JP5168709B2 - Mobile terminal device, character input conversion method, program - Google Patents

Description

The present invention relates to a mobile terminal device, and more particularly to a mobile terminal device that performs character input conversion processing according to a user's operation .

  Writing and sending an e-mail with a portable terminal having a small operation unit is considerably more difficult than an ordinary personal computer. For this reason, a character input conversion device for reducing the burden of character input operations has been proposed.

A conventional character input conversion device will be described with reference to FIG.
In FIG. 1, the character input conversion device 100 includes a character input unit 101, a date / time situation storage unit 102, a situation-considered character prediction conversion unit 103, and a character selection determination unit 104.
The character input unit 101 is an input circuit for inputting characters. The date / time status storage unit 102 stores the date / time status such as the date and the day of the week when inputting characters. The situation-considered character prediction conversion unit 103 performs character conversion or prediction conversion of characters in accordance with the stored date / time state, and creates a candidate list of the converted characters. The character selection confirming unit 104 confirms the converted characters in the candidate list.

  With this configuration, the state at the time of character input that changes every moment can be stored in the date / time state storage unit 102, and character conversion or predictive conversion of characters can be performed according to the stored state at the time of character input. In addition to improving the character conversion accuracy, it is possible to reduce the number of character input operations and reduce the burden of character input operations.

  However, the above-described character input conversion device 100 cannot perform character input conversion considering the content of the mail received when creating the reply mail. When creating a reply mail, since the contents of the reply mail and the contents of the received mail are related, it is possible to perform more appropriate character input conversion by considering the contents of the received mail. Therefore, in the above-described character input conversion device 100, the number of operations of the character input person increases as a result, and the character input operation becomes a burden. In addition, an increase in the number of operations induces a character input error, and the character input operation becomes a burden from this point.

As a related technique, Japanese Patent Laid-Open No. 2006-004016 discloses a character input conversion device.
The character input conversion device includes a character input unit for inputting characters, a state storage unit for storing a state at the time of character input, and character conversion or predictive conversion of the input character according to the state at the time of character input. And a character-considering character prediction conversion unit that creates a conversion candidate list for the conversion character, and a character selection determination unit that determines the conversion character in the conversion candidate list.

JP 2006-004016 A

An object of the present invention is to provide a character input conversion device that improves character conversion accuracy by changing the priority order of predictive conversion candidates for character input according to the contents of received mail when creating a reply mail in a mobile terminal device or the like. Is to provide.
Another object of the present invention is to provide a character input conversion device capable of reducing the burden of character input operation.

  In the following, means for solving the problem will be described using the numbers used in [Best Mode for Carrying Out the Invention] in parentheses. These numbers are added to clarify the correspondence between the description of [Claims] and [Best Mode for Carrying Out the Invention]. However, these numbers should not be used to interpret the technical scope of the invention described in [Claims].

  The character input conversion device according to the present invention includes a group information storage unit (11) in which information obtained by grouping words included in a received mail for each related word is stored, and based on the content of the sentence of the received mail, A received mail analysis unit (12) that ranks the priorities of each group divided into groups, a prediction conversion priority information storage unit (23) that stores information on the priorities, and an input according to the priorities The received mail content-considering character prediction conversion unit (22) that performs character conversion or predictive conversion of the received characters and creates a list of the character conversion candidates, and character selection determination that determines the conversion characters from the conversion candidate list Part (24).

  The received mail analysis unit (12) compares the words included in the received mail with the group information in the group information storage unit (11), and checks which group of the received mail text belongs to Based on the result, the priorities of the groups are ranked.

  The received mail content-considering character prediction conversion unit (22) creates a list of conversion candidate characters from the input characters, and according to the priority of each group stored in the prediction conversion priority storage unit The characters of the conversion candidates are rearranged.

  The group information storage unit (11), the received mail analysis unit (12), the prediction conversion priority information storage unit (23), the received mail content considering character prediction conversion unit (22), and the character selection determination unit (24) ) Is mounted on small wireless communication terminals such as mobile phones.

  In the character input conversion method of the present invention, (a) receiving a mail, (b) creating a reply mail for the received mail, and (c) creating the reply mail, Analyzing the content of the text of the received mail; (d) grouping (classifying) words included in the content of the text of the received mail; and (e) in the received mail. Counting how many words belong to each group, (f) prioritizing in order from the group with the largest number of counts, storing the priorities, and (g) characters being input Then, in consideration of the priority, a prediction conversion candidate list in which the prediction conversion candidates including the words belonging to the group with the large number of counts are arranged higher than the conversion candidates is created. A step of (h) outputting the prediction conversion candidate list to a display screen; and (i) a confirmation instruction for any of the characters included in the prediction conversion candidate list displayed on the screen. And a step of performing the process of confirming the corresponding character and initializing the predictive conversion candidate list, and (j) a step of further accepting input of characters and narrowing down the conversion candidates when there is no confirmation instruction And (k) a step of ending the process when the reply mail text is completed.

  The step (c) includes the step of (c1) analyzing the contents of mail text transmitted / received in the past and performing character conversion or character prediction conversion in consideration of the contents of the past mail text.

  The character input conversion method of the present invention includes the step of (1) preferentially setting a word included in the received mail as a character prediction conversion candidate when registering a telephone directory or schedule.

  According to the character input conversion method of the present invention, (m) when inputting characters using a web page input form when using the Internet, the content of the web page is analyzed, and character conversion or character prediction is performed in consideration of the content of the web page. Performing the conversion step.

  Since the predicted conversion candidate related to the content of the received mail is displayed at the top of the candidate list, the character conversion accuracy can be improved, and the character input when creating the reply mail can be easily performed. As a result, the burden of character input operation can be reduced. In addition, since a character to be converted appears above the conversion candidates, the time required for character input can be shortened.

  A feature of the present invention is that, in a mobile terminal device or the like, character conversion accuracy is improved by changing the priority order of predictive conversion candidates for character input according to the content of received mail when creating a reply mail, and character input operation It is in the place that can reduce the burden of.

A first embodiment of the present invention will be described below with reference to the accompanying drawings.
As shown in FIG. 2, the mobile terminal device of the present invention includes a received mail analysis device 10 and a character input conversion device 20.

  The received mail analysis device 10 includes a group information storage unit 11 and a received mail analysis unit 12. The group information storage unit 11 stores information obtained by grouping each word into groups that are semantically related. The received mail analysis unit 12 ranks the groups based on the contents of the received mail. Note that the content of the received mail is not limited to the content of the text, but may include the contents described in the entry columns of the title (subject), the sender, and the receiver.

  The character input conversion device 20 includes a character input unit 21, a predicted conversion priority information storage unit 22, a received mail content considering character prediction conversion unit 23, and a character selection determination unit 24. The character input unit 21 is an input circuit for inputting characters. The prediction conversion priority information storage unit 22 stores priority information for character prediction conversion. The received mail content considering character prediction conversion unit 23 performs character conversion or prediction conversion of characters according to the stored priority order, and creates a list of conversion candidates. The character selection confirming unit 24 confirms the converted characters of the candidate list.

FIG. 2 shows the received mail analysis device 10, the character input conversion device 20, and the character string processing device 30 as an embodiment of the present invention.
Examples of the present invention are described in detail below.

  The received mail analysis device 10 includes a group information storage unit 11 and a received mail analysis unit 12. The group information storage unit 11 is a memory that stores information obtained by grouping each word into groups that are semantically related. The received mail analysis unit 12 compares the words contained in the received mail with the group information in the group information storage unit 11 to check which group belongs to the sentence of the received mail, and based on the result, each group This is a circuit that performs ranking.

  The character input conversion device 20 includes a character input unit 21, a prediction conversion priority order storage unit 22, a received mail content considering character prediction conversion unit 23, and a character selection determination unit 24. The character input unit 21 is an input circuit that receives character input from the character string processing device 30. The predictive conversion priority order storage unit 22 is a memory that stores the prioritization information of each group obtained by the received mail analysis unit 12 of the received mail analysis device 10. The received mail content consideration character prediction conversion unit 23 creates a prediction conversion candidate from the characters input from the character input unit 21, and predicts according to the priority order of each group stored in the prediction conversion priority storage unit 22. This is a circuit for rearranging conversion candidates. The character selection confirmation unit 24 is an input circuit that accepts user selection and confirmation processing from the conversion candidate list created by the received mail content-considered character prediction conversion unit 23.

  The character string processing device 30 is a device that performs character input from a user, output of a prediction conversion candidate, and output of a character string. Note that character input in the character string processing device 30 is not limited to input from operation keys such as a mobile phone, but when characters are selected from a character table displayed on a touch panel display screen, a pen tablet or the like The case where it inputs with an input device is considered. However, actually, it is not limited to the above example.

Next, the character input operation of FIG. 2 will be described using the flowchart shown in FIG.
(1) Step S1
The mobile phone receives mail.
(2) Step S2
When a mail is received, a reply mail is created for this. The reply mail may be created by the user of the mobile phone, or the reply mail may be automatically created by application software or the like. If you do not create a reply mail, wait for the next mail.
(3) Step S3
When the reply mail creation operation is performed, the received mail analysis apparatus 10 in FIG. 2 analyzes the contents of the received mail. In the received mail analysis device 10, each word is preliminarily semantically related, such as “time” for “1:00”, “location” for “Tokyo”, “person name” for “Sato”. The group information storage unit 11 shown in FIG. 2 has a grouped (classified) database of group information 41 as shown in FIG. At this time, the word and the group do not necessarily correspond one-on-one. For example, when the word “meeting” is considered as shown in FIG. 5, “meeting time”, “meeting place”, etc. can be associated, so the word “meeting” is called “time” group 42 and “place” group 43. It belongs to two groups. The received mail analysis unit 12 in FIG. 2 counts how many words belong to each group in the received mail.
(4) Step S4
Then, prioritization is performed in order from the group with the largest number of counts, and the result is stored in the priority storage unit 22 of FIG.
(5) Step S5
In this state, characters are input in the character string processing device 30 (reply mail creation screen) of FIG.
(6) Step S6
When a character is input in the character string processing device 30 of FIG. 2, the received mail content considering character prediction conversion unit 23 of FIG. 2 creates a prediction conversion candidate list. At this time, in consideration of the priority stored in the priority storage unit 22 of FIG. 2, a predictive conversion including a word belonging to a group that is semantically most relevant to the content of the received mail, that is, a group with a large number of counts. A prediction conversion candidate list is created by rearranging the candidates so that they are higher in the ranks.
(7) Step S7
This predictive conversion candidate list is sent to the character string processing device 30 in FIG. 2 and output to the screen. For example, in the case of the received mail example 51 in FIG. 6, those corresponding to the “time” group are “Tomorrow”, “Waiting”, and “what”, and those corresponding to the “Location” group are “Waiting”. The received mail is determined to be related to “time”. In this state, when a reply mail is created and an attempt is made to input “1 tomorrow at 1 o'clock”, when “1” is entered, normally, as in reply mail creation example 52, “ The conversion candidate “1” is preferentially displayed. In the present invention, however, the conversion candidate related to “time” “1 o'clock” is preferentially displayed as in the reply mail creation example 53.
(8) Step S8
The user searches for the character he / she wants to input from the conversion candidates displayed on the screen, and issues a confirmation instruction from the character selection / confirmation unit 24 in FIG. When a confirmation instruction is given from the character selection confirmation unit 24, the character string processing device 30 performs the corresponding character confirmation processing, and the received mail content considering character prediction conversion unit 23 performs the prediction conversion candidate list initialization processing. If there is no character to be input among the conversion candidates, further characters are input and the conversion candidates are narrowed down by repeating the above operation.
(9) Step S9
When the character input is continued, the operation after the character input is repeated, and when the sentence is completed, the process is terminated.

  In this embodiment, the character input at the time of creating a reply mail for the e-mail received immediately before has been described. However, the present invention is not necessarily limited to this. It is also possible to analyze the contents of mail sent and received in the past and perform character conversion or character prediction conversion in consideration of the contents. Also, it is not necessary to limit to character input when creating an e-mail. Any other text may be used as long as it can analyze the contents of other sentences and perform character conversion or character prediction conversion in consideration of the contents. For example, a name and an e-mail address included in a received mail at the time of telephone book or schedule registration can be preferentially given as a character prediction conversion candidate. Further, when characters are input using the web page input form when using the Internet, character conversion or character prediction conversion can be performed in consideration of the content by analyzing the content of the web page. As a result, the character conversion accuracy can be improved and the burden of character input operation can be reduced with respect to character input other than when reply mail is created.

  Further, in this embodiment, in order to analyze the received mail, the description has been made using a table in which each word is grouped into semantically related ones, but the present invention is not necessarily limited to this. In the character input conversion at the time of reply mail creation, it is only necessary to provide the character prediction conversion unit with information that can take into account the contents of the received mail.

  Furthermore, in the present embodiment, the character prediction conversion has been described as an example, but in the normal character conversion function, the character conversion accuracy is improved by using the character conversion candidates in consideration of the contents of the received mail. The burden of character input operation can be reduced.

  The mobile terminal device of the present invention is a small communication terminal device such as a mobile phone, a PHS (Personal Handyphone System), a PDA (Personal Data Assistant, Personal Digital Assistant), a car navigation system. A device including a character input conversion device.

  That is, the character input conversion device of the present invention can perform character conversion or character prediction conversion in consideration of the contents of other sentences at the time of character input. Examples of character input include e-mail creation, web page input forms, phone book functions, schedule functions, and the like. Also, examples of sentences whose contents are considered include received e-mail (may be mail received in the past or sent mail), web page, and the like. Moreover, the contents of the sentence are analyzed by grouping the words in the sentence into semantically similar ones.

FIG. 1 is a block diagram showing a configuration of a conventional character input conversion apparatus. FIG. 2 is a block diagram showing the configuration of the character input conversion device of the present invention. FIG. 3 is a flowchart showing the character input operation. FIG. 4 is a diagram illustrating an example of a group information database. FIG. 5 is a diagram illustrating an example of grouping by word. FIG. 6 is a diagram illustrating an example of a screen display of the prediction conversion candidate list.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 ... Received mail analysis device 11 ... Group information storage part 12 ... Received mail analysis part 20 ... Character input conversion device 21 ... Character input part 22 ... Predictive conversion priority order storage part 23 ... Received mail content consideration character prediction conversion part 24 ... Character Selection confirmation unit 30 ... Character string processing device 41 ... Group information 42 ... "Time" group 43 ... "Location" group 51 ... Received mail example 52 ... Normal reply mail creation example 53 ... Reply mail creation example in the present invention 100 ... Character input conversion device 101 ... Character input unit 102 ... Date / time status storage unit 103 ... Situation-considered character prediction conversion unit 104 ... Character selection determination unit

Claims (7)

When a character input operation is performed according to received data at the time of data reception, the content of the received data is analyzed, words included in the sentence of the received data are grouped, and the entire sentence of the received data In consideration of the contents of the received data analysis device for changing the priority of each group,
At the time of character input, based on the priority of each group, among the groups including words corresponding to the input characters, the words of the input characters in order from the word included in the group with the highest priority. A character input conversion device that is displayed as a prediction conversion candidate, determines a conversion candidate from the prediction conversion candidates, performs character conversion or character prediction conversion, and improves character conversion accuracy and reduces the burden of character input operation Equipped ,
The received data analysis device
A group information storage unit storing information grouped for each semantically related word;
When analyzing the content of the received data, count the number of words belonging to each group in the sentence of the received data, prioritize in order from the group with the largest number of counts, as a result of prioritization A received data analysis unit that outputs priority information of character prediction conversion to the character input conversion device side;
The character input conversion device includes:
A predictive conversion priority information storage unit for storing priority information of the character predictive conversion;
A character input part for inputting characters,
Create a prediction conversion candidate list in which the input characters are rearranged so that a prediction conversion candidate including a word belonging to a group with a large number of counts is placed at the top of the candidate based on the priority information of the character prediction conversion Receiving data content consideration character prediction conversion unit,
A portable terminal device comprising: a character selection confirming unit for selecting and confirming a conversion candidate for the input character from prediction prediction candidates in the prediction conversion candidate list. The mobile terminal device according to claim 1 ,
The received data analyzing device is not limited to the data received immediately before, but also changes the priority of each group in consideration of the contents of the entire sentence of data received in the past, and registers the phone book according to the received data. Or, when a character input operation related to schedule registration is performed, the input character is given priority to the name and address information included in the received data regardless of the order of prediction conversion candidates in the prediction conversion candidate list. A portable terminal device that performs character conversion or character prediction conversion by confirming a conversion candidate selected from the displayed prediction conversion candidates as a conversion candidate for the input character . The mobile terminal device according to claim 1 or 2 ,
The received data analysis device analyzes the contents of a web page when using the Internet , counts how many words belong to each group in the text of the web page, and prioritizes in order from the group with the largest number of counts. And outputting priority information of character prediction conversion to the character input conversion device as a result of prioritization,
The character input conversion device, when inputting characters in the input form of the web page, for the input characters, based on the priority information of the character prediction conversion, prediction including a word belonging to a group having a large number of counts Create a prediction conversion candidate list that is rearranged so that the conversion candidates are at the top of the candidates, display the prediction conversion candidates of the input characters in the order of the prediction conversion candidates in the prediction conversion candidate list, and display the display A mobile terminal device that determines a conversion candidate selected from the predicted conversion candidates as a conversion candidate for the input character and performs character conversion or character prediction conversion based on the determined conversion candidate .   A character input conversion method implemented by a mobile terminal device,
  Keep information grouped by semantically related words,
  Analyzing the content of the received data when a character input operation is performed according to the received data during data reception;
  Counting the number of words belonging to each group in the sentence of the received data;
  Prioritize in order from the group with the most counts,
  Storing priority information for character prediction conversion as a result of prioritization;
  Entering letters,
  Create a prediction conversion candidate list in which the input characters are rearranged so that a prediction conversion candidate including a word belonging to a group with a large number of counts is placed at the top of the candidate based on the priority information of the character prediction conversion To do
  Displaying predictive conversion candidates for the input characters in the order of predictive conversion candidates in the predictive conversion candidate list;
  Confirming a conversion candidate selected from the displayed predictive conversion candidates as a conversion candidate for the input character;
  Performing character conversion or character prediction conversion based on the determined conversion candidates;
including
  Character input conversion method. The character input conversion method according to claim 4 ,
In addition to the data received immediately before, considering the contents of the entire sentence of the data received in the past, changing the priority of each group,
Name and address information contained in the received data regardless of the order of prediction conversion candidates in the prediction conversion candidate list when a character input operation relating to phone book registration or schedule registration is performed according to the reception data and displaying as predictive conversion candidate preferentially the input character,
A character input conversion method further comprising: determining a conversion candidate selected from the displayed prediction conversion candidates as a conversion candidate for the input character and performing character conversion or character prediction conversion. The character input conversion method according to claim 4 or 5 ,
Analyzing the content of the web page when using the Internet, counting how many words belonging to each group in the text of the web page ,
Prioritize in order from the group with the most counts,
Storing priority information for character prediction conversion as a result of prioritization;
At the time of character input in the input form of the web page, a predicted conversion candidate including a word belonging to a group having a large number of counts is ranked higher on the basis of the input character based on the priority information of the character prediction conversion. Creating a predictive conversion candidate list that is rearranged so that
Displaying predictive conversion candidates for the input characters in the order of predictive conversion candidates in the predictive conversion candidate list;
Confirming a conversion candidate selected from the displayed predictive conversion candidates as a conversion candidate for the input character;
A character input conversion method, further comprising: performing character conversion or character prediction conversion based on the determined conversion candidate . The program for making a portable terminal device perform the character input conversion method as described in any one of Claims 4 thru | or 6 .

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