Abstract: A translation device includes a storage unit configured to store a plurality of pieces of learning data, a normalized sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining original text for learning and a corresponding normalized sentence for learning, a translated sentence learning unit configured to perform learning on the plurality of pieces of learning data by combining the original text for learning and a corresponding translated sentence for learning, and a model generation unit configured to generate one normalization/translation model on the basis of a result of learning by the normalized sentence learning unit and the translated sentence learning unit, in which, on at least a part of the learning data, the translated sentence learning unit performs learning after the normalized sentence learning unit performs learning.

Abstract: Techniques for altering default language, in system outputs, with language included in system inputs are described. A system may determine a word(s) in user inputs, associated with a particular user identifier, correspond to but are not identical to a word(s) in system outputs. The system may store an association between the user identifier, the word(s) in the user inputs, and the word(s) in the system outputs. Thereafter, when the system is generates a response to a user input, the system may replace the word(s), traditionally in the system outputs, with the word(s) that was present in previous user inputs. Such processing may further be tailored to a natural language intent.

Abstract: A content management system obtains at least a portion of a meeting transcript based on an audio stream of a meeting attended by a plurality of users, the meeting transcript obtained in an ongoing manner as words are uttered during the meeting. The content management system detects text entered by a user of the plurality of users into a content item during the meeting. The content management system matches the detected text to at least part of the at least the portion of the meeting transcript. The content management system provides the at least part of the at least the portion of the meeting transcript to the user as a suggested subsequent text.

Abstract: System and method for the indexing and searching of multilingual documents are disclosed.

Abstract: The present embodiments relate to a language identification system for predicting a language and text content of text lines in an image-based document. The language identification system uses a trainable neural network model that integrates multiple neural network models in a single unified end-to-end trainable architecture. A CNN and an RNN of the model can process text lines and derive visual and contextual features of the text lines. The derived features can be used to predict a language and text content for the text line. The CNN and the RNN can be jointly trained by determining losses based on the predicted language and content and corresponding language labels and text labels for each text line.

Abstract: The disclosure relates to a method of training an artificial neural network so that a first artificial neural network is trained based on a plurality of training data including a first feature and a second feature that has a correlation with the first feature and depends on the first feature.

Abstract: Methods, systems, and apparatus are provided for operating a contact center operation control assistant system. An oral request from a user is captured using a virtual assistant executing on a smart device. An intent of the oral request is identified using a natural language understanding (NLU) platform. A request to a contact center platform is generated by invoking an application programming interface (API) based on the identified intent. An API response is received from the contact center platform in response to the API request. The API response is packaged into a sentence and provided to the user of the smart device using the virtual assistant.

Abstract: An apparatus for processing voice commands includes: a memory configured to store computer-executable instructions, and a processor configured to execute the computer-executable instructions. When executed, the instructions cause the processor to perform: receiving an utterance of a user in an input language set by the user, determining an utterance intent of the utterance by analyzing the utterance with the input language, determining a standard utterance in the input language corresponding to the utterance of the user based on the determined utterance intent, determining whether the input language and an output language are different languages, extracting a standard utterance in the output language corresponding to the determined standard utterance in the input language when the input language and the output language are different, generating an output response in the output language based on the extracted standard utterance in the output language, and outputting the output response.

Abstract: An external medical device is provided. The external medical device includes a memory and circuitry, in communication with the memory, to receive input specifying at least in part at least one prompt relating to a health survey for a patient, the at least one prompt being customized based on the patient; convert the at least one prompt to an audio representation; and perform the health survey by at least delivering to the patient the audio representation.

Abstract: A method, system, and computer program product for implementing machine learning natural language digital package generation and selection is provided. The method includes receiving from hardware and software sources, factual data associated with an event. In response, natural language digital templates comprising natural language phrase variants for each portion of the factual data is generated. Factual data phrases are generated and packaged into digital packages including at least one natural language phrase variant with respect to each portion of factual data. An initial package is selected by minimizing a number of repetitions of the factual data phrases across the digital packages and digital summaries are extracted. Alignment attributes associated with the digital summaries are determined with respect to the initial package and a final package is selected. A hardware device is enabled for presenting a video stream including the final package with respect to the event.

Abstract: Systems and methods are described for processing ingested data in an asynchronous manner as the data is being ingested to detect potential anomalies. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and optionally update a characteristic of the data pattern to which the comparable data structure is assigned. The streaming data processor(s) can perform these operations automatically in real-time or in periodic batches. Once one or more comparable data structures have been assigned to one or more data patterns, the streaming data processor(s) can analyze the comparable data structures assigned to a particular data pattern to determine whether any of the comparable data structures appear to be anomalous.

Abstract: A word-sense disambiguation service may be performed to determine the semantic context of an ambiguous targeted word in an electronic data corpus. The word-sense disambiguation service may determine the semantic context of the words in the electronic data corpus by evaluating a main word and the context words surrounding the main word in a portion of text, then determine which context words are useful in defining the semantic context of the main word. The word-sense disambiguation service may then cluster the defining context words together and use the defining context words to train a word-embedding model to recognize the semantic context of an instance of the main word based on the proximity of the defining context words to the main word. A context-sensitive service may then receive input of a desired target word, then retrieve and display the various semantic contexts of the desired target word using the results gathered by the word-sense disambiguation service.

Abstract: A natural language identity classifier system is described, which employs a supervised machine learning (ML) model to perform language identity classification on input text. The ML model takes, as input, non-lexicalized features of target text derived from subword tokenization of the text. Specifically, these non-lexicalized features are generated based on statistics determined for tokens identified for the input text. According to an embodiment, at least some of the non-lexicalized features are based on natural language-specific summary statistics that indicate how often tokens were found within a corpus for each natural language. Use of such summary statistics allows for generation of natural language specific conditional probability-based features.

Abstract: A printing system comprising a printing device and a client device that performs an output instruction of a print job to the printing device by a standard protocol, the printing device comprising: receiving a storage region in which a print job can be stored as a saved job and capability information showing that the storage of the saved job is possible depending on the capacity information request from the client device and accompanying support attribute information by using the standard protocol and associated support attribute information and the client device comprising: a print instruction control means that adds the attribute information corresponding to an instruction from a user as an attribute of the print job upon receipt of a capability response indicating that the storage of the saved job is possible.

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: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a query formatted in a first format for execution on a first database. The computing platform may translate the query to a second format for execution on a second database by: 1) extracting non-essential portions of the query from the query, and replacing the non-essential portions of the query with pointers to create a query key; 2) storing, along with their corresponding pointers, the non-essential portions of the query as query parameters; 3) executing a lookup function on a query library to identify a translated query corresponding to the query key and including the corresponding pointers; and 4) updating the translated query to include the query parameters based on the corresponding pointers to create an output query. The computing platform may execute the output query on the second database.

Abstract: Systems and methods for a media guidance application that generates results in multiple languages for search queries. In particular, the media guidance application ranks search results according the language model associated with the search result.

Abstract: Systems and methods are described for customizing a display of media asset information based on a user preference profile. In particular, media asset description information is customized by changing a term to a synonym that matches an event or keyword in the user preference profile.

Abstract: A text generation apparatus includes a memory and a processor configured to execute acquiring a reference text based on an input text and information different from the input text; and generating a text based on the input text and the reference text, wherein the acquiring and the generating are implemented as neural networks based on learned parameters.

Abstract: Systems and methods to briefly deviate from and resume back to amending a section of a note are disclosed. Exemplary implementations may: obtain audio information representing sound captured by an audio section of a client computing platform, such sound including speech from a user associated with the client computing platform; effectuate presentation of a graphical user interface that includes sections of the note; analyze the audio information to determine which individual ones of the spoken inputs are the primary spoken input or the deviant spoken input; determine, based on analysis, which section of the note to which the deviant spoken input is related; alternately amend, based on the determination, sections of the note by deviating from one section to another section and returning back to the one section for continued population; and effectuate, via the user interface, presentation of the alternating amendments to the sections of the note.

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: An electronic apparatus includes a voice receiving unit, a display unit, and a control unit. The control unit is configured to perform control so as to identify the language of a voice input received by the voice receiving unit. In a case where it is determined the identified language, which is a first language, is different from a second language set as a primary language in the electronic apparatus, the control unit is configured to display on the display unit, a message for confirming whether to change the primary language from the second language to the first language in both the first language and the second language.

Abstract: A computer system extracts product data from a website and correlates product records from multiple sources to one another as corresponding to the same product. A website is crawled efficiently by rendering webpages using a virtual browser that ignores blacklisted elements, extracts data from objects without rendering, and suppressing retrieval of remote resources. Data is extracted according to engine control statements including a selector and extractor. A website may be crawled repeatedly and changes in extracted data may be detected and flagged. Engine control statements may be automatically changed in response to detecting a change in the configuration of the website. Images of product records may be correlated with one another by first comparing text of the product records and selecting images for comparison based on composition. Images are compared using a machine learning model. Images determined to be similar may be presented to a human for a correlation decision.

Abstract: As described herein, a system for expanding contractions in electronically stored text includes expanding contractions having only on expanded form. For remaining contractions, a grammar check is performed for all possible expanded forms to determine if an expanded form can be selected based on context and grammar rules. If an expanded form is not evident from the first two steps, all possible expanded forms of the remaining contractions are converted to a vector representation along with the original text. A Word Movers Distance (WMD) for each possible expansion is calculated using the vectors for each possible expansion and the original text. An expanded form is chosen without human intervention based on the grammar score alone or the WMD and the grammar score.

Abstract: The present invention provides a multilingual speech recognition and translation method for a conference. The conference includes at least one attendee, and the method includes: receiving, at a server, at least one piece of audio data and at least one piece of video data generated by at least one terminal apparatus; analyzing the video data to generate a video recognition result related to an attendance, and an ethnic of the attendee and a body movement, and a facial movement of the attendee when talking; generating at least one language family recognition result according to the video recognition result and the audio data, and obtaining a plurality of audio segments corresponding to the attendee; performing speech recognition on and translating the audio segments; and displaying a translation result on the terminal apparatus. The method further determines a quantity of conference attendees according to their respective distances from their device microphones.

Abstract: A method, system and product including: obtaining a graphical user interface (GUI) element of a GUI of the end device, wherein the GUI element is associated with a text string that is included in the GUI; transforming at least a portion of the text string according to a transformation function, thereby obtaining a fully or semi-transformed text string, wherein the semi-transformed text string comprises a transformed portion and a plaintext portion; providing to a server the fully or semi-transformed text string, whereby the server is enabled to perform string-based analysis without being exposed to a content of the text string.

Abstract: A method of and system of for compressing and decompressing a localized software resource is disclosed. The method may include receiving a software resource, the software resource being in a first language, receiving a localized software resource for compression, where the software resource in the first language is a counterpart of the localized software resource in the second language. Upon receiving the software resources creating a first local dictionary for the localized software resource based at least in part on one or more first language words in the software resource and on data from a global dictionary, and compressing the localized software resource based on the local dictionary.

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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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.