Abstract: Text processors are configured to shorten or compact text based on one or more abbreviation libraries or rule libraries. Messaging methods include such text abbreviation processing to reduce message length based on display properties or to enhance user perception. Message length can be reduced based on abbreviations in a standard abbreviation list, a user specific abbreviation list, or a combination of standard and custom lists. In some examples, text length is shortened based on stored rules. Mobile stations that provide messaging services include text processors that reduce message length and can be configured to process text messages prior to transmission or after reception. Text processors are provided in association with word processors and presentation applications, and are configured to produce shortened text strings. In some examples, full-length text remains is stored so that both shortened text and full text are available.

Abstract: The disclosure describes an overall system/method for text-input using a multimodal interface with a combination of speech recognition and text prediction. Specifically, an “always listening” mode for entering words is combined with a push-to-speak mode for entering symbols and phrases. In addition, these two modes are further combined with keypad based text prediction. Finally, the overall user-interface of the proposed system is designed such that it enhances existing standard text-input methods; thereby minimizing the behavior change for mobile users.

Abstract: A system offers potential completions for fragments of text. The system may obtain a text fragment and identify documents that include the text fragment. The system may locate sentences within the documents that include at least a portion of the text fragment, identify sentence endings associated with the located sentences, and present the sentence endings as potential completions for the text fragment.

Abstract: Systems, methods, and programs for displaying facility information receive an input letter string representing a search condition, refer to stored facility data, and search for facilities including the input letter string. The systems, methods, and programs acquire facility information of facilities returned by the search, and compress the facility information to be displayed on a search result display screen in a display unit, the compression being based on the input letter string.

Abstract: A mobile communications device including a receiver for receiving metadata; a memory for storing the received metadata; a user interface for receiving user input defining a first string of characters; a controller for searching the metadata for the first string of characters by traversing the received metadata and extracting at least one second string of characters, wherein the at least one second string of characters is embedded in the metadata and wherein a first part of the at least one second string of characters matches the first string of characters; wherein the user interface is configured to display the at least one second string of characters for selection; and wherein the controller is arranged to instruct the memory to, in a case one of the at least one second string is selected, store the at least one second string in a first predictive text dictionary.

Abstract: Electronic messaging systems, a machine-accessible medium, and methods for text-based electronic communication. In one embodiment, a plurality of databases are provided. The databases each define shorthand terms with one or more longhand terms. A shorthand term is targeted within a text message, and the databases are searched for corresponding longhand terms. The longhand terms are selected for display according to factors such as user preferences, the identities of participants to the text communication, and the context of the text message. Abbreviations, shorthand, and other jargon sent by one user is thereby interpreted. For example, one of the longhand terms may be substituted in-line with the text message. Alternatively, all matches for the shorthand term found in the databases may be listed in descending order according to relevancy.

Abstract: An improved method of transliterating non-Latin input within an e-mail address field to the Latin equivalent. A routine in a handheld device is structured to detect a triggering event that indicates an e-mail address is being input into an e-mail address field. Following the triggering event, both prior and subsequent input is transliterated to Latin characters as these characters are required by Internet protocols. The transliteration routine may also be utilized to search an e-mail address book wherein names are recorded using both Latin and non-Latin characters.

Abstract: An improved mobile electronic device and associated method enable the identification of previously-entered textual objects in one or more custom wordlists to identify possible transliterations of textual inputs. Such textual objects can be stored as data in a Pinyin custom wordlist if it is in the nature of Standard Mandarin characters or it can be stored in a BoPoMoFo custom wordlist if it is in the nature of Traditional Chinese characters, or it can be stored in both if it is in the nature of both Standard Mandarin characters and Traditional Chinese characters.

Abstract: Methods and arrangements of text entry are discussed. Embodiments include transformations, code, state machines or other logic to index segments of text from multiple sources and receive segments of text being entered into text-entry applications in a floating application. The embodiments may also involve matching the segments of text to indexed segments of text and entering completions of the received segments of text into the text-entry applications. The completions may be based upon the matching, and the completion of a segment may be entered into the text-entry application from which it was received.

Abstract: A dynamic database reordering system provides a linguistics database that contains words that are ordered according to a linguistics model that dictates the order in which words are presented to a user. While a user enters keystrokes on a keypad of a communications device is pressing keys, the invention predicts the words, letters, numbers, or word stubs that the user is trying to enter. The invention reorders the linguistics model order based on the user's usage of the system by tracking the user's word selections. Once a word has been selected as a result of a next key selection (the nexted word), a frequency value is applied to the selected word and the word ordered first by the linguistics model in the linguistics database for that key sequence. The frequency value of the nexted word will become greater than the frequency value of the first displayed word upon repeated nexting to the same word.

Abstract: A handheld electronic device includes a reduced QWERTY keyboard and is enabled with disambiguation software that is operable to disambiguate compound word text input. The device provides output in the form of a default output and a number of variants. The output is based largely upon the frequency, i.e., the likelihood that a user intended a particular output, but various features of the device provide additional variants that are not based solely on frequency and rather are provided by various logic structures resident on the device.

Abstract: A method is provided for inputting characters to an electronic device having a virtual keyboard displayed on a screen. The method includes the step of displaying a plurality of character entry regions (1). Each region is adapted to display either, at a first level, a plurality of character options, or, at a second level, a single character option from the plurality of character options from a previously selected region. The number of regions and the number of characters is such that a desired character option can always be selected with no more than two keystrokes.

Abstract: An improved method of learning character segments during text input enables facilitated text input on an improved handheld electronic device. In response to a series of inputs, segments and other objects are analyzed to generate a proposed character interpretation of the series of inputs. Responsive to detecting a replacement of a character of the character interpretation with another character, a character learning string comprising the another character and a number of additional characters of the character interpretation are stored as a candidate. In response to another series of inputs, another proposed character interpretation is generated. Responsive to detecting another replacement of a character of the another character interpretation with a different character, another character learning string comprising the different character and a number of characters of the another character interpretation are compared with the stored candidate.

Abstract: Methods and apparatus are described by which one or more input words may be predicted based on partial input from a user using a predictive model that employs contextual metadata which characterizes the user in a multi-dimensional space in which the dimensions are defined by one or more of a spatial aspect, a temporal aspect, a social aspect, or a topical aspect.

Abstract: Incoming e-mails, instant messages, SMS, and MMS, are scanned for new language objects such as words, abbreviations, text shortcuts and, in appropriate languages, ideograms, that are placed in a list for use by a text input process of a handheld electronic device to facilitate the generation of text.

Abstract: The invention provides a process for selecting and ordering one or more sets of linguistic objects. The invention orders a current list of items for selection that comprises a first list of one or more items of a first language and a second list of one or more items of a second language, the current list of items being displayed in an order based on the first language having a priority over the second language. In response to a user selection of one item from the second list, the invention changes a priority for ordering a subsequent list of items to order the subsequent list of items based on the second language having a priority over the first language.

Abstract: An information retrieving apparatus for retrieving predetermined information according to an input of text information, including an input operation section which selects characters from a defined predetermined character list and performs input instructions, a display section which displays the character list, and input characters which have been instructed by the input operation section, a candidate definition processing section 10, and a candidate display processing section 10. The candidate definition processing section 10 retrieves input candidates containing the input instructed characters, and extracts candidate characters, and temporarily allocates the candidate characters to display areas 29 in the display section 15 of characters that do not match the candidate characters, so that they can be selected using the input operation section.

Abstract: A data entry system includes a plurality of keys each of which has two or more symbols associated with each key and a means for receiving a second specific input from a user. A third correction key is provided, where a user enters a desired input by pressing one or more of the plurality of keys corresponding to the symbols required for the desired input and further provides a second specific input also relating to at least a portion of the desired input, such that the system produces a response to the desired input by predicting the desired input based on the symbols pressed by the user and based on the second specific input. If the produced response is different than the desired input, the user may press the correction key to scroll through additional less frequent responses from the system also matching the symbols pressed and the second specific input.

Abstract: The present invention relates to a text input device and a method for inputting text. The method comprises the step of predicting a ranked list of candidate words for text input, based on textual context. In a next step, the method displays the list of candidate words in alphabetical order, i.e. not according to the ranking determined by the prediction algorithm. Instead of indicating the ranking of a candidate word by its relative position within the list of candidate words, the method indicates the ranking of the candidate words by visual prominence. In response to the displayed list of candidate words, the method proceeds in receiving a user input regarding the intended word.

Abstract: A computer program assists in the completion of text input provided by a user. For example, the computer program may maintain a list of n-tuples (where n>1), each of which includes n text strings. For example, each n-tuple may include a stock ticker symbol and the name of a company having that stock ticker symbol. As the user types each character, the program determines whether the text typed by the user so far matches any of the text strings in the n-tuples. The program provides the user with an indication of whether any matches have been found, such as by displaying a list of the n-tuples having text matching the text typed by the user so far. The program then allows the user to select one of the matching n-tuples. The program uses text (such as a stock ticker symbol) from the user's selection to complete the text input.

Abstract: A computer program assists in the completion of text input provided by a user. For example, the computer program may maintain a list of n-tuples (where n>1), each of which includes n text strings. For example, each n-tuple may include a stock ticker symbol and the name of a company having that stock ticker symbol. As the user types each character, the program determines whether the text typed by the user so far matches any of the text strings in the n-tuples. The program provides the user with an indication of whether any matches have been found, such as by displaying a list of the n-tuples having text matching the text typed by the user so far. The program then allows the user to select one of the matching n-tuples. The program uses text (such as a stock ticker symbol) from the user's selection to complete the text input.

Abstract: Overlapping areas of a touch interface of a mobile electronic device are associated with letters such that each area is associated with only one letter. The location of a user's touch on the touch interface is detected. Based on the location, more than one letter may be identified. If more than one letter is identified, predictive text software is used to determine which of the identified letters the user intended to select. The touch interface may be a touchscreen or one or more touchpads.

Abstract: A predictive keyboard is described. In an implementation, a keyboard comprises a plurality of indications of letters arranged, one to another, according to a QWERTY layout. Two rows of keys are arranged such that at least one of the keys includes at least two of the indications from at least two of the rows of the QWERTY layout.

Abstract: A set of ordered predicted completion strings are presented to a user as the user enters text in a text entry box (e.g., a browser or a toolbar). The predicted completion strings can be in the form of URLs or query strings. The ordering may be based on any number of factors (e.g., a query's frequency of submission from a community of users). URLs can be ranked based on an importance value of the URL. Privacy is taken into account in a number of ways, such as using a previously submitted query only when more than a certain number of unique requesters have made the query. The sets of ordered predicted completion strings is obtained by matching a fingerprint value of the user's entry string to a fingerprint to table map which contains the set of ordered predicted completion strings.

Abstract: A method for wordwise predictive Chinese character input includes following steps of: inputting a first Chinese character; generating a first prediction list of Chinese characters; displaying the first Chinese character and the first prediction list of Chinese characters; storing the first Chinese character and the first prediction list of Chinese characters; inputting a second Chinese character or selecting a second Chinese character; generating a second prediction list of Chinese characters; displaying the second Chinese character and the second prediction list of Chinese characters; storing the second Chinese character and the second prediction list of Chinese characters; deleting the second Chinese character and the second prediction list of Chinese characters if a clear key is pressed; and displaying the first Chinese character and the first prediction list of Chinese characters.

Abstract: A handheld electronic device includes a reduced QWERTY keyboard and is enabled with disambiguation software that is operable to disambiguate text input. In response to an ambiguous editing input at a location preceding at least a portion of an output word, the software performs one disambiguation operation with respect to the editing input and another disambiguation operation with respect to the editing input in combination with the at least portion of the output word. The results are output in order of decreasing frequency value, with the results of the one disambiguation operation having the portion of the output word appended thereto.

Abstract: Text processors are configured to shorten or compact text based on one or more abbreviation libraries or rule libraries. Messaging methods include such text abbreviation processing to reduce message length based on display properties or to enhance user perception. Message length can be reduced based on abbreviations in a standard abbreviation list, a user specific abbreviation list, or a combination of standard and custom lists. In some examples, text length is shortened based on stored rules. Mobile stations that provide messaging services include text processors that reduce message length and can be configured to process text messages prior to transmission or after reception. Text processors are provided in association with word processors and presentation applications, and are configured to produce shortened text strings. In some examples, full-length text remains is stored so that both shortened text and full text are available.

Abstract: A handheld electronic device includes a reduced QWERTY keyboard and is enabled with disambiguation software and prediction software. In response to an ambiguous input, the system provides one or more disambiguated interpretations of the ambiguous input. In some circumstances, the system can additionally provide one or more completions, i.e., predictions of future characters. However, in other circumstances the outputting of completions of an ambiguous input can be suppressed in order to avoid distracting the user and to provide more meaningful results to the user.

Abstract: A method of for a mobile telephone data input apparatus comprising a plurality of data input keys having multi-character indicia, said method adapted to facilitate a reduction in the number of user interactions required to create a given data string to less than the number of characters within said data string, the method comprising the following steps: storing a set of data strings each with a priority indicator associated therewith, wherein the indicator is a measure of a plurality of derivatives associated with the data string; recognising an event; looking up the most likely subsequent data string to follow the event from the set of data strings based on one or more of the plurality of derivatives; ordering the data strings for display based on the priority indicator of that data string; if the required subsequent data string is included in the list selecting the required subsequent data string; if the required subsequent data string is not included in the list entering a event and repeating steps b to e;

Abstract: A data processing method and apparatus for maintaining and customizing a list of words, phrases, and abbreviations that are standard in a profession, industry, trade or occupation, for insertion of abbreviations from the list into the text, for converting selected words and phrases in the text to abbreviations, for converting selected abbreviations in the text to words and phrases, and for automatically converting a number of words and phrases to abbreviations, and abbreviations to words and phrases, throughout the text, comprising the steps of: storing in a memory a first data structure encoding a plurality of words and corresponding abbreviations; storing in a memory a second data structure encoding a plurality of abbreviations and corresponding words; selecting a word in the text to be converted to an abbreviation and converting the selected word to a corresponding abbreviation using the first data structure; and selecting an abbreviation in the text to be converted to a word and converting the abbreviatio

Abstract: A processing device, such as, for example, a tablet PC, or other processing device, may receive non-textual language input. The non-textual language input may be recognized to produce one or more textual characters. The processing device may generate a list including one or more prefixes based on the produced one or more textual characters. Multiple text auto-completion predictions may be generated based on multiple prediction data sources and the one or more prefixes. The multiple text auto-completion predictions may be ranked and sorted based on features associated with each of the text auto-completion predictions. The processing device may present a predetermined number of best text auto-completion predictions. A selection of one of the presented predetermined number of best text auto completion predictions may result in a word, currently being entered, being replaced by the selected one of the predetermined number of best text auto completion predictions.

Abstract: The present invention provides a document processing device including: a specifying unit that specifies character strings which have a common property across documents, from among character strings included in plural documents which are represented by plural corresponding document data; and a rewriting unit that rewrites, among the character strings specified by the specifying unit, character strings expressed in formats different from a defined format to character strings expressed in the defined format.

Abstract: A method for providing a combined set of proposed words from a predictive text engine, as well as a module, an apparatus, a system and a computer readable medium. Generally, according to the method, a number of key input actuations is received via e.g. a keypad. Then, a first set of proposed words based upon the key input actuations is determined, using a predictive text engine, and shown to the user. Upon the determination of the first set, a speech input device and a speech recognition engine is activated and a speech input is received. Based on the speech input, using a the speech recognition engine, a second set of proposed words is determined. Finally, the first and second set of proposed words are combined into the combined set of proposed words.

Abstract: Providing capitalization correction for unstructured excerpts is described. An excerpt of unstructured content is tokenized into a set of words. The set of words is analyzed for correct capitalization. Individual characters constituting at least one such word in the set of words are evaluated. The at least one such word is skipped if determined to be of a predefined type.

Abstract: In one aspect, the present invention comprises an apparatus for character entry on an electronic device, comprising: a keyboard with one row of keys; and an electronic display device in communication with the keyboard; wherein one or more keys on the keyboard has a correspondence with a plurality of characters, and wherein the correspondence enables QWERTY-based typing. In another aspect, the invention comprises an apparatus for character entry on an electronic device, comprising: a keyboard with a plurality of keys; and an electronic display device in communication with the keyboard; wherein one or more keys on the keyboard has a correspondence with a plurality of characters, and wherein, for each of the one or more keys, the plurality of characters comprises: (a) a home row character associated with a particular finger when touch typing; and (b) a non-home-row character associated with the particular finger when touch typing.

Abstract: A system, method and computer-readable medium that previews words and commands recognized by a continuous stroke recognizer based on input into a virtual keyboard layout is presented. The system and method allows a user to see the word that will be recognized or output before the user commits the continuous stroke input to the system. Further, after recognition and output, the system presents the recognized output word and the closest word candidates in a correction display integrated with the virtual keyboard layout. Among other things, the user is provided with options to change the current output word by selecting another word candidate on the correction display, and to delete the current output word by selecting the representation of the current output word on the correction display.

Abstract: A method for predictive text input is disclosed. The method includes receiving a punctuation symbol at text input; determining, from a set of stored punctuation symbol combinations, a set of punctuation symbol combination candidates; and presenting the set of punctuation symbol combination candidates for enabling selective input from the punctuation symbol combination candidates. A computer program, a user interface, and an apparatus is also disclosed.

Abstract: A data entry system having a plurality of a first type of input means, such as keys, to provide input signals to which symbols, such at least the letters of the alphabet of at least one language, are distributively assigned, and such that at least two of the letters are assigned to at least one of the input means, and wherein pressing a key may provide a first input information that ambiguously correspond to any of the letters and a second input information for supporting using a second type of input means for entering unambiguous letters, and wherein the data entry system supports at least one database of words such that in order to enter a desired word of said at least one database, a user of said system selects one or two input methods.