CA2479302A1 - Entering text into an electronic communications device - Google Patents

Entering text into an electronic communications device Download PDF

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Publication number
CA2479302A1
CA2479302A1 CA002479302A CA2479302A CA2479302A1 CA 2479302 A1 CA2479302 A1 CA 2479302A1 CA 002479302 A CA002479302 A CA 002479302A CA 2479302 A CA2479302 A CA 2479302A CA 2479302 A1 CA2479302 A1 CA 2479302A1
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CA
Canada
Prior art keywords
character
graphical object
sequences
display
electronic communications
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002479302A
Other languages
French (fr)
Inventor
Erland Unruh
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sony Mobile Communications AB
Original Assignee
Sony Ericsson Mobile Communications Ab
Erland Unruh
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from EP02388023A external-priority patent/EP1347361A1/en
Application filed by Sony Ericsson Mobile Communications Ab, Erland Unruh filed Critical Sony Ericsson Mobile Communications Ab
Publication of CA2479302A1 publication Critical patent/CA2479302A1/en
Abandoned legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02Input arrangements using manually operated switches, e.g. using keyboards or dials
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
    • G06F3/0233Character input methods
    • G06F3/0236Character input methods using selection techniques to select from displayed items
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/02Input arrangements using manually operated switches, e.g. using keyboards or dials
    • G06F3/023Arrangements for converting discrete items of information into a coded form, e.g. arrangements for interpreting keyboard generated codes as alphanumeric codes, operand codes or instruction codes
    • G06F3/0233Character input methods
    • G06F3/0237Character input methods using prediction or retrieval techniques
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • H04M1/7243User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
    • H04M1/72436User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for text messaging, e.g. SMS or e-mail
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2250/00Details of telephonic subscriber devices
    • H04M2250/70Details of telephonic subscriber devices methods for entering alphabetical characters, e.g. multi-tap or dictionary disambiguation

Abstract

In a method of entering text into an electronic communications device by means of a keypad having a number of keys, each key representing a plurality of characters, entered text is displayed on a display arranged on the device. A
sequence of keys is activated, and possible character sequences corresponding to the activated key sequence are generated. These sequences are compared with a vocabulary stored in a memory and comprising character sequences representing words ocurring in a given language. Those of the possible character sequences that match character sequences in the vocabulary are pre-selected, and a number of the pre-selected sequences are presented in a separate graphical object (11) arranged pre-dominantly on the display. Thus there is provided a way of entering text by means of keys representing a plurality of characters, which is easier to use for new users, and which does not divert the attention of the user.

Description

Entering text into an electronic communications device Technical Field of the Invention The invention relates to a method of entering text into an electronic commu-nications device by means of a keypad having a number of keys, each key representing a plurality of characters, and wherein entered text is displayed on a display arranged on the electronic communications device, the method comprising the steps of activating a sequence of keys; generating possible to character sequences corresponding to said activated key sequence; compar-ing said possible character sequences with a vocabulary stored in a memory, said vocabulary comprising character sequences representing words occur-ring in a given language; pre-selecting those of said possible character se-quences that match character sequences stored in said vocabulary; and pre-ss senting a number of the pre-selected character sequences on said display.
The invention further relates to an electronic communications device featur-ing the option of entering text into the device.
Description of Related Art
2 o Electronic communications devices, such as mobile telephones and Personal Digital Assistants (PDA's), often utilize a numeric keypad for entering nu-meric information, such as telephone numbers or time information, into these devices. However, there is typically also a need to enter text information into such devices. Examples are names, addresses and messages to be sent to 2s other similar devices. Since these devices only rarely have sufficiently large dimensions for the arrangement of a normal alphanumeric keyboard, the numeric keypad must be used also for text information. Consequently, each key corresponds to multiple different characters. As an example, the "2" key typically also corresponds to the letters A, B and C.
One well-known method of entering text information from such a keypad is the multi-tap method in which the user is allowed to iterate through the pos-sible characters by pressing the corresponding key multiple times. To enter e.g. the letter "A", the user presses the "2" key a single time, while the key is pressed three times to enter the letter "C". The key must be pressed the mul-tiple times relatively fast to ensure that the correct character is recognized.
Alternatively, a separate key is used to iterate through the possibilities, once one of the numeric keys has been pressed.
An improved method uses a predictive editor application for entering and editing text information. One such method is described in US 6 307 548.
When text is entered using predictive input, each key is only pressed once, to and the display will show one of the possible character sequences corre-sponding to the entered key sequence, typically the one which is most com-monly used in the language of the user, or by using the exact match ap-proach. There is no time limit, so it is possible to press the keys relatively fast after each other. If, for example, a user (using the English language) enters the key sequence "2" (ABC), "7" (PQRS) and "3" (DEF), 36 different charac-ter sequences are possible. However, only five of these (ARE, APE, CRE, BRE and ARD) are found as words or word stems in the stored vocabulary of the device. "ARE" has the highest frequency of use and it will thus be shown in the display. If this is the word the user intended to write, it can be accepted 2 o by pressing an acceptance key, which could typically be the key used for entering a space character. If it is not the correct word, the user may step through the other proposals by using a select key until the correct word is shown at the insertion point in the text, before it is accepted with the accep-tance key. During character entry, i.e. as long as a word has not yet been accepted, the word is held "open", which is typically shown by underlining of the word (or character sequence) or drawing of a box around it. This illus-trates that the shown word is just one of the possibilities or candidates pro-vided by the vocabulary.
3 o As mentioned, one candidate is presented on the display in the text message entered by the user. The other candidates may be cycled through by use of a select key, e.g. one of the arrow up/down keys. Each time a different candi-date is inserted into the text on the display. To facilitate the navigation, the CA 02479302 2004-09-14 ~P 'f~f~
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individual candidates may be identified by their number being shown in. e.g.
the corner of the display. In the above-mentioned example the word "ARE°
may be identified by "1l5" showing that this is candidate_number one of five candidates. If the display of the device is large enough, it is also known from ~ e.g. US S 30T 548 to facilitafie the navigation by locating a selection list re-gion below the text region, wherein a list of at least some of the candidates is provided. One of the candidates in the selection list is marked in that°it e.g.
appears within a box drawn with solid or dotted lines, and the same candi-date is also shown at the insertion point of the text message. Pressing a se-lect key moves the box to the next candidate in the list which is also then shown at the insertion point. When the correct word is shown in the box in the selection list and at the insertion point, it can be accepted and the system is ready for the next word to be entered.
i . , In US 6 30T 548 the candidates are listed horizontally in the selection list lo-cated below the text region. A sirriilar listing is disclosed in US 5 952 942, while US 5 818 437 shows a system in which different candidates are listed vertically in a selection list menu, 'arranged in a separate window of a large display, i.e, separate from the usual text window. In US 6 011 554 the selec-Lion list is displayed as a vertical list at the insertion point in the text window.
However, even with these facilitating measures the use of the predictive input system. is still confusing to many users. Especially for inexperienced users it is not obvious how to scroll through the various candidates. It might not even be obvious that it is possible to choose between different candidates at all.
Similarly, many new users do not know how to accept one of the candidates and continue to the next word. The combination of these problems leads to a situation where many new users desist from using predictive text input and return to the well known multi-tap method instead.
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3a Further, it is a problem for experienced users that since the first available candidate is actually the intended word in about 75 to 80 percent of the cases, it becomes a habit just to accept the first candidate without actually checking whether it was corrector not. Due to the small font, which is usually 'S used on the relatively smaA displays, it is not always easy to read quickly what has been entered, so it is just assumed that the predictive input system.
.... . . provided the correct word. Consequently, errors often remain. in the text.
Another problem is that, the fact that the. selected candidate is shown as well in the selection list as at the insertion point iwthe previously entered text ac tually . .
i ~ E xt ~~ v ~ ~~ ~ ~~Y u~' ~ ~r v a :: n ," .~ t Empf .ze i t . 03/03/2004 1 r :25 ' ~~~~w ~ :, ~r ' ":001 P .004
4 tually diverts the focus of the user, because he will automatically try to focus on both places simultaneously with the result that he is not really focusing on any of them.
Therefore, it is an object of the invention to provide a way of entering text by means of keys representing a plurality of characters, which is easier to use for new users, and which does not divert the attention of the user as de-scribed above, thus also leading to a lower error rate in the entered text.
to Summary According to the invention the object is achieved in that the number of pre-selected character sequences are presented on the display in a separate graphical object arranged predominantly on the display.
By presenting the character sequences in a separate graphical object, e.g. in the form of a separate window on the display, arranged predominantly on the display the focus of the user is concentrated on this object and thus on the character sequences from which the user can select one. Thus the diversion mentioned above is avoided. In a separate graphical object it is also possible 2 o to present the character sequences with a larger font size, which makes it easier to check the words even when characters are entered very fast. Thus the number of errors during text entry can be reduced. For new and inexpe rienced users the separate graphical object will make it more intuitive to use predictive text input, because the word candidates are shown directly and clearly on the display.
Further, the separate graphical object will also reduce the need for computa-tional resources, which is very important in small communications devices. In the known solutions it normally takes a considerable amount of CPU power 3 o to keep the text layout up to date on the display, because the processor has to handle the process of searching for candidates in the vocabulary, present-ing them in the selection list and updating the text shown at the insertion point of the text message when the user iterates through the possible candi-dates. With a separate graphical object there is no need to update the text at the insertion poinfi so often. Actually, the text does not need to be updated at all before the graphical object is closed when candidate is accepted. This results in a lower and more stable processor load. This is important because s the current predictive text input systems often cause a heavy load on the processor.
When the method further comprises the step of indicating distinctly one of the character sequences presented in said separate graphical object, it is to much easier to see which one of the candidates is presently suggested for acceptance.
In an embodiment of the invention, the method further comprises the steps of rank ordering the pre-selected character sequences according to their fre-quency of use in said language, and indicating distinctly as default the most commonly used character sequence in said separate graphical object. In this way it is ensured that the suggested candidate is the one that the user with the highest probability intended to enter.
2 o When the method further comprises the step of allowing a user to indicate distinctly a different one of said pre-selected character sequences, it is easy for the user to navigate between the candidates and to see which one is suggested at any given time.
2 s When the method further comprises the steps of allowing a user to select the indicated character sequence, and adding the selected character sequence to the text displayed on the display, the display is updated with the selected character sequence when the user has made his choice.
3 o When the method further comprises the step of removing said separate graphical object from the display when a character sequence has been se-lected, the user is allowed to obtain an overview of the entire message be-fore the process is continued with the entry of further words. While the sepa-rate graphical object is very useful during entry of a word, it will often be more helpful with an overview between entry of the individual words.
The method may further comprise the step of removing said separate graphical object from the display when a predefined period of time has elapsed since the last activation of a key. If no keys have been activated for a certain time, e.g. in the middle of a word, the user might have been dis turbed, and it will often be more convenient to see the overview when the entry process is resumed. As soon as a key is activated again, the graphical z o object will reappear.
The method may also comprise the step of arranging said number of pre-selected character sequences vertically in said separate graphical object.
The vertical presentation of the pre-selected character sequences is expedi-ent because it corresponds to the list of the candidates stored in the mem-o ry.
In an expedient embodiment the step of allowing a user to indicate distinctly a different one of said pre-selected character sequences is performed by 2 o allowing the user to navigate between individual pre-selected character se-quences by activating an upwards-key for indicating a character sequence presented just above the character sequence presently indicated, and by activating a downwards-key for indicating a character sequence presented just below the character sequence presently indicated.
The method may further comprise the step of allowing the user, in the case where not all pre-selected character sequences are presented in said sepa-rate graphical object, to exclude one of the presently presented character sequences and instead present a character sequence not presently pre-3o sented by activation of one of the upwards- and downwards-keys. In this way the user can scroll through the list of candidates, even when it comprises a larger number of candidates.

When the method further comprises the step of adjusting the width of said separate graphical object according to the length of the character sequence being presented, a dynamic graphical object is achieved which adapts to the size of the character sequences shown.
Further the method may comprise the step of presenting the character se-quences in said separate graphical object with a font size which is adjusted in accordance with the length of the character sequence being presented.
Thus also the presentation of long words is possible in the graphical object.
In an expedient embodiment the method further comprises the step of com-paring said possible character sequences with a vocabulary comprising character sequences representing words as well as word stems occurring in said given language.
The method may further comprise the step of showing a cursor in combina-tion with the distinctly indicated character sequence. The cursor is a further help to ensure that the attention of the user is focused on the graphical ob-ject with the candidates.
The method may further comprise the step of keeping text that is displayed outside said separate graphical object unchanged as long as said separate graphical object is shown on the display. In this way considerable amounts of processor resources may be saved.
Processor resources may also be saved when the method further comprises the step of updating text that is displayed outside said separate graphical object at a low rate compared to the key activation rate as long as said sepa-rate graphical object is shown on the display.
As mentioned, the invention further relates to an electronic communications device featuring the option of entering text into the device, and comprising a keypad having a number of keys, each key representing a plurality of charac-ters; a display arranged on the electronic communications device, on which entered text may be displayed; a memory, wherein a vocabulary comprising character sequences representing words occurring in a given language is stored; means for generating possible character sequences corresponding to a sequence of activated keys; means for comparing said possible character sequences with said stored vocabulary and pre-selecting possible character sequences matching character sequences stored in the vocabulary; and means for presenting a number of the pre-selected character sequences on said display. When the presenting means is arranged to present the number so of pre-selected character sequences on the display in a separate graphical object arranged predominantly on the display, a way of entering text by means of keys representing a plurality of characters is achieved, which is easier to use for new users, and which does not divert the attention of the user as described above, thus also leading to a lower error rate in the en-tered text.
When the presenting means is further arranged to indicate distinctly one of the character sequences presented in said separate graphical object, it is much easier to see which one of the candidates is presently suggested for 2 o acceptance.
In an embodiment of the invention, the device is further arranged to rank or-der the pre-selected character sequences according to their frequency of use in said language, and indicate distinctly as default the most commonly used 2s character sequence in said separate graphical object. In this way it is en-sured that the suggested candidate is the one that the user with the highest probability intended to enter.
When the device is further arranged to allow a user to indicate distinctly a 3 o different one of said pre-selected character sequences, it is easy for the user to move around between the candidates and to see which one is suggested at any given time.

When the device is further arranged to allow a user to select the indicated character sequence, and add the selected character sequence to the text displayed on the display, the display is updated with the selected character sequence when the user has made his choice.
When the device is further arranged to remove said separate graphical ob-ject from the display when a character sequence has been selected, the user is allowed to get an overview of the entire message before the process is continued with the entry of further words. While the separate graphical object to is very useful during entry of a word, it will often be more helpful with an overview between entry of the individual words.
The device may further be arranged to remove said separate graphical ob-ject from the display when a predefined period of time has elapsed since the last activation of a key. If no keys have been activated for a certain time, e.g.
in the middle of a word, the user might have been disturbed, and it will often be more convenient to see the overview when the entry process is resumed.
As soon as a key is activated again, the graphical object will reappear.
2 o The device may further be arranged to present said number of pre-selected character sequences vertically in said separate graphical object. The vertical presentation of the pre-selected character sequences is expedient because it corresponds to the list of the candidates stored in the memory.
In an expedient embodiment the device is further arranged to allow a user to indicate distinctly a different one of said pre-selected character sequences by allowing the user to navigate between individual pre-selected character sequences by activating an upwards-key for indicating a character sequence presented just above the character sequence presently indicated, and by 3 o activating a downwards-key for indicating a character sequence presented just below the character sequence presently indicated.

The device may further be arranged to allow the user, in the case where not all pre-selected character sequences are presented in said separate graphi-cal object, to exclude one of the presently presented character sequences and instead present a character sequence not presently presented by activa-tion of one of the upwards- and downwards-keys. In this way the user can scroll through the list of candidates, even when it comprises a large number of candidates.
When the device is further arranged to adjust the width of said separate Zo graphical object according to the length of the character sequence being presented, a dynamic graphical object is achieved which adapts to the size of the character sequences shown.
Further the device may be arranged to present the character sequences in said separate graphical object with a font size which is adjusted according to the length of the character sequence being presented. Thus also the presen-tation of long words is possible in the graphical object.
In an expedient embodiment the device is further arranged to compare said 2 o possible character sequences with a vocabulary comprising character se-quences representing words as well as word stems occurring in said given language.
The device may further be arranged to show a cursor in combination with the 2s distinctly indicated character sequence. The cursor is a further help to en-sure that the attention of the user is focused on the graphical object with the candidates.
The device may further be arranged to keep text that is displayed outside 3 o said separate graphical object unchanged as long as said separate graphical object is shown on the display. In this way considerable amounts of proces-sor resources may be saved.

Processor resources may also be saved when the device is further arranged to update text that is displayed outside said separate graphical object at a low rate compared to the key activation rate as long as said separate graphi-cal object is shown on the display.
In an expedient embodiment the generating means, comparing means and presenting means are implemented in a processor.
Brief Description of the Drawings to The invention will now be described more fully below with reference to the drawings, in which figure 1 shows a mobile telephone in which the invention may be used;
figure 2 shows a block diagram of the telephone in figure 1;
figures 3 to 5 show examples of the display of a known predictive editor;
figures 6 to 8 show the use of a separate graphical object on the display dur-2o ing activation of a key sequence;
figure 9 shows the display when the key sequence is interrupted;
figure 10 shows the display when the key sequence is continued;
figure 11 shows the display when a word is accepted;
figures 12 and 13 show the display when different candidates are elected;
3 o figure 14 shows the display when another word is accepted;
figure 15 shows the display when the graphical object is enlarged to accom-modate a longer word;

figure 16 shows the display when a smaller font size is used to accommo-date a longer word in the graphical object; and figure 17 shows the display with the graphical object located in the left side.
Detailed Description of Embodiments Figure 1 shows an example of a device. in which the invention can be used.
The shown device is a mobile telephone 1, e.g. a GSM telephone and/or a to UMTS telephone. Other types of telephones are CDMA, PDC, CDMA 2000 and TDMA. However, it should be noted that the invention could be used in other types of devices also. As examples, PDA's (Personal Digital Assistant) and computers may be mentioned.
The telephone 1 is equipped with a display 2 and a keypad 3. The keys of the keypad 3 are used for entering information into the telephone. This in-formation may be of many various types, such as telephone numbers, ad-dress information, instructions to the telephone and text messages to be sent to another telephone. The display 2 is used for presentation of information to 2 o the user of the mobile telephone. Also the presented information may be of various types, such as telephone numbers, address information, indications from the telephone, text messages received from another telephone, or text messages entered by the keypad 3 for later transmission to another tele-phone. In figure 1 a part of a text message has been entered from the key-pad 3, and the entered text is now shown on the display 2. This is a situation in which the invention can be utilized.
As shown, the keypad 3 is a numeric keypad having only a limited number of keys. Thus each key corresponds to multiple different characters when the 3 o keypad is used for entering text information. As an example the "3" key also corresponds to the letters D, E and F. To facilitate text entry many such de-vices are equipped with a predictive editor, which is an intelligent software protocol capable of suggesting possible character sequences corresponding to a given key sequence entered by the user. One such well-known predic-tive editor is named T9T"" (registered trademark owned by Tegic Communica-tions, Inc.), which is commercially available and well described in the art.
An-other one is eZyTextT"" (registered trademark owned by Zy Corporation).
s Thus the function' of the predictive editor will only be described very briefly with reference to figure 2.
As illustrated in figure 2, the telephone 2 also includes a processor 4 and a memory 5. In the memory 5 a vocabulary 6 is stored which comprises a list so of allowable character sequences for a given language, i.e. character se-quences which form words or word stems in that language. Of course a de-vice may have several different vocabularies corresponding to different lan-guages stored in the memory. When a user enters a key sequence from the keypad 3 the possible corresponding character sequences are generated in 15 the unit 7 in the processor 4. If, for instance, the user (using the English lan-guage) enters the key sequence "4" (GHI), "6" (MNO), "6" (MNO) and "3"
(DEF), 81 different character sequences are possible. ,These are now com-pared (in the comparing unit 8) to the vocabulary 6, and it is found that only 12 of the 81 possible character sequences are stored in the vocabulary 6 as 2 o English words or word stems. Thus these 12 character sequences are now selected as candidates for presentation to the user, and the driver 9 presents them on the display 2. Often the vocabulary 6 also contains information of the frequency of use for each character sequence in the relevant language, and in that case the selected sequences may further be ranked according to 2s their use, so that the most commonly used character sequence is presented at the top of the list. In this case "good" is the most commonly used word among the 12 selected character sequences, and it is thus presented to the user as the first suggestion.
3 o The presentation to the user is illustrated in figure 3, in which the user has entered the words "This is" followed by the above sequence. Since "good" is the first of the suggestions, it is shown on the display. It is shown that "good"
is underlined to indicate that this word is still open, i.e. it may still be changed to another one of the selected possibilities. Further, it is indicated in the up-per right corner of the display that this suggestion is the first of the 12 possi-bilities by showing "1/12" in a box. If this is the word the user intended to en-ter, it can be accepted by e.g. entering a space character. The acceptance is s shown by moving the cursor to the next position, and "good" will no longer be underlined.
If, however, it is not the intended word, the user can move to the next one on the list by means of e.g. an "arrow down" key. As shown in figure 4, the sys-Zo tem then suggests "home" and indicates "2/12" in the upper corner. In figure this step has been repeated, and the system suggests "gone". When the intended word is shown, it can be accepted as described above, and the user can continue with the next word.
It may also be possible to go back to an earlier entered word and "re-open" it to switch to another candidate or to continue typing to achieve a longer word.
In some systems there are also options to extend the vocabulary search to get "word completion". In this case a candidate longer than the number of key entries can be shown, and often this word is inserted in the vocabulary 2 o by the user.
An improved solution according to the invention will now be described, in which a new graphical input object, e.g. in the form of a separate window, is shown on the display. This object co-exists with the text editor and the origi-nal predictive input method described above. It can be pictured as a data list with built-in search function. The data in the data list is the complete vocabu-lary, i.e. thousands of words and word stems. However, the search function does not only sort words, it also prunes away all not matching words, thus keeping the number at a very reasonable count, typically below 20.
The graphical object is only visible on the display when a word is open, i.e.
underlined in the above-mentioned example. It is completely invisible when no word is open. Thus it is shown or open under direct text entry, while it is closed e.g. when the user enters space characters, navigates between words, etc. The graphical object looks like an ordinary list object showing a number of candidates at the same time, and it will be described in more de-tail in the following.
5 Figure 6 shows an example of how the object can be shown on the display 3 of the mobile telephone 1 from figure 1. Again the user has entered the words "This is", and he continues with the key sequence described above.
When the key "4 ghi" is activated the system opens a new word. Instead of 1o showing the most commonly used character, which in this case is "i", under-lined at the insertion point, a new object or window 11 is now shown so that it covers a part of the existing display and attracts the attention of the user.
It may also have a colour different from the background to improve this effect.
The object shows the three possible characters related to the "4" key rank 15 ordered according to their frequency of use. Since "i" is the most commonly used of the three characters, it is presented at the top of the list. Further this character is indicated distinctly by highlighting, e.g. by a different colour, to indicate that this is the character suggested by the predictive editor. A
cursor is also shown just after the highlighted character to further accentuate this 2 o character and indicate the insertion point of the next character.
It is noted that in figure 6 the suggestion for the newly entered character is not shown at the original insertion point in the entered text. Since the atten-tion of the user is now focused on the object 11, this indication is no longer needed, and often this insertion point will be hidden behind the new object, so there is no need to update it before the word currently being entered is accepted. Therefore, processor resources may be saved by this indication not being updating. However, it is also possible just to update it at a lower rate, which will still save processor resources.
In the situation described here the user will continue by entering the next character of the word, and thus there is no need to make any decision about which of the three characters is actually the intended one.
6 PCT/EP03/02263 In figure 7 the user has now also activated the key "6 mno" so that nine character sequences are possible, and those found in the vocabulary are selected for the list. The three most commonly used ones are now shown in s the separate window 11. These are "in", "go" and "im" with "in" at the top of the list. An arrow at the bottom of the window indicates that the list actually contains more than the three shown candidates. Again the text at the original insertion point is here shown as not being updated. Since the list object is now the primary input object, it is possible to freeze the text editor and not so update it as long as the list object is visible. This may be advantageous from an animation point of view as well as in relation to the computational re-sources.
In figure 8 the user has activated the key "6 mno" once more, and again the s5 object shows the three candidates at the top of the list. It is noted that the width of the object 12 has now been enlarged to accommodate the long character sequences.
If the user stops entering characters in the middle of a word, e.g. because he 2o is disturbed, it can be expedient to remove the graphical object after a cer-tain amount of time, even if the word is kept open. When the user resumes the process of entering characters it will often be more useful to see the overview of the text that was entered before the disturbance. This is illus-trated in figure 9. The graphical object is here removed, and the most com-2~ monly used character sequence, or the one that was highlighted in the list, is now shown at the original insertion point. The word stem "inn" is underlined to indicate that it is still open. In the upper right corner it is shown that "inn" is the first of 12 candidates, so this situation corresponds to figure 3, i.e. as it would have been without the graphical object described here. As soon as the 3 o user starts typing again the list reappears. It can be noted that there are also situations, e.g. when navigating backwards in text re-opening words auto-matically on every second navigation key press, where it could be advanta-geous to delay the opening of the graphical object. Thus the text is shown in the original way, the open word underlined, until the user decides to really go into "word edit mode", i.e. adding or deleting characters or scrolling candi-dates, where the graphical object is again made visible.
Figure 10 now shows that the user continues the entry process by activating the key "3 def'. The object is now shown on the display again, and it is seen that "good" is now the most commonly used of the candidates suggested by the predictive editor, followed by "home" and "gone". The arrow indicates that also in this case there are further candidates. Here is shown a situation 1o where the text at the original insertion point is also updated, just at a low rate. This is indicated by the "g" which is visible at the left edge of the graphical object. Since the text is updated at a low rate the character se-quence indicated at the insertion point might still be "inn" for a certain time after the activation of the key. If "good" is the intended word, the user ac-cepts it by e.g. entering a space character. The graphical object is then re-moved as shown in figure 11. The word "good" is now closed, so it is no longer underlined, and the system is ready for the next word.
If, however, "good" was not the word the user intended to enter, the user can 2o now scroll in the list by activating e.g. the "arrow down" key. In figure 12 the "arrow down" key has been activated once, and "home", which is the next word in the list, is now highlighted to indicate that this word can now be se-lected. In figure 12 the highlighting is moved to the middle of the list so that one word on either side of the highlighted one is visible, but of course the highlighting could also stay at the top of the list, while the words and word stems of the list are moved one step up. That the original text is only updated at a low rate is illustrated in that a "g" is still visible at the left edge of the graphical object instead of an "h" which would otherwise be expected. In fig-ure 13 the "arrow down" key has been activated again, and "gone is now 3o highlighted. The arrows now indicate that further candidates can be found in both directions. Supposing "gone" is the intended word it can now be ac-cepted as mentioned before, and the result is shown in figure 14. The sys-tem is now ready for the next word to continue the message.

As mentioned above, the width of the graphical object 12 in figure 8 was enlarged compared to the object '11 in figure 7 to accommodate the longer character sequences. In case of even longer character sequences the width s of the object can be further enlarged as illustrated with the object 13 in figure 15, where the word "information" has been entered. Figure 15 also illustrates a situation where there is only one candidate corresponding to the entered key sequence. Thus there is only one word to show in the list. As shown in figure 16 the font size of the characters shown in the object may also be to changed according to the length of the shown character sequences. Typi-cally the list object will start with the largest font and the smallest width, when the user starts entering characters for a new word. As characters are added, the width of the object is enlarged to accommodate the character sequence.
To avoid too many layout changes the possible list widths can be chosen in 1s steps like 25%, 50% and 100% of the full width. When 100 % is not enough to accommodate the word the font size can be reduced instead in one or more steps. If characters are deleted the object width can either be reduced, or the size can be kept unchanged. Keeping the size makes it look less "jumpy". If the word for some reason is so long that it cannot fit into the ob-2o jest even with the smallest font and the full width, the word may be divided to appear on two or more lines, or the object may disappear completely so that the system returns to the normal predictive editor format. However, this is a very uncommon situation.
25 As shown in figure 16, the height of the object may also be adjusted accord ing to the number of words in the list. Further the examples mentioned above show the new graphical object located in the middle of the display. However, as shown in figure 17, which correspond to figure 13 just with the object shown to the left, the object may also be located at other positions on the 3o display.
As described above, the predictive editor can provide words or word stems matching the entered key sequence, i.e. words or word stems having the same number of characters as the entered key sequence and each charac-ter being one of those associated with each keystroke. However, the predic-tor may also provide longer words beginning with word stems corresponding to the entered key sequence. In this way word completion can be provided, so that a suggestion of a full word may be presented after only a few key-strokes. Of course this will mean a larger number of candidates in the list, but in some cases it will be a more convenient solution. A combination having a further graphical object is also possible. The candidates consisting of the same number of letters as the number of entered keystrokes can be shown 1o in the first list as described above, while a list of suggested longer words may be shown in the further graphical object. The user then has the possibility of selecting one of the longer words suggested or to continue entering charac-ters.
As mentioned earlier, a cursor is in the examples above shown just after the highlighted character sequence to further accentuate this character and to indicate the insertion point of the next character. If the predictive editor also provides word completion, i.e. it suggests longer words based on the entered character sequence, the cursor may end up in the middle of the word. The 2 o tail after the cursor is the "completed" part of the word. Having the cursor in this graphical list object makes it the primary graphical object during typing.
The original cursor present in the text entry object itself, i.e. the editor, might therefore be turned off, or it can be shown non-flashing or some other kind of hibernation mode to not confuse the user.
In the description above the list of candidates has always only contained whole candidates. In the case of languages which combine smaller words to longer ones (like Swedish) it might be an enhancement to include a larger part of the complete word rather than just the sub-part being entered. As an 3 o example, when entering the word "bildskarm" the whole word is not likely found in the vocabulary. More likely, it must be entered as two predictive words, i.e. "bild" + "skarm". In this case "bild" would be added as a head to all candidates when entering "skarm" using some graphics to indicate that it is a part of the current word, but not a part of the current candidate search.
Also in this case a further object on the display could be useful, so that "bild"
is shown in the first object after the corresponding four keystrokes while the other object suggests "bildskarm" and/or other words having "bild" as the first 5 part.
In the examples mentioned above, the word "character" is used to describe a letter or numeric digit resulting from one keystroke on the keypad. However, "character" may also refer to a whole word or e.g. characters as used in to some ideographic languages, which may be represented by a sequence of letters. An example is Chinese characters, which may be represented by pinyin syllables.
Even though the input system described above has many advantages, such 15 as being faster and more accurate than the original predictive editor, it can of course be considered as a helping tool for the user, and therefore it may also be possible to turn the function off, if in some circumstances a user prefers the original version of the predictive editor.
2 o Although a preferred embodiment of the present invention has been de-scribed and shown, the invention is not restricted to it, but may also be em-bodied in other ways within the scope of the subject-matter defined in the following claims.

Claims (33)

Claims:
1. A method of entering text into an electronic communications device (1) by means of a keypad (3) having a number of keys, each key representing a plurality of characters, and wherein entered text is displayed on a display (2) arranged on the electronic communications device, the method comprising the steps of:
.cndot. activating a sequence of keys;
.cndot. generating possible character sequences corresponding to said acti-vated key sequence;
.cndot. comparing said possible character sequences with a vocabulary (6) stored in a memory (5), said vocabulary comprising character se-quences representing words occurring in a given language;
.cndot. pre-selecting those of said possible character sequences that match character sequences stored in said vocabulary (6); and .cndot. presenting a number of the pre-selected character sequences on said display (2), characterized in that the number of pre-selected charac-ter sequences are presented on the display (2) in a separate graphical object (11; 12; 13) arranged predominantly on the display.
2. A method according to claim 1, characterized in that the method further comprises the step of indicating distinctly one of the char-acter sequences presented in said separate graphical object (11; 12; 13).
3. A method according to claim 2, characterized in that the method further comprises the steps of:
.cndot. rank ordering the pre-selected character sequences according to their frequency of use in said language, and .cndot. indicating distinctly as default the most commonly used character se-quence in said separate graphical object (11; 12; 13).
4. A method according to claim 2 or 3, characterized in that the method further comprises the step of allowing a user to indicate dis-tinctly a different one of said pre-selected character sequences.
5. A method according to any one of claims 2 to 4, character-ized in that the method further comprises the steps of:
.cndot. allowing a user to select the indicated character sequence, and .cndot. adding the selected character sequence to the text displayed on the display (2).
6. A method according to claim 5, characterized in that the method further comprises the step of removing said separate graphical object (11; 12; 13) from the display (2) when a character sequence has been selected.
7. A method according to any one of claims 1 to 4, character-ized in that the method further comprises the step of removing said separate graphical object (11; 12; 13) from the display (2) when a predefined period of time has elapsed since the last activation of a key.
8. A method according to claim 4, characterized in that the method further comprises the step of arranging said number of pre-selected character sequences vertically in said separate graphical object (11;
12; 13).
9. A method according to claim 8, characterized in that the step of allowing a user to indicate distinctly a different one of said pre-selected character sequences is performed by allowing the user to navigate between individual pre-selected character sequences by activating an up-wards-key for indicating a character sequence presented just above the character sequence presently indicated, and by activating a downwards-key for indicating a character sequence presented just below the character se-quence presently indicated.
10. A method according to claim 9, characterized in that the method further comprises the step of allowing the user, in the case where not all pre-selected character sequences are presented in said sepa-rate graphical object (11; 12; 13), to exclude one of the presently presented character sequences and instead present a character sequence not pres-ently presented by activation of one of the upwards- and downwards-keys.
11. A method according to any one of claims 1 to 10, charac-terized in that the method further comprises the step of adjusting the width of said separate graphical object (11; 12; 13) according to the length of the character sequence being presented.
12. A method according to any one of claims 1 to 11, charac-terized in that the method further comprises the step of present-ing the character sequences in said separate graphical object (11; 12; 13) with a font size which is adjusted according to the length of the character sequence being presented.
13. A method according to any one of claims 1 to 12, charac-terized in that the method further comprises the step of compar-ing said possible character sequences with a vocabulary (6) comprising char-acter sequences representing words as well as word stems occurring in said given language.
14. A method according to claim 2, characterized in that the method further comprises the step of showing a cursor in combination with the distinctly indicated character sequence.
15. A method according to any one of claims 1 to 14, charac-terized in that the method further comprises the step of keeping text that is displayed outside said separate graphical object (11; 12; 13) un-changed as long as said separate graphical object is shown on the display (2).
16. A method according to any one of claims 1 to 14, charac-terized in that the method further comprises the step of updating text that is displayed outside said separate graphical object (11; 12; 13) at a low rate compared to the key activation rate as long as said separate graphi-cal object is shown on the display (2).
17. An electronic communications device (1) having the possibility of entering text into the device, and comprising:
.cndot. a keypad (3) having a number of keys, each key representing a plural-ity of characters;
.cndot. a display (2) arranged on the electronic communications device, on which entered text may be displayed;
.cndot. a memory (5), wherein a vocabulary (6) comprising character se-quences representing words occurring in a given language is stored;
.cndot. means (7) for generating possible character sequences corresponding to a sequence of activated keys;
.cndot. means (8) for comparing said possible character sequences with said stored vocabulary (6) and pre-selecting possible character sequences matching character sequences stored in the vocabulary; and .cndot. means (9) for presenting a number of the pre-selected character se-quences on said display, characterized in that said presenting means (9) is ar-ranged to present the number of pre-selected character sequences on the display (2) in a separate graphical object (11; 12; 13) arranged predomi-nantly on the display (2).
13. An electronic communications device according to claim 17, characterized in that said presenting means (9) is further arranged to indicate distinctly one of the character sequences presented in said separate graphical object (11; 12; 13).
19. An electronic communications device according to claim 18, characterized in that the device is further arranged to:
.cndot. rank order the pre-selected character sequences according to their frequency of use in said language, and .cndot. indicate distinctly as default the most commonly used character se-quence in said separate graphical object (11; 12; 13).
20. An electronic communications device according to claim 18 or 19, characterized in that the device is further arranged to allow a user to indicate distinctly a different one of said pre-selected charac-ter sequences.
21. An electronic communications device according to any one of claims 18 to 20, characterized in that the device is further ar-ranged to:
.cndot. allow a user to select the indicated character sequence, and .cndot. add the selected character sequence to the text displayed on the dis-play (2).
22. An electronic communications device according to claim 21, characterized in that the device is further arranged to remove said separate graphical object (11; 12; 13) from the display when a character sequence has been selected.
23. An electronic communications device according to any one of claims 17 to 20, characterized in that the device is further ar-ranged to remove said separate graphical object (11; 12; 13) from the dis-play when a predefined period of time has elapsed since the last activation of a key.
24. An electronic communications device according to claim 20, characterized in that the device is further arranged to present said number of pre-selected character sequences vertically in said separate graphical object (11; 12; 13).
25. An electronic communications device according to claim 24, characterized in that the device is further arranged to allow a user to indicate distinctly a different one of said pre-selected charac-ter sequences by allowing the user to navigate between individual pre-selected character sequences by activating an upwards-key for indicating a character sequence presented just above the character sequence presently indicated, and by activating a downwards-key for indicating a character se-quence presented just below the character sequence presently indicated.
26. An electronic communications device according to claim 25, characterized in that the device is further arranged to allow the user, in the case where not all pre-selected character sequences are presented in said separate graphical object (11; 12; 13), to exclude one of the presently presented character sequences and instead present a char-acter sequence not presently presented by activation of one of the upwards-and downwards-keys.
27. An electronic communications device according to any one of claims 17 to 26, characterized in that the device is further ar-ranged to adjust the width of said separate graphical object (11; 12; 13) ac-cording to the length of the character sequence being presented.
28. An electronic communications device according to any one of claims 17 to 27, characterized in that the device is further ar-ranged to present the character sequences in said separate graphical object (11; 12; 13) with a font size which is adjusted according to the length of the character sequence being presented.
29. An electronic communications device according to any one of claims 17 to 28, characterized in that the device is further ar-ranged to compare said possible character sequences with a vocabulary (6) comprising character sequences representing words as well as word stems occurring in said given language.
30. An electronic communications device according to claim 18, characterized in that the device is further arranged to show a cursor in combination with the distinctly indicated character se-quence.
31. An electronic communications device according to any one of claims 17 to 30, characterized in that the device is further ar-ranged to keep text that is displayed outside said separate graphical object (11; 12; 13) unchanged as long as said separate graphical object is shown on the display (2).
32. An electronic communications device according to any one of claims 17 to 30, characterized in that the device is further ar-ranged to update text that is displayed outside said separate graphical object (11; 12; 13) at a low rate compared to the key activation rate as long as said separate graphical object is shown on the display (2).
33. An electronic communications device according to any one of claims 17 to 30, characterized in that said generating means (7), comparing means (8) and presenting means (9) are implemented in a proc-essor (4).
CA002479302A 2002-03-22 2003-03-05 Entering text into an electronic communications device Abandoned CA2479302A1 (en)

Applications Claiming Priority (5)

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EP02388023.0 2002-03-22
EP02388023A EP1347361A1 (en) 2002-03-22 2002-03-22 Entering text into an electronic communications device
US36982102P 2002-04-03 2002-04-03
US60/369,821 2002-04-03
PCT/EP2003/002263 WO2003081366A2 (en) 2002-03-22 2003-03-05 Entering text into an electronic communications device

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AU (1) AU2003218693A1 (en)
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CA (1) CA2479302A1 (en)
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Families Citing this family (159)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8645137B2 (en) 2000-03-16 2014-02-04 Apple Inc. Fast, language-independent method for user authentication by voice
US7159191B2 (en) * 2003-03-03 2007-01-02 Flextronics Sales & Marketing A-P Ltd. Input of data
US7157848B2 (en) 2003-06-06 2007-01-02 Electrovac Fabrikation Elektrotechnischer Spezialartikel Gmbh Field emission backlight for liquid crystal television
KR100618324B1 (en) * 2005-08-23 2006-09-01 삼성전자주식회사 Method for displaying input character in portable terminal
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
TWI416934B (en) * 2005-11-21 2013-11-21 Zi Corp Canada Inc Information delivery system and method for mobile appliances
CN101495955B (en) * 2005-12-12 2013-06-19 特捷通讯公司 Mobile device retrieval and navigation
US7538692B2 (en) * 2006-01-13 2009-05-26 Research In Motion Limited Handheld electronic device and method for disambiguation of compound text input and for prioritizing compound language solutions according to quantity of text components
US7698128B2 (en) * 2006-01-13 2010-04-13 Research In Motion Limited Handheld electronic device and method for disambiguation of compound text input and that employs N-gram data to limit generation of low-probability compound language solutions
US7525452B2 (en) * 2006-01-13 2009-04-28 Research In Motion Limited Handheld electronic device and method for disambiguation of text input providing suppression of low probability artificial variants
US7777717B2 (en) * 2006-04-05 2010-08-17 Research In Motion Limited Handheld electronic device and method for performing spell checking during text entry and for integrating the output from such spell checking into the output from disambiguation
US7797629B2 (en) * 2006-04-05 2010-09-14 Research In Motion Limited Handheld electronic device and method for performing optimized spell checking during text entry by providing a sequentially ordered series of spell-check algorithms
US7996769B2 (en) * 2006-04-05 2011-08-09 Research In Motion Limited Handheld electronic device and method for performing spell checking during text entry and for providing a spell-check learning feature
US7477165B2 (en) 2006-04-06 2009-01-13 Research In Motion Limited Handheld electronic device and method for learning contextual data during disambiguation of text input
US8065135B2 (en) 2006-04-06 2011-11-22 Research In Motion Limited Handheld electronic device and method for employing contextual data for disambiguation of text input
US7956844B2 (en) 2006-04-07 2011-06-07 Research In Motion Limited Handheld electronic device providing a learning function to facilitate correction of erroneous text entry in environment of text requiring multiple sequential actuations of the same key, and associated method
US7683885B2 (en) * 2006-04-07 2010-03-23 Research In Motion Ltd. Handheld electronic device providing proposed corrected input in response to erroneous text entry in environment of text requiring multiple sequential actuations of the same key, and associated method
US20070256029A1 (en) * 2006-05-01 2007-11-01 Rpo Pty Llimited Systems And Methods For Interfacing A User With A Touch-Screen
KR100765887B1 (en) 2006-05-19 2007-10-10 삼성전자주식회사 Method of entering letters in mobile terminal through extraction of proposed letter set
US7565624B2 (en) 2006-06-30 2009-07-21 Research In Motion Limited Method of learning character segments during text input, and associated handheld electronic device
US8395586B2 (en) * 2006-06-30 2013-03-12 Research In Motion Limited Method of learning a context of a segment of text, and associated handheld electronic device
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US7664632B2 (en) 2006-11-10 2010-02-16 Research In Motion Limited Method of using visual separators to indicate additional character combination choices on a handheld electronic device and associated apparatus
US8074172B2 (en) 2007-01-05 2011-12-06 Apple Inc. Method, system, and graphical user interface for providing word recommendations
US8775931B2 (en) * 2007-03-30 2014-07-08 Blackberry Limited Spell check function that applies a preference to a spell check algorithm based upon extensive user selection of spell check results generated by the algorithm, and associated handheld electronic device
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
JP2008293403A (en) 2007-05-28 2008-12-04 Sony Ericsson Mobilecommunications Japan Inc Character input device, portable terminal and character input program
EP2001188A1 (en) * 2007-06-08 2008-12-10 F.Hoffmann-La Roche Ag Method for authenticating a medical device and a remote device
WO2009005957A1 (en) * 2007-06-29 2009-01-08 Roche Diagnostics Gmbh Apparatus and method for remotely controlling an ambulatory medical device
AU2008270835A1 (en) * 2007-06-29 2009-01-08 F. Hoffmann-La Roche Ag Device and methods for optimizing communications between a medical device and a remote electronic device
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US8232973B2 (en) 2008-01-09 2012-07-31 Apple Inc. Method, device, and graphical user interface providing word recommendations for text input
EP2081104A1 (en) 2008-01-14 2009-07-22 Research In Motion Limited Method and handheld electronic device employing a touch screen for ambiguous word review or correction
US9454516B2 (en) * 2008-01-14 2016-09-27 Blackberry Limited Method and handheld electronic device employing a touch screen for ambiguous word review or correction
WO2009096761A2 (en) * 2008-02-01 2009-08-06 Inputting method for predicting character sequence and electronic device for practicing the method
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
US9959870B2 (en) 2008-12-11 2018-05-01 Apple Inc. Speech recognition involving a mobile device
US10191654B2 (en) 2009-03-30 2019-01-29 Touchtype Limited System and method for inputting text into electronic devices
US9189472B2 (en) 2009-03-30 2015-11-17 Touchtype Limited System and method for inputting text into small screen devices
GB0905457D0 (en) 2009-03-30 2009-05-13 Touchtype Ltd System and method for inputting text into electronic devices
US9424246B2 (en) 2009-03-30 2016-08-23 Touchtype Ltd. System and method for inputting text into electronic devices
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US20120311585A1 (en) 2011-06-03 2012-12-06 Apple Inc. Organizing task items that represent tasks to perform
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US9431006B2 (en) 2009-07-02 2016-08-30 Apple Inc. Methods and apparatuses for automatic speech recognition
US8375329B2 (en) * 2009-09-01 2013-02-12 Maxon Computer Gmbh Method of providing a graphical user interface using a concentric menu
JP5278259B2 (en) * 2009-09-07 2013-09-04 ソニー株式会社 Input device, input method, and program
US8775952B2 (en) * 2009-12-10 2014-07-08 Sap Ag Intelligent roadmap navigation in a graphical user interface
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US8793572B2 (en) 2011-06-30 2014-07-29 Konica Minolta Laboratory U.S.A., Inc. Positioning graphical objects within previously formatted text
US8994660B2 (en) 2011-08-29 2015-03-31 Apple Inc. Text correction processing
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
US8996356B1 (en) * 2012-04-10 2015-03-31 Google Inc. Techniques for predictive input method editors
US9280610B2 (en) 2012-05-14 2016-03-08 Apple Inc. Crowd sourcing information to fulfill user requests
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9495129B2 (en) 2012-06-29 2016-11-15 Apple Inc. Device, method, and user interface for voice-activated navigation and browsing of a document
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9547647B2 (en) 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
CN105027197B (en) 2013-03-15 2018-12-14 苹果公司 Training at least partly voice command system
WO2014144579A1 (en) 2013-03-15 2014-09-18 Apple Inc. System and method for updating an adaptive speech recognition model
WO2014197334A2 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
WO2014197336A1 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
WO2014197335A1 (en) 2013-06-08 2014-12-11 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
CN110442699A (en) 2013-06-09 2019-11-12 苹果公司 Operate method, computer-readable medium, electronic equipment and the system of digital assistants
KR101809808B1 (en) 2013-06-13 2017-12-15 애플 인크. System and method for emergency calls initiated by voice command
DE112014003653B4 (en) 2013-08-06 2024-04-18 Apple Inc. Automatically activate intelligent responses based on activities from remote devices
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
EP3480811A1 (en) 2014-05-30 2019-05-08 Apple Inc. Multi-command single utterance input method
US10255267B2 (en) 2014-05-30 2019-04-09 Apple Inc. Device, method, and graphical user interface for a predictive keyboard
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US9578173B2 (en) 2015-06-05 2017-02-21 Apple Inc. Virtual assistant aided communication with 3rd party service in a communication session
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
DK179309B1 (en) 2016-06-09 2018-04-23 Apple Inc Intelligent automated assistant in a home environment
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10586535B2 (en) 2016-06-10 2020-03-10 Apple Inc. Intelligent digital assistant in a multi-tasking environment
DK179415B1 (en) 2016-06-11 2018-06-14 Apple Inc Intelligent device arbitration and control
DK201670540A1 (en) 2016-06-11 2018-01-08 Apple Inc Application integration with a digital assistant
DK179049B1 (en) 2016-06-11 2017-09-18 Apple Inc Data driven natural language event detection and classification
DK179343B1 (en) 2016-06-11 2018-05-14 Apple Inc Intelligent task discovery
GB201610984D0 (en) 2016-06-23 2016-08-10 Microsoft Technology Licensing Llc Suppression of input images
US10043516B2 (en) 2016-09-23 2018-08-07 Apple Inc. Intelligent automated assistant
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
DK201770439A1 (en) 2017-05-11 2018-12-13 Apple Inc. Offline personal assistant
DK179745B1 (en) 2017-05-12 2019-05-01 Apple Inc. SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT
DK179496B1 (en) 2017-05-12 2019-01-15 Apple Inc. USER-SPECIFIC Acoustic Models
DK201770432A1 (en) 2017-05-15 2018-12-21 Apple Inc. Hierarchical belief states for digital assistants
DK201770431A1 (en) 2017-05-15 2018-12-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
DK179549B1 (en) 2017-05-16 2019-02-12 Apple Inc. Far-field extension for digital assistant services
KR102054517B1 (en) * 2017-11-15 2019-12-11 주식회사 비트바이트 Method for providing interactive keyboard and system thereof
US11194467B2 (en) 2019-06-01 2021-12-07 Apple Inc. Keyboard management user interfaces
US11321904B2 (en) 2019-08-30 2022-05-03 Maxon Computer Gmbh Methods and systems for context passing between nodes in three-dimensional modeling
US11714928B2 (en) 2020-02-27 2023-08-01 Maxon Computer Gmbh Systems and methods for a self-adjusting node workspace
US11373369B2 (en) 2020-09-02 2022-06-28 Maxon Computer Gmbh Systems and methods for extraction of mesh geometry from straight skeleton for beveled shapes

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5564004A (en) * 1994-04-13 1996-10-08 International Business Machines Corporation Method and system for facilitating the selection of icons
BR9609807A (en) * 1995-07-26 1999-12-21 Martin T King Ambiguity cancellation system with reduced keyboard
US5818437A (en) * 1995-07-26 1998-10-06 Tegic Communications, Inc. Reduced keyboard disambiguating computer
US5952942A (en) * 1996-11-21 1999-09-14 Motorola, Inc. Method and device for input of text messages from a keypad
US6583797B1 (en) * 1997-01-21 2003-06-24 International Business Machines Corporation Menu management mechanism that displays menu items based on multiple heuristic factors
PT1018069E (en) * 1997-09-25 2002-12-31 Tegic Communications Inc REDUCED KEYBOARD AMBIGUITY RESOLUTION SYSTEM
GB2335822B (en) * 1998-03-25 2003-09-10 Nokia Mobile Phones Ltd Context sensitive pop-up window for a portable phone
CA2392446C (en) * 1999-05-27 2009-07-14 America Online Incorporated Keyboard system with automatic correction
US7152213B2 (en) * 2001-10-04 2006-12-19 Infogation Corporation System and method for dynamic key assignment in enhanced user interface

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