Abstract: An automatic artwork review system validates an artwork or a product label based on a received label specification document. Text extracted from the product label is chunked into sentences and words. Character-wise comparison is executed to identify the best match text from the label specification document for the sentence chunks from the product label. If the corresponding best match texts bears a similarity higher than a predetermined threshold to selected text including one or more sentence chunks, no errors are raised. If the similarity of the best match text to the selected text is not higher than the predetermined threshold, the specific errors occurring in the selected text and the particular portions where such errors are present are identified. The information regarding the errors can be output via one or more of an output user interface or a label compliance report.

Abstract: Disclosed techniques relate to managing a dialogue between a user device and an autonomous agent. For instance, a computing device creates a discourse tree from a body of text that includes fragments. The discourse tree includes a root node, nonterminal nodes, and terminal nodes. Each nonterminal node represents a rhetorical relationship between two of the fragments and each terminal node is associated with one of the fragments. The computing device determines a main topic of the body of text from the discourse tree. The computing device provides the main topic to the user device, and in response, receives a user utterance. The computing device determines an intent from the user utterance and navigates the discourse tree to locate relevant information consistent with the intent.

Abstract: An information handling system includes a memory device and a processor. The processor instantiates a knowledge base that includes knowledge base information arranged into a parent image locale (PIL) that includes a parent image that presents a portion of the knowledge base information in a first language. The processor translates the knowledge base information into a second language. In translating, the processor further determines that the knowledge base information has previously been translated into the second language based upon the knowledge base information being further arranged into a child image locale (CIL) that includes a child image that presents the portion of the knowledge base information in the second language, and replaces the child image with the parent image in the CIL when a first date when the parent image was modified is later than a second date when the child image was modified.

Abstract: A computer-implemented method reduces the number of character set conversions in a distributed data virtualization system. The method includes receiving, from a first application, a first request for a set of data, including a requested codepage, stored in a first data source of a plurality of data sources. The method includes obtaining, by a connector, from the first data source, a first codepage associated with the first data source, which identifies a character set associated with the set of data. The method also includes adding a virtual coded character set identifier (VCCSID) in a first catalog entry of a catalog, wherein the first VCCSID is added to a nickname column of the catalog. The method includes obtaining and sending the set of data to the data application while allowing maximum of one codepage conversion.

Abstract: Navigating text using an extended discourse tree. In an example, a method accesses an extended discourse tree that includes a first discourse tree for a first document and a second discourse tree for a second document. The method determines a first elementary discourse unit that is responsive to a query from a user device and a corresponding first position. The method further determines a set of navigation options including a first rhetorical relationship between the first elementary discourse unit and a second elementary discourse unit of the first discourse tree and a second rhetorical relationship between the first elementary discourse unit and a third elementary discourse unit of the second discourse tree. The method presents the rhetorical relationships to a user device. Responsive to receiving, from a user device, a selection of a rhetorical relationship, the method presents a corresponding elementary discourse unit to the user device.

Abstract: According to an aspect, an electronic system for outputting video data and audio data includes a terminal device which generates the audio data and the video data; a wearable audio device which communicatively connects to the terminal device through a first wireless communication scheme; and a wearable augmented reality (AR) device which communicatively connects to the terminal device through a second wireless communication scheme. The wearable AR device receives the audio data and the video data from the terminal device, outputs the video data through a display of the wearable AR device, and outputs the audio data through a speaker of the wearable AR device, and the wearable audio device receives the audio data output from the wearable AR device using a microphone of the wearable audio device and outputs the audio data received from the wearable AR device through a speaker of the wearable audio device.

Abstract: Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

Abstract: Provided are an image display apparatus and a method of controlling the same. The image display apparatus enabling voice recognition includes: a first voice inputter which receives a user-side audio signal; an audio outputter which outputs an audio signal processed by the image display apparatus; a first voice recognizer which recognizes the user-side audio signal received through the first voice inputter; and a controller which decreases a volume of the audio signal output through the audio outputter to a predetermined level if a voice recognition start command is received.

Abstract: Techniques that facilitate generating and executing an optimal dialogue strategy are provided. In one example, a system includes an information gain component and a question selector component. The information gain component estimates information gain data associated with first dialogue data of an information system. The information gain data is indicative of an amount of change in entropy associated with the first dialogue data. The question selector component selects between second dialogue data associated with a first question strategy and third dialogue data associated with a second question strategy based on the information gain data.

Abstract: A method and apparatus are disclosed for enhancing operable functionality of input source code files from a software program by identifying a first code snippet and a first library function which have similar execution flow similarity measures by evaluating a first contiguous sequence of n items extracted from the first code snippet against a second contiguous sequence of n items extracted from the first library function using an Ngram threshold that is calculated for the first library function and one or more literals from the first code snippet so that the developer is presented with a library function recommendation which includes the first code snippet, the first library function, and instructions for replacing the first code snippet with the first library function.

Abstract: A speech recognition method including performing speech recognition on an inputted speech to obtain a first text, correcting the first text according to an obtained mapping relationship between words in different languages to obtain at least one second text, and in response to determining that the at least one second text corresponds to the same language, outputting the first text, or in response to determining that the at least one second text corresponds to different languages, determine an outputted text according to first probability values corresponding to each of the at least one second text. By combining the mapping relationships between words in different languages in correcting the initial ASR result, the present application ensures the accuracy of the final speech recognition result.

Abstract: Determining a language for speech recognition of a spoken utterance received via an automated assistant interface for interacting with an automated assistant. Implementations can enable multilingual interaction with the automated assistant, without necessitating a user explicitly designate a language to be utilized for each interaction. Implementations determine a user profile that corresponds to audio data that captures a spoken utterance, and utilize language(s), and optionally corresponding probabilities, assigned to the user profile in determining a language for speech recognition of the spoken utterance. Some implementations select only a subset of languages, assigned to the user profile, to utilize in speech recognition of a given spoken utterance of the user.

Abstract: A summarizer can be invoked by a user to summarize content. Once started, the summarizer can examine the content, determine a main body of the content, extract texts from the main body, concatenate the texts into a text block, and make a call to an artificial intelligence (AI) platform. The call can contain the text block and specify a user-configurable summarization range for summarizing the text block. The AI platform is operable to generate a sentiment of the text block and a summary of the text block in the summarization range and return them to the summarizer. The summarizer, in turn, can instruct an application on the user device to generate a window or page for displaying the sentiment and the summary in the summarization range on the user device, in real time and in context of the content that the user is viewing, reading, or listening.

Abstract: A method of forming unique, private, personal, virtual social networks on a social network system that includes a database storing data relating to corresponding user entities. The method includes: a first user entity sending an invitation to a second user entity, recording in the database the second user entity as a direct contact of the first user entity and determining that third user entities, directly connected to the second user entity, are indirect contacts. A unique, personal, social network formed from direct and indirect contacts is thereby created for each user entity. Each user entity is able to control privacy of its data with respect to other user entities depending on the connection factor to that other entity and/or that other entity's attributes. Each user entity is able to take the role of provider or participant in applications where the provider provides an item or service to the participant.

Abstract: Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity).

Abstract: Techniques for configuring and presenting multiple languages at a user interface executing in an operating environment of a process plant include configuring, in a configuration environment, a multi-language interface object to indicate a plurality of languages that may be presented at the user interface. The multi-language interface object includes a parameter whose value is changeable, within the operating environment, to indicate a desired language that is to be presented on the user interface. A configuration of the graphical display view that references the configured multi-language interface object is downloaded into the operating environment. Thus, during runtime, changes in the language utilized at the user interface are implemented without any additional downloads from or communications with the configuration environment.

Abstract: Computer-implemented systems and methods for efficiently searching large data volumes for one or more items with a definable degree of similarity. The systems and methods may include functionality directed to selecting at least one token from the one or more tokens in a target item, the token including an identifiable character string defining, fully or partially, at least one of a name, an address, an entity or other identifier associated with the target item; extracting a character from the identifiable character string after the character string is standardized to a known common version of the character string; responsive to a character distribution lookup, determining that the extracted character corresponds to a first shard from among a plurality of discrete shards; and grouping the item into the first shard, the character distribution lookup being adjustable overtime to provide for a balanced distribution of items across the plurality of discrete shards.

Abstract: A discourse-level text translation method and device, the method comprising: acquiring a text to be translated, the text to be translated being a unit text in a discourse-level text to be translated (S101); acquiring an associated text of the text to be translated, the associated text including at least one of a preceding source text, a following source text, and a preceding target text (S102); and translating, according to the associated text, the text to be translated (S103).

Abstract: Disclosed is method and system for turning existing object-oriented programming languages into smart contract languages without introducing new syntactic features. The invented method and system provide a protocol that enables storing a history of computations on a decentralized computer network, such as UTXO-based blockchain system, for any object-oriented computer language. The invented method and system further provide for storing and updating data on blockchains, where such blockchains may be used in cryptocurrency applications and for smart contracts.

Abstract: An example embodiment may involve a software application executable on computing devices of a remote network management platform containing a computational instance associated with a managed network. A text string may be received, and characters of the string may be categorized among a plurality of symbol script families. A respective likelihood of the string corresponding to each family may be determined, and a respective probability of the string being in each language of each given family may also be determined. The respective probabilities for the languages of each given family may be weighted by the likelihoods of the given family, and then weighted sums of the probabilities for each language may be computed. The maximum of the weighted sums may correspond to the language of the text string. The respective probabilities may be determined according to hybrid N-gram and word language models for each family.

Abstract: A method, an apparatus, a device and a storage medium for outputting information are provided. The method includes: acquiring a to-be-translated sentence; determining a foreign language sentence matching the to-be-translated sentence from a preset set of sentence pairs, where the set of sentence pairs includes local language sentences and corresponding foreign language sentences; determining a target foreign language sentence of the to-be-translated sentence according to the to-be-translated sentence and the determined foreign language sentence; and outputting the target foreign language sentence.

Abstract: A client device can generate a graphical user interface (GUI) including a set of form fields. The client device can receive user input including a first set of form values for the set of form fields from a first entity via the GUI. The client device can also receive an electronic communication via a network, the electronic communication including a second set of form values for the set of form fields as input by a second entity on a remote client device. The client device can compare the second form values to the first form values to identify a mismatch between the first set of form values and the second set of form values. In response to identifying the mismatch, the client device can update the GUI to include a graphical marker indicating the mismatch between the first set of form values and the second set of form values.

Abstract: Systems and methods for assessing similarity of documents are provided. Embodiments of the systems and methods include extracting a reference document text from a reference document, extracting an archived document text from an archived document, and quantifying the reference document and the archived document. The systems and methods may also include determining a document similarity value of the quantified reference document and the archived document. Determining the document similarity value includes calculating a set of vector similarity values for a set of combinations of a reference document text vector and an archived document text vector, and calculating the document similarity value, including a sum of the plurality of vector similarity values.

Abstract: Systems and methods are disclosed in which merchants on an e-commerce platform may use a same computer application to start and/or join discussion groups with other merchants on the e-commerce platform. An existing discussion group may be recommended to a merchant based on data specific to that merchant. A notification of the recommendation may be transmitted to the user interface of the merchant's device, and if the merchant accepts the recommendation, then the discussion group may be added to the set of discussion groups the merchant follows. Alternatively, a recommended discussion group may be automatically added to the set of discussion groups the merchant follows.

Abstract: A system for generating an output audio signal includes a context encoder, a text-prediction network, and a text-to-speech (TTS) model. The context encoder is configured to receive one or more context features associated with current input text and process the one or more context features to generate a context embedding associated with the current input text. The text-prediction network is configured to process the current input text and the context embedding to predict, as output, a style embedding for the current input text. The style embedding specifies a specific prosody and/or style for synthesizing the current input text into expressive speech. The TTS model is configured to process the current input text and the style embedding to generate an output audio signal of expressive speech of the current input text. The output audio signal has the specific prosody and/or style specified by the style embedding.

Abstract: Various embodiments are described which leverage techniques for breaking down critical ideas from an inputted phrase into concepts in order to provide a response that is more relevant to the inputted phrase. In this regard, concepts and/or concept patterns are utilized with information retrieval searching to provide more relevant and concise documents in response to an inputted phrase. In addition, concepts and/or concept patterns are utilized with respect to assessing information (e.g., documents) available in a knowledge base and building appropriate pre-defined responses to an inputted phrase.

Abstract: Disclosed herein are a natural language processing system and method, more particularly a natural language processing system and method using a synapper model unit.

Abstract: A method for localizing a software resource in a second language is disclosed. The method may include receiving a software resource in a first language, receiving data relating to a state of translations performed for the software application by a localization service, determining based on the software resource in the first language and the data whether an up-to-date software resource in a second language exists in a data store where the software resource in the second language corresponds to the software resource in the first language.

Abstract: At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: A system and method for detecting global interpretation risks in an email. A method includes extracting data from a header of an email, the data indicative of a locale of a sender; comparing the extracted data to other data indicative of a locale of a recipient of the email; and in response to a mismatch between the locales of the sender and recipient: scanning content of the email to identify portions of content subject to misinterpretation by the recipient, and modifying display of the email in response to an identification of at least one portion of content subject to misinterpretation, the modifying to indicate possible misinterpretation of the content by the recipient.

Abstract: In some implementations, a system may receive interaction data indicating an interaction time and amount. The system may categorize the interaction in a category of a plurality of categories. For each category, the system may compare a total category amount with an average category amount. The system may determine, for each category, a proportion of the total category amount relative to a total account amount. The system may transmit, to a user device, user interface data associated with a ring-shaped user interface element that includes a plurality of segments corresponding to the plurality of categories. The user interface data indicates a width of a particular segment that is based on the comparison of the total category amount for a corresponding category with the average category amount, and an arc length that is based on the proportion of the total category amount for the corresponding category to the total account amount.

Abstract: An agent system includes a first memory and a first processor coupled to the first memory. The first processor analyzes contents of a verbal question, and carries out pre-processing that replaces vocabulary, which is used in the contents of the question, with homogenized vocabulary, and generates response information based on results of analysis. In a case in which there exists substitution vocabulary that has replaced original vocabulary in the pre-processing, the first processor changes the response information such that it can be recognized that the substitution vocabulary in the response information is synonymous with the original vocabulary, and outputs the response information.

Abstract: Methods and apparatus to supplement web crawling with cached data from distributed devices are disclosed. An example apparatus includes a browser monitor to extract a language setting from a web browser of a panelist computing device, and a data communicator to transmit data associated with a webpage accessed by the web browser and an indication of the language setting to a server.

Abstract: Provided is a welding helmet control device comprising: a welding sensor or a light sensor configured to detect presence and intensity of welding light; a controller configured to count presence, intensity, and elapsed time of welding light, detected by the welding sensor or the light sensor, and to determine welding intensity, weld time, resting time, and weld number; a memory configured to store the welding intensity, the weld time, the resting time, and the weld number; a display configured to display the welding intensity, the weld time, the resting time, and the weld number, stored in the memory; a shutter driver configured to drive a shutter liquid crystal display (LCD) to vary a darkness concentration under control of the controller; and a setting unit configured to receive a setting value and a manipulation command, set by a user, and to transmit the received information to the controller.

Abstract: Systems, computer program products, and methods are described herein for implementing data analytics in a mainframe environment. The present invention is configured to determine one or more data analytics resources associated with natural language processing algorithms; initiate one or more compiler protocols on the one or more data analytics resources to build one or more executable code for the one or more data analytics resources capable of being executed on a mainframe environment; establish a communication link with a job control language (JCL) subsystem associated with the mainframe environment; transmit the one or more executable code for the one or more data analytics resources to the JCL subsystem; generate one or more job control statements configured to be executable on the mainframe environment; generate a log of the one or more job control statements; and initiate an execution of the one or more job control statements on the mainframe environment.

Abstract: Structured data templates and invocation statements may be used to dynamically define values, which allows for more efficient data encoding than traditional techniques. A given structured data template may be assigned a template identifier. A writer may generate an invocation statement that references a template identifier for a particular structured data template in order to generate a more compact representation of a structured portion of source data (based on the structured data template matching the structured portion of data). The structured data template may specify that any number of the fields is an “unassigned” field. The invocation statement may specify values for these fields, resulting in a more compact representation of the structured portion of data. The use of an invocation statement and a structured data template eliminates the repetitive scaffolding of an object being written out.

Abstract: A system for monitoring a data-driven model, configured to perform a task in a plurality of sites, includes a plurality of variants of the data-driven model deployed in each site. Each variant is used in one of a plurality of states including a first state wherein the output data of the variant is included in computing a result of the task, and a second state wherein the output data of the variant is excluded from computing the result of the task. A supervision module in each site monitors the plurality of variants, computes the task result based on the output data generated by each variant being used in the first state, and changes, based on the output data generated by variants being used in the first state and in the second state, the use state of a variant from one state to another.

Abstract: The present invention relates to a computer implemented system for animating a virtual object or digital entity. It has particular relevance to animation using biologically based models, or behavioural models particularly neurobehavioural models. There is provided a plurality of modules having a computational element and a graphical element. The modules are arranged in a required structure and have at least one variable and being associated with at least one connector. The connectors link variables between modules across the structure, and the modules together provide a neurobehavioural model. There is also provided a method of controlling a digital entity in response to an external stimulus.

Abstract: Systems and methods for providing a search-directed user interface for online banking applications. An example method may comprise: receiving, via a graphical user interface (GUI) session associated with an authenticated user, a search argument comprising a character string; executing, by a processing device, a search query by matching the character string to account data of one or more accounts that the authenticated user is authorized to access, the account data comprising a plurality of data items representing at least one of: financial product types, financial product identifiers, financial transaction types, financial transaction descriptions, financial transaction amounts, portfolio types, accounts, and aggregated financial indicators; and causing a data set produced by executing the search query to be visually represented via the GUI session.

Abstract: The present disclosure relates to a data processing method, a medical term processing system, a medical diagnostic system, a medical intelligent triage apparatus and a computer readable storage medium. The method comprises: acquiring statement information inputted by a user; dividing the statement information into a plurality of information segments by means of a predetermined algorithm, the plurality of information segments comprising a first information segment; establishing a Gaussian distribution of each of the information segments; calculating the similarity between the first information segment and words in a database by means of a similarity model; and obtaining, from words in the database, at least one second information segment for describing the first information segment based on the calculated similarity. The present disclosure can provide professional terms, such as medical terms, corresponding to colloquial expressions, to facilitate users' diagnosis and treatment.

Abstract: A document can be presented on a computer that includes at least two video output ports. The document is divided into multiple parts, with each part being expressed in a different language. Each one of the at least two video output ports can be configured in or for a language of a partial document to be output by the video output port. Each one of the at least two video output ports can be made to synchronously output the partial document to which the language configured for the video output port corresponds.

Abstract: Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

Abstract: Disclosed are a method, device and readable storage medium for speech recognition. The method includes: determining speech features of the speech data by feature extraction on the speech data; determining syllable data corresponding to each of the speech features based on a plurality of feature extraction layers and a softmax function layer included in an acoustic model, where the acoustic model is configured to convert the speech feature into the syllable data; determining text data corresponding to the speech data based on a language model, a pronouncing dictionary and the syllable data, where the pronouncing dictionary is configured to convert the syllable data into the text data, and the language model is configured to evaluate the text data; and outputting the text data.

Abstract: A processing unit can extract salient semantics to model knowledge carryover, from one turn to the next, in multi-turn conversations. Architecture described herein can use the end-to-end memory networks to encode inputs, e.g., utterances, with intents and slots, which can be stored as embeddings in memory, and in decoding the architecture can exploit latent contextual information from memory, e.g., demographic context, visual context, semantic context, etc. e.g., via an attention model, to leverage previously stored semantics for semantic parsing, e.g., for joint intent prediction and slot tagging. In examples, architecture is configured to build an end-to-end memory network model for contextual, e.g., multi-turn, language understanding, to apply the end-to-end memory network model to multiple turns of conversational input; and to fill slots for output of contextual, e.g., multi-turn, language understanding of the conversational input.

Abstract: While displaying an application user interface for an application (e.g., a media application), a computer system receives a request to display a system user interface in place of the application user interface. In response, the computer system performs one of a plurality of operations in accordance with a state of the application, including: in accordance with a determination that the application is in a first state, display information about the application in the system user interface; and in accordance with a determination that the application is in a second state distinct from the first state, displaying the system user interface without the information about the application in the system user interface.

Abstract: To provide a database creation apparatus and the like capable of creating a database with its usefulness increased. A data processing server 2 acquires Japanese language data and foreign language data from external servers 6, creates machine-translated data by translating the foreign language data into data written in the Japanese language using machine translation, creates mixed data by combining the machine-translated data as an additional part of the Japanese language data, and creates retained data using the mixed data.

Abstract: An example embodiment may involve a software application executable on a computing device of a computational instance of a remote network management platform associated with a managed network. The software application may receive, from a client device of the managed network, a natural language query, determine that a first term of the query does not match any term in a list of predetermined terms, and revise the query by (i) applying a set of linguistic rules that modify the first term to generate a replacement term, (ii) determining whether the replacement term matches at least one term in the list, and (iii) after determining that the replacement term matches at least one term in the list, replacing the first term in the query with the replacement term. The software application may then parse the revised query, search the database, and transmit a result to the client device.

Abstract: A computer-implemented method for translating a user-interface of a web-based software application in a web browser environment. The method comprises receiving a request to translate the user-interface from a source language to a target language. A user-interface source code is browsed, the browsing comprising: locating source text elements of the user-interface source code to be translated from the source language to the target language, populating a correspondence table with the source text elements, associating the source text elements of the correspondence table with target text elements, the target text elements corresponding to source text elements translated in the target language, generating a translated user-interface source code based on the user-interface source code and the correspondence table, and rendering the translated user-interface source code in the web browser.

Abstract: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for transliteration for speech recognition training and scoring. In some implementations, language examples are accessed, some of which include words in a first script and words in one or more other scripts. At least portions of some of the language examples are transliterated to the first script to generate a training data set. A language model is generated based on occurrences of the different sequences of words in the training data set in the first script. The language model is used to perform speech recognition for an utterance.

Abstract: An apparatus includes a memory and a processor. The memory stores a set of sentence blocks, each including one or more sentence variants, and information identifying a selected variant. The processor displays a sequence of elements, each associated with a block and displaying the selected variant of the block, and a plurality of sentences, each assigned to a block and corresponding to the selected sentence variant of the block. The processor receives a selection of a first element, associated with a first block, or a first sentence, corresponding to the selected sentence variant of the first block, and, in response, displays the sentence variants of the first block, and an identification of the first sentence as the selected sentence variant of the first block. The processor receives information identifying a new selected sentence variant of the first block, and replaces the displayed first sentence with the new selected sentence variant.