognition dictionary 23.
[0041]
The voice recognition unit 16 analyzes the voice signal input from the voice input unit 8 and collates it with the voice recognition dictionary 23. For voice recognition, a known voice recognition technique can be used. For example, speech recognition is performed using a hidden Markov model (hereinafter referred to as HMM) (see, for example, Seiichi Nakagawa, “Speech Recognition Using Stochastic Models”, IEICE). Specifically, the probability of occurrence of all the HMMs corresponding to the recognition target words registered in the speech recognition dictionary 23 is obtained from the analyzed speech signal, and the words corresponding to the HMM having the highest occurrence probability are recognized. And
[0042]
The link destination file name acquisition unit 17 refers to the management table from the result obtained by the voice recognition unit 16 and acquires the file name of the link destination file corresponding to the specific character string. The file corresponding to this file name is read.
[0043]
(Operation)
Next, the operation of the information processing apparatus of the present invention will be described in detail with reference to FIG. FIG. 3 is a flowchart showing the operation of the information processing apparatus according to the present invention.
[0044]
In step S <b> 101, the designated HTML text acquired from the server by the communication unit 6 through a communication network such as the Internet is stored in the data memory (ROM) 3. In step S102, the text string extraction unit 11 analyzes this text sentence based on the tag information.
[0045]
Here, an HTML sentence will be briefly described. FIG. 4 is a diagram illustrating an example of an HTML sentence. The <html> tag and the </ html> tag are definitions that declare that a sentence is written in HTML. The <html> tag and the </ html> tag are placed at the beginning and end of the entire sentence. Between the <head> tag and the </ head> tag, information related to the text, such as the title and characteristics of the text, and information about the producer, is described. Between the <title> tag and the </ title> tag, the title of the sentence is described in a portion sandwiched between the <head> tag and the </ head> tag. The text actually displayed on the browser is described in a portion sandwiched between the <body> tag and the </ body> tag.
[0046]
A link is set between the <A href=“★”> tag and the </A> tag. In ★, enter the destination file name (URL). For example, in <A href=“http://www.xyz.co.jp/news/dn.html”> society </A> in the figure, “http://www.xyz.co.jp/news” “/Dn.html” is the link destination file name, and “Society” means the explanatory text. Details of these tag information are disclosed in, for example, Ankh's “HTML tag dictionary” (Shosuisha Co., Ltd.). FIG. 5 is an example in which the HTML text of FIG. 4 is displayed using a browser program.
[0047]
In step S103, the explanatory text between the <A> tag to the </A> tag is subjected to morphological analysis with reference to the word dictionary. That is, a word having a headline that matches the notation of the explanatory text is read from the word dictionary 21. In this step, the grammar, reading information and part of speech information of each word are analyzed. For example, “<The attempted smuggling case> 400 million yen of luxury watches cannot be confiscated” is analyzed as shown in FIG. FIG. 6 is an example of a morphological analysis of “<A case of attempted smuggling> 400 million yen of luxury watch cannot be confiscated”.
[0048]
The character string specifying unit 12 specifies a character string that can be associated with a link destination based on the result of morphological analysis. As a method of specifying a character string, for example, there is a method of using an explanatory text as a character string as it is (1) “A high-class wristwatch worth 400 million yen cannot be confiscated”. In addition, (2) there is a method of creating a noun phrase from a morphological analysis result and making it a character string. A noun phrase is obtained by integrating consecutive nouns. For example, from the above example, the noun phrases of “smuggling attempted smuggling”, “400 million yen”, “confiscation of luxury watch” are obtained. (3) Among the noun phrases obtained in the above (2), there is a method in which a noun phrase appearing at the beginning of an explanatory sentence is used as a character string. In the above example, the “smuggling attempted case” is a specified character string. (4) This is a method in which the longest noun phrase among the noun phrases obtained in (2) above is a character string. In the above example, the character string specifying “confiscation of luxury watch” is specified. (5) Among the noun phrases obtained in the above (2), there is a method in which a character string is continuously formed up to a noun phrase within a designated number of characters from before the explanatory sentence. In the above example, when the designated number of characters is 15 characters, the character string in which “400 million yen for attempted smuggling” is specified.
[0049]
The method for specifying the character string is not limited to any method as long as the description can be specified. In particular, when the same character string as the specified character string exists in the speech recognition dictionary, it is necessary to specify a character string that is not registered in the speech recognition dictionary by changing the specifying method.
[0050]
In step S104, the notation generation unit 13 checks whether the character string specified in step S105 includes a word that is difficult to read or a word that requires attention. When a word that is difficult to read or a word that requires attention is included, a notation for displaying the reading of the word is generated. A mode of generating reading notation will be described later.
[0051]
In step S105, the character string specified in step S103 and its reading are registered in the management table 14 in association with the link destination file name. FIG. 7 is a diagram illustrating an example of a specified character string registered in the management table, its reading, and a link destination file name.
[0052]
In step S106, the phoneme model of the recognition target phrase is created from the phoneme model of each character constituting the specified character string registered in the management table 14 and its reading. The created phoneme model of the recognition target phrase is sequentially added to the data of the speech recognition dictionary 23. Note that when the displayed HTML text is changed, all the data related to the HTML text is deleted.
[0053]
In step S107, it is determined whether or not the analysis of the HTML sentence has been completed. If not, the process proceeds to step S103. The processing from step S103 to step S106 is repeatedly executed for all the sentences between the <A> tag and the </A> tag included in the HTML sentence.
[0054]
In step S <b> 107, after analyzing all the link destination information files included in the HTML text, a command for enabling the voice recognition unit 16 is transmitted from the control unit 1. Thereby, in step S108, the system enters a standby state until the user speaks a voice.
[0055]
In step S <b> 109, a voice signal generated by the user's utterance is transmitted from the voice input unit 8 to the voice recognition unit 16. The voice recognition unit 16 extracts feature parameters from the input voice signal. The extracted feature parameter string is subjected to distance calculation with the phoneme model of the recognition target phrase registered in step 106. Then, the recognition target word / phrase with the highest score is output as the recognition result.
[0056]
In step S110, the link destination file name acquisition unit 17 searches the management table 14 based on the output recognition target word and acquires the link destination file name.
[0057]
In step S111, a command for requesting information is transmitted from the communication unit 6 using the link destination file name obtained in step S110.
[0058]
For example, when the user utters “smuggling attempted case”, a recognition result “smuggling attempted case” is obtained from the speech recognition unit. When the management table is searched using the recognition result, the link destination file name “http://www.xyz.co.jp/news/dn/20033021.101.html” is obtained. Thereby, the HTML text of the next link destination can be obtained.
[0059]
(Reading notation generation process)
FIG. 8 is a flowchart illustrating a process of generating a reading notation in the notation generation unit.
[0060]
In step 201, the words constituting the character string are acquired from the character string identified in step 103. For example, in the case of “smuggling attempted case”, “smuggling” is first acquired from the three words “smuggling”, “attempt”, and “case”.
[0061]
In step 202, it is determined whether or not the word acquired in step 201 satisfies the reading provision condition. If the reading provision condition is satisfied, the process proceeds to step S203. If not, the process proceeds to step S204. . FIG. 9 is a diagram illustrating an example of an information table used in step 202. Specifically, it is determined whether the difficulty level has a difficulty level equal to or higher than a predetermined value. For example, when the difficulty level is 3, since the difficulty level of “smuggling” is 3, it is selected as a word to which reading should be given. The difficulty level can be set arbitrarily according to the user's language ability. For example, the standard of difficulty may be determined from the contents of each grade of Japanese Kanji ability test. Moreover, it is good also as a structure which includes the difficulty level information of the information table shown in FIG. 9 in a word dictionary.
[0062]
In step S203, a flag indicating that the word needs to be read is set.
[0063]
In step 204, it is determined whether or not the reading provision conditions have been determined for all words. If the determination has not been completed for all words, the process proceeds to step S201, and the determination has been completed for all words. In the case, the process proceeds to step S205.
[0064]
In step S205, the notation for highlighting the character string specified in step S103 and the reading of the word for which the word is required to be read in step S203 are displayed in association with this word. The notation for generating is generated. FIG. 10 is a diagram illustrating an example in which a specified character string is displayed in a color different from that of other character strings, and a word reading is displayed in association with the word in italics. In the example of this figure, the specified character string is displayed in red, the other character strings are displayed in black or blue, and the specified character string is highlighted. In FIG. 10, the character strings “society”, “politics”, “economy”, “international”, “sports”, “Mitsuyu attempted”, “Haneda Airport”, “ “Kanuma city officials” and “Nagasaki Prefectural Federation” are red, and the normal character string “Social News (February 11th) is black, as a character string that can be input by voice. The character string in the description of the link that has not been specified is displayed in blue.
[0065]
As a result, the user can easily determine a character string that can be input by voice. Even for difficult words or words that require attention to how to read, the link destination can be designated without misreading. FIG. 11 is a diagram illustrating an example in which a specified character string based on a conventional example is displayed. According to the present invention, as in the case shown in FIG. 11, all words are not read. As a result, it is possible to obtain a display in which the character string arrangement of the sentence provided by the server side is not greatly broken.
[0066]
In the above embodiment, the word information table is used when the notation generation unit executes the reading notation generation process. However, it is not limited to word difficulty information. FIG. 12 is a diagram illustrating an example of a kanji information table. Instead of the word information table, a kanji information table shown in FIG. 12 may be used to give a reading to a word having a kanji that is harder than a preset difficulty level. Moreover, it can also be set as the structure which includes the difficulty level information of a Chinese character in a word dictionary. With this configuration, the word dictionary itself has kanji reading information, and this information can be used.
[0067]
In addition, when a word has a plurality of readings in the reading notation generation processing by the notation generation unit in the above embodiment, a plurality of readings are displayed using a word reading dictionary as a reading giving condition, It is good also as a structure which can select various reading methods. Moreover, it is good also as a structure which uses the reading information which a word dictionary does not use separately a reading dictionary.
[0068]
In addition, in the above-described embodiment, in the reading notation generation processing by the notation generation unit, there are some proper nouns that are difficult to read, so the part-of-speech information of the word obtained by the character string specifying unit is used as the reading assignment condition. It is also possible to select a proper noun and give a reading.
[0069]
In addition, when there is a character string other than kanji and kana such as English words and symbols in the reading notation generation processing by the notation generation unit in the above embodiment, reading is given using a reading table as a reading granting condition. It is good also as composition to do. Moreover, it is good also as a structure which uses the reading information which a word dictionary does not use separately a reading table.
[0070]
In addition, when a word has a plurality of readings, a configuration that gives correct reading, a configuration that gives reading to proper nouns, and a configuration that gives to character strings other than kanji and kana such as English words and symbols are the word or You may combine with the structure which gives how to read kanji.
[0071]
Further, in the above embodiment, when the notation generation processing is performed in the notation generation unit, the reading of the character string is displayed in an italic typeface that is different from other displays, but the present invention is not limited to this. For example, the reading color of the character string may be displayed in a color different from other display colors.
[0072]
FIG. 13 is a diagram showing a modified display example in the embodiment of the present invention. As shown in the figure, in the above embodiment, the reading generation process of the reading by the notation generation unit may be configured to display the reading of the character string instead of the specified character string.
[0073]
An object of the present invention is to supply a recording medium storing software program codes for realizing the functions of the above-described embodiments to a system or apparatus, and store the computer (or CPU or MPU) of the system or apparatus in the recording medium. It is also achieved by reading and executing the programmed program code.
[0074]
In this case, the program code itself read from the recording medium realizes the functions of the above-described embodiments, and the recording medium on which the program code is recorded constitutes the present invention.
[0075]
As a recording medium for supplying the program code, for example, a tape system such as a magnetic tape or a cassette tape, a magnetic disk such as a floppy disk or a hard disk, a CD (compact disk) -ROM, a CD-R, or MO (magneto-optical) Optical discs such as discs, MDs (mini discs), DVDs (digital versatile discs), ICs (integrated circuit) cards, optical cards, etc., mask ROMs, EPROMs (ultraviolet erasable ROMs), EEPROMs (electrical A medium carrying a fixed program, such as a semiconductor memory system such as a static erasable ROM) or a flash ROM, can be used. These recording media are not limited to programs, and data can also be recorded.
[0076]
Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an OS (operating system) operating on the computer based on the instruction of the program code. It goes without saying that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.
[0077]
Further, after the program code read from the recording medium is written in a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing, and the functions of the above-described embodiments are realized by the processing.
[0078]
The information processing apparatus of the present invention can be connected to a communication network including the Internet by including a modem. In this case, the program code may be a medium that fluidly carries the program by downloading from a communication network or the like. In this case, a download program for downloading from the communication network is stored in the main device in advance or installed from another recording medium.
[0079]
【The invention's effect】
As described above, in the information processing apparatus of the present invention, the character string that can be linked to the link destination from the extracted text sentence is highlighted. The user can easily recognize a character string that can be input by voice. As a result, the user can easily select link destination information by reading out a desired character string.
Further, in the information processing apparatus of the present invention, the reading is displayed on all or part of the character string with respect to the character string that is difficult to read on all or part of the character string or the character string that requires attention to reading. . The user can easily know how to read the character string. In particular, reading is written only for a character string that is difficult to read or a character string that requires attention to reading, so the HTML text of the original text and the display form do not differ greatly.
[Brief description of the drawings]
FIG. 1 is a diagram showing a configuration of an information processing apparatus according to the present invention.
FIG. 2 is a block diagram illustrating the information processing apparatus according to the present embodiment.
FIG. 3 is a flowchart showing the operation of the information processing apparatus according to the present invention.
FIG. 4 is a diagram illustrating an example of an HTML sentence.
FIG. 5 is an example in which the HTML text of FIG. 4 is displayed using a browser program.
FIG. 6 is an example of a morphological analysis of “<The attempted smuggling case> 400 million yen of luxury watches cannot be confiscated”.
FIG. 7 is a diagram illustrating an example of a specified character string registered in the management table, its reading, and a link destination file name;
FIG. 8 is a flowchart illustrating processing for generating a reading notation in a notation generation unit;
FIG. 9 is a diagram illustrating an example of a difficulty level information table used in step 202;
FIG. 10 is a diagram illustrating an example in which a specified character string is displayed in a different color from other character strings, and a word reading is displayed in association with the word in italics.
FIG. 11 is a diagram illustrating an example in which a specified character string based on a conventional example is displayed.
FIG. 12 is a diagram illustrating an example of a Chinese character difficulty level information table;
FIG. 13 is a diagram showing a modified display example in the embodiment of the present invention.
[Explanation of symbols]
1 Control unit
2 Program memory
3 Data memory
4 Input section
5 External storage
6 Communication Department
7 Display section
8 Voice input part
11 Character string extraction unit
12 Character string identification part
13 Notation generator
14 Management table
15 Dictionary Registration Department
16 Voice recognition unit
17 Link destination file name acquisition part
21 word dictionary
22 Information table
23 Speech recognition dictionary

Claims (15)

An information processing apparatus that acquires the next link destination file from a file acquired from a server on the network,
Character string extraction means for analyzing the acquired file and extracting the file name of the next link destination file and the text sentence associated with the link destination file name;
A character string specifying means for specifying a character string capable of associating a link destination from the extracted text sentence;
In order to display the notation for highlighting the specified character string, and the character string that is difficult to read in all or part of the character string, or the character string that requires careful reading, is displayed. A notation generating means for generating the notation of
A management table for registering the identified character string and link destination file name in association with the link destination file name;
Dictionary registration means for registering in the speech recognition dictionary to perform speech recognition on the character strings registered in the management table;
A voice recognition unit that analyzes voice input from a user using the voice recognition dictionary and performs voice recognition;
Link destination file name acquisition means for acquiring the corresponding link destination file name from the management table based on the recognition result of the voice recognition means;
An information processing apparatus. The notation generation means includes:
Using difficulty information about how to read words,
The notation which displays the reading of the word with respect to the word which is contained in the specified character string and is difficult to read from the preset difficulty level is generated. Information processing device. The notation generation means includes:
Using difficulty information about how to read kanji,
The notation which displays the kanji reading of the word which is contained in the specified character string and has kanji difficult to read from the preset difficulty level is generated. The information processing apparatus described in 1. The notation generation means includes:
The information processing apparatus according to claim 2 or 3, wherein a difficulty level relating to a word reading or a difficulty level relating to a kanji reading can be set by a user instruction. The notation generation means includes:
Using difficulty information about how to read words,
A word that is included in the specified character string and that has a plurality of readings is generated by referring to a reading dictionary and generating a notation that displays an appropriate reading of the words in the character string. The information processing apparatus according to claim 1. The notation generation means includes:
The information processing apparatus according to claim 1, wherein a notation for displaying a reading of the proper noun is generated for the proper noun included in the specified character string. The notation generation means includes:
Using reading information about how to read strings other than kanji or kana,
The information processing apparatus according to claim 1, wherein a notation for displaying how to read a character string other than kanji or kana included in the identified character string is generated. The notation generation means includes:
2. A notation for generating, for a character string to which a reading method included in the specified character string is to be assigned, a reading of the character string is displayed in association with the character string. Item 8. The information processing device according to any one of Items 7. The notation generation means includes:
2. A notation for generating a character string included in the specified character string to display a reading of the character string in a typeface different from other displays is generated. The information processing apparatus according to claim 7. The notation generation means includes:
2. A notation for generating a display of a character string to be given a reading method included in the specified character string in a color different from that of other displays is generated. The information processing apparatus according to claim 7. The notation generation means includes:
2. A notation for generating a display of a character string to be given a reading included in the specified character string instead of the character string. Item 8. The information processing device according to any one of Items 7. A link destination file acquisition method for acquiring the next link destination file from a file acquired from a server on the network,
Analyzing the acquired file and extracting a file name of a next link destination file and a text sentence associated with the link destination file name;
Identifying a character string that can be linked to a link destination from the extracted text sentence;
In order to display the notation for highlighting the specified character string and the difficult-to-read character string included in all or part of the character string, or the character string that requires careful reading Generating a representation of
Registering the specified character string and link destination file name in the management table in association with the link destination file name;
Registering in the speech recognition dictionary to perform speech recognition on the character strings registered in the management table;
Analyzing voice input from a user using the voice recognition dictionary, and performing voice recognition;
Obtaining the corresponding linked file name from the management table based on the recognition result of the voice recognition;
A link destination file acquisition method comprising: A link destination file acquisition program that acquires the next link destination file from a file acquired from a server on the network,
Computer
Character string extraction means for analyzing the acquired file and extracting the file name of the next link destination file and the text sentence associated with the link destination file name;
A character string specifying means for specifying a character string capable of associating a link destination from the extracted text sentence;
In order to display the notation for highlighting the specified character string and the difficult-to-read character string included in all or part of the character string, or the character string that requires careful reading A notation generating means for generating
A management table for registering the identified character string and link destination file name in association with the link destination file name;
Dictionary registration means for registering in the speech recognition dictionary to perform speech recognition on the character strings registered in the management table;
A voice recognition unit that analyzes voice input from a user using the voice recognition dictionary and performs voice recognition;
A link destination file acquisition program for functioning as a link destination file name acquisition unit that acquires the corresponding link destination file name from the management table based on a recognition result of the voice recognition unit. A computer-readable recording medium on which the linked file acquisition program according to claim 13 is recorded. An information processing device that acquires the next link destination file by voice instructions for a character string that can be associated with the next link destination file included in the file acquired from the server on the network. There,
Means for extracting a character string that needs to be displayed from a character string that can be associated with the next linked file;
Means for writing the reading to the extracted character string, or means for replacing the extracted character string with reading of the character string;
An information processing apparatus.

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