111 results about "Autocorrection" patented technology

A method and system are defined which determine one or more alternate textual interpretations of each sequence of inputs detected within a designated auto-correcting keyboard region. The actual contact locations for the keystrokes may occur outside the boundaries of the specific keyboard key regions associated with the actual characters of the word interpretations proposed or offered for selection, where the distance from each contact location to each corresponding intended character may in general increase with the expected frequency of the intended word in the language or in a particular context. Likewise, in a mechanical keyboard system, the keys actuated may differ from the keys actually associated with the letters of the word interpretations. Each such sequence corresponds to a complete word, and the user can easily select the intended word from among the generated interpretations.

Systems and processes for unified language modeling are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a character of a sequence of characters and determining a current character context based on the received character of the sequence of characters and a previous character context. The method further includes determining a current word representation based on the current character context and determining a current word context based on the current word representation and a previous word context. The method further includes determining a next word representation based on the current word context and providing the next word representation.

There is disclosed an enhanced text entry system which uses word-level analysis to correct inaccuracies automatically in user keystroke entries on reduced-size or virtual keyboards. A method and system are defined which determine one or more alternate textual interpretations of each sequence of inputs detected within a designated auto-correcting region. The actual interaction locations for the keystrokes may occur outside the boundaries of the specific keyboard key regions associated with the actual characters of the word interpretations proposed or offered for selection, where the distance from each interaction location to each corresponding intended character may in general increase with the expected frequency of the intended word in the language or in a particular context. Likewise, in a virtual keyboard system, the keys actuated may differ from the keys actually associated with the letters of the word interpretations. Each such sequence corresponds to a complete word, and the user can easily select the intended word from among the generated interpretations. Additionally, when the system cannot identify a sufficient number of likely word interpretation candidates of the same length as the input sequence, candidates are identified whose initial letters correspond to a likely interpretation of the input sequence.

A system and methods are provided for runtime spelling analysis and correction in a computing system. Misspelled entries or input text is automatically corrected turning the misspelled entries or input text into valid entries or text. The words used for spell checking and correction may be collected through multiple channels or from multiple sources, including words commonly found on the Web, and in users' entries or input text, as well as words from a standard language lexicon, all of which may be in one or more languages. The word(s) are automatically corrected only when there is a very high confidence that the correction is desirable. In various embodiments, the system implements a plurality of mechanisms with which the user can override the correction if invoked.

A system and method for recognition and automatic correction of voice commands are disclosed. A particular embodiment includes: receiving a set of utterance data, the set of utterance data corresponding to a voice command spoken by a speaker; performing a first-level speech recognition analysis on the set of utterance data to produce a first result, the first-level speech recognition analysis including generating a confidence value associated with the first result, the first-level speech recognition analysis also including determining if the set of utterance data is a repeat utterance corresponding to a previously received set of utterance data; performing a second-level speech recognition analysis on the set of utterance data to produce a second result, if the confidence value associated with the first result does not meet or exceed a pre-configured threshold or if the set of utterance data is a repeat utterance; and matching the set of utterance data to a voice command and returning information indicative of the matching voice command without returning information that is the same as previously returned information if the set of utterance data is a repeat utterance.

An adaptation of standard edit distance spell-check algorithms leverages probability-based regional auto-correction algorithms and data structures for ambiguous keypads and other predictive text input systems to provide enhanced typing correction and spell-check features. Strategies for optimization and for ordering results of different types are also provided.

Said invention provides a mobile telephone time autocorrection method. It contains signal reception / transmitting unit, time signal sampling unit memory unit, central processing unit and display unit, said method mainly setting mobile telephone initial time, time adjustment cycle, and standard time source connection mode and time request , when need proceeding time correction, said mobile telephone automatically transmitting time request to standard time source and taking standard time then configuring said standard time as system time of mobile telephone to reach higher time precision by using normal quartz oscillator.

Method and apparatus for converting language text input into a different language text output. One embodiment may be configured to convert Pinyin into written Chinese language text. Embodiments may provide a language input mechanism that accepts phonetic language input text and generates written language output text, and that also accepts modifications to existing input text and automatically corrects the corresponding output text. Embodiments may display one or more alternative output text words and/or sentences as candidates for the transliteration of the input text. The candidate output words may be ranked according to calculated probabilities, with a most probable candidate appearing first. The user may select from the candidate output text to build an output sentence that represents the correct or preferred transliteration of the input text. A lexicon, language model and history cache of previously selected output text words may be referenced in determining the probabilities of candidate output words.

User input is received, specifying a continuous traced path across a keyboard presented on a touch sensitive display. An input sequence is resolved, including traced keys and auxiliary keys proximate to the traced keys by prescribed criteria. For each of one or more candidate entries of a prescribed vocabulary, a set-edit-distance metric is computed between said input sequence and the candidate entry. Various rules specify when penalties are imposed, or not, in computing the set-edit-distance metric. Candidate entries are ranked and displayed according to the computed metric.

A system associated with a text entry application, such as email or instant messaging, comprises an optional onscreen representation of a circular keyboard, a list of potential linguistic object matches, and a message area where the selected words are entered. The circular keyboard is manipulated via a hardware joystick or game-pad with analog joystick or omni-directional rocker switch built therein. The user points the joystick in the general direction of the desired letter, and then continues pointing roughly to each letter in the desired word. Once all letters have been roughly selected, buttons are used to select a specific word from the list of potential matches and send the selected word to the message area.

A hybrid approach to improve handwriting recognition and voice recognition in data process systems is disclosed. In one embodiment, a front end is used to recognize strokes, characters and/or phonemes. The front end returns candidates with relative or absolute probabilities of matching to the input. Based on linguistic characteristics of the language, e.g. alphabetical or ideographic language for the words being entered, e.g. frequency of words and phrases being used, likely part of speech of the word entered, the morphology of the language, or the context in which the word is entered), a back end combines the candidates determined by the front end from inputs for words to match with known words and the probabilities of the use of such words in the current context.

The invention discloses a Chinese text automatic correction method. The method comprises the following steps of: a) inputting a to-be-corrected Chinese text, and performing word segmentation preprocessing on the Chinese text sentence by sentence; b) searching for one-character words, two-character words or disperse strings of three or more than three characters occurring in the text subjected to word segmentation sentence by sentence; c) performing continuous determination on the disperse strings occurring in the text subjected to word segmentation by adopting an N-gram model, and checking text word level errors for each single sentence in combination with a word forming probability of separate characters; and d) constructing an error correction knowledge base to generate an error correction candidate text. According to the Chinese text automatic correction method provided by the invention, the one-character words, two-character words or disperse strings of three or more than three characters occurring in the text subjected to word segmentation are searched for sentence by sentence, the disperse strings occurring in the text subjected to word segmentation are subjected to continuous determination by adopting the N-gram model to determine identification errors, and the error correction knowledge base is constructed to generate the error correction candidate text, so that error checking and correcting processes are combined very well, and the method has the characteristics of high error checking speed and high error correcting efficiency.

A device of the present invention obtains a character string of a speech recognition result and a confidence factor thereof. A time monitor monitors time and determines whether or not processing is delayed by checking the confidence factor and time status. When the processing is not delayed, a checker is asked to perform manual judgment. In this event, speech is processed and the manual judgment of the speech recognition result is performed on the basis of the processed speech. When the processing is delayed, automatic judgment is performed by use of the confidence factor. When the character string is judged to be correct as a result of the manual judgment or the automatic judgment, the character string is displayed as a confirmed character string. When the character string is judged to be incorrect, automatic correction is performed by matching on the basis of a next candidate obtained by the speech recognition, texts and attributes of the presentation, a script text, and the like. Character string after the automatic correction is displayed as an unconfirmed character string.

A method and system are provided for processing a document comprising a plurality of content portions. The document includes code identifying tasks corresponding to at least one content portion of the document, and code defining an associated user interface element. When the user interface element is activated to invoke the task, tasks to be executed by a remote system are executed by the remote system using a remotely stored copy of the associated content portion, while tasks to be executed by a local system are executed by the local system using a locally stored copy of the content portion. Changes to at least certain portions of the document are synchronized between the local and remote servers. The tasks can include a consistency-checking task for verifying consistency of certain content within the document, and display of results with optional suggested corrections to permit manual or automatic correction of detected discrepancies.

The present invention provides a method of image color autocorrection and system of digital videography. The method includes following steps: determining at least one object area from the image, the object area containing character pixel having special hue; calculating the color average value of all character pixel in the object area; setting desired hue of the character pixel; calculating color correction matrix utilizing the color average value of the desired hue and the character pixel; and correcting color of the whole image utilizing the color correction matrix. The method and system of the invention can automatically correct the object area according to the user desired hue.

The invention discloses a mechanism for positioning pointers of a watch and methods for positioning, resetting and calibrating the pointers and belongs to the technical field of the watch. The invention is technically characterized in that: an ordinary reflecting photoelectric sensor is arranged on the front surface of a movement of the watch and used for capturing pointer signals which are generated during the sweeping of the pointers; a microprocessor processes the pointer signals; a filtering module of the microprocessor performs correlation filtering on the pointer signals to improve the signal to noise ratio of the pointer signals; a pointer identification module performs statistic analysis and characteristic analysis on the pointer signals to determine the position of each pointer; and a motor control module controls the pointers to move according to the position of each pointer, so that the pointers can be automatically calibrated and reset. In the scheme, an ordinary process installation requirement is only required without designing of a special detection component, so that a technology for automatically calibrating the pointers of the watch can be popularized and applied on a large scale, the cost of products can be greatly reduced, and the invention has an important technical significance and a business value.

Methods and systems of multi-word automatic correction (“autocorrect”) are provided. Autocorrect generally can select a corrected word based on a typed word and a dictionary of correctly-spelled words. Multi-word autocorrect can add to this functionality by revisiting the selection of an initial corrected word if a subsequently-typed word indicates that it would be more appropriate to instead select an additional corrected word. In some cases, an autocorrect system can make a multi-word correction based on a multi-word phrase in a dictionary, such as replacing “new york” with “New York” as described above. In other cases, an autocorrect system can make a multi-word correction to correct a mistakenly-typed delimiter character. In other cases, an autocorrect system can use grammar rules to obtain additional context information with each subsequently-typed word and make multi-word corrections on that basis.

The invention discloses an industrial intelligent camera. The camera is composed of a host device and a set of parameter setting software. The host device is installed on an industrial production line to run independently to realize the machine vision detection function of product quality. The parameter setting software operates in the same way as a PC. The machine is used for the initial configuration of the host device. The camera is not only small in size, low in manufacturing cost, easy to install and use, but also has strong versatility. It provides a variety of machine vision inspection tools, and users can select and combine these inspection tools in a visual way according to specific inspection tasks. , realize software customization, and quickly adapt to the detection of various products. Inspection tools involve dimension measurement, barcode, two-dimensional code recognition, character recognition, color, grayscale recognition, feature matching, defect detection and other machine vision inspection methods, and can automatically correct the rotation and translation of the workpiece.

The invention discloses a gain autocorrection sending machine, which comprises: an input digital power detection module for receiving the baseband signal, obtaining the incoming signal digital power based on the baseband signal; a signal processing module for processing the baseband signal from the input digital power detection module and outputting the radiofrequency signal, a power output module for magnifying and outputting the radiofrequency signal of the signal processing module, and regulating the gain of the radiofrequency signal based on the incoming signal digital power obtained by the input digital power detection module, the output signal digital power obtained by an output power digital detection module; the output power digital detection module for coupling the radiofrequency signal of the power output module, and obtains the output signal digital power based on the radiofrequency signal. The embodiment of the invention overcomes the average effect of the simulate detection in prior art, achieves the gain calibration in real time.