Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: A system and method for accent invariant speech recognition comprising: maintaining a database scoring a set of language units in a given language, and for each of the language units, scoring audio samples of pronunciation variations of the language unit pronounced by a plurality of speakers; extracting and storing m the database a feature vector for locating each of the audio samples in a feature space; identifying pronunciation variation distances, which are distances between locations of audio samples of the same language unit in the feature space, and inter-unit distances, which are distances between locations of audio samples of different language units in the feature space; calculating a transformation applicable on the feature space to reduce the pronunciation variation distances relative to the inter-unit distances; and based on the calculated transformation, training a processor to classify as a same language unit pronunciation variations of the same language unit.

Abstract: A public speaking trainer has a computer system including a display monitor. A microphone is coupled to the computer system. A video capture device is coupled to the computer system. A biometric device is coupled to the computer system. A simulated environment including a simulated audience member is rendered on the display monitor using the computer system. A presentation is recorded onto the computer system using the microphone and video capture device. A first feature of the presentation is extracted based on data from the microphone and video capture device while recording the presentation. A metric is calculated based on the first feature. The simulated audience member is animated in response to a change in the metric. A score is generated based on the metric. The score is displayed on the display monitor of the computer system after recording the presentation. A training video is suggested based on the score.

Abstract: Techniques for generating matchups of sale and coupon deals are described. For example, deal data that pertains to a sale deal and a coupon deal is received. A sale brand identification and a coupon brand identification are identified based on the deal data. A first set of deal data including the sale brand identification and corresponding to the sale deal, and a second set of deal data including the coupon brand identification and corresponding to a coupon deal are determined based on the deal data. A matchup of the sale deal and the coupon deal is generated based on matching the sale brand identification and the coupon brand identification, detecting a sale deal type in the first set of deal data and a coupon deal type in the second set of data, and determining that a sale deal's and a coupon deal's validity periods overlap and have not expired.

Abstract: A contextual analysis engine systematically extracts, analyzes and organizes digital content stored in an electronic file such as a webpage. Content can be extracted using a text extraction module which is capable of separating the content which is to be analyzed from less meaningful content such as format specifications and programming scripts. The resulting unstructured corpus of plain text can then be passed to a text analytics module capable of generating a structured categorization of topics included within the content. This structured categorization can be organized based on a content topic ontology which may have been previously defined or which may be developed in real-time. The systems disclosed herein optionally include an input/output interface capable of managing workflows of the text extraction module and the text analytics module, administering a cache of previously generated results, and interfacing with other applications that leverage the disclosed contextual analysis services.

Abstract: Conversation-based context rules for altering virtual reality (VR) gaming and for switching between input languages based on heuristics related to past conversations between users.

Abstract: A system for collecting elements as a basis for generating a social scenario useful to make a well-balanced good decision. A complex predicate template collecting apparatus includes: a simple predicate template DB storing simple predicate templates having positive or negative polarity values added; an object noun dictionary; a complex predicate template candidate extractor extracting complex predicate template candidates each formed of a combination of a word specified by the object noun dictionary and a simple predicate template, from a WEB archive; a sahen-noun polarity adder, a quantifier noun polarity adder and a trouble-noun polarity adder, determining polarity of a noun in each of the complex predicate template candidate; and a complex predicate template polarity calculator calculating polarity of a complex predicate template candidate by a combination of the polarity of the noun and the polarity of the simple predicate template included in the complex predicate template.

Abstract: In certain implementations, a system for facilitating voice commerce is provided. A user input comprising a natural language utterance related to a product or service to be purchased may be received. A first product or service that is to be purchased may be determined based on the utterance. First payment information that is to be used to purchase the first product or service may be obtained. First shipping information that is to be used to deliver the first product or service may be obtained. A purchase transaction for the first product or service may completed based on the first payment information and the first shipping information without further user input, after the receipt of utterance, that identifies a product or service type or a product or service, seller information, payment information, shipping information, or other information related to purchasing the first product or service.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes receiving first electronic information indicative of a sequence of words provided by a user and identifying, based on the first electronic information, a first word and a first natural language. The example method further includes receiving second electronic information indicative of an exogenous event and identifying, based on the second electronic information, the exogenous event. The example method further includes generating one or more natural language attribute data sets based on the identified first word, first language, and exogenous event. The example method further includes generating a natural language transliteration data set based on the one or more natural language attribute data sets.

Abstract: A method for electronically utilizing content in a communication between a customer and a customer representative is provided. An audible conversation between a customer and a service representative is captured. At least a portion of the audible conversation is converted into computer searchable data. The computer searchable data is analyzed during the audible conversation to identify relevant meta tags previously stored in a data repository or generated during the audible conversation. Each meta tag is associated with the customer. Each meta tag provides a contextual item determined from at least a portion of one of a current or previous conversation with the customer. A meta tag determined to be relevant to the current conversation between the service representative and the customer is displayed in real time to the service representative currently conversing with the customer.

Abstract: Systems and processes for exemplar-based natural language processing are provided. In one example process, a first text phrase can be received. It can be determined whether editing the first text phrase to match a second text phrase requires one or more of inserting, deleting, and substituting a word of the first text phrase. In response to determining that editing the first text phrase to match the second text phrase requires one or more of inserting, deleting, and substituting a word of the first text phrase, one or more of an insertion cost, a deletion cost, and a substitution cost can be determined. A semantic edit distance between the first text phrase and the second text phrase in a semantic space can be determined based on one or more of the insertion cost, the deletion cost, and the substitution cost.

Abstract: Systems for distributed graph data management that use graph structures to model data and respond to different types of queries. Systems that provide analytic tools and machine learning based on graph structures. Systems for distributed graph data management that provide packaged solutions for different application areas.

Abstract: A mechanism is disclosed for evaluating the quality of a machine translation system. Propositions are identified within a source language string and within a translation of the source language string generated by a machine translation system. The propositions can be identified using an automated mechanism or using human translators through the use of a human intelligence task site. Once the propositions have been identified, the propositions identified in the source language string can be compared to the propositions identified in the translated target language string. The results of the comparison can be utilized to compute a quality score for the translation. A final quality score can be generated for the machine translation system by repeating this process for multiple source language strings. The final quality score can then be utilized to improve the quality of models utilized by the machine translation system.

Abstract: A processing method includes acquiring first parallel text data which is a pair of a first text described in a first language and a first translation of the first text into a second language; evaluating whether the first parallel text data has a possibility of mistranslation on the basis of words included in the first text and the first translation; and outputting information based on the evaluation result. It is evaluated whether the first parallel text data has a possibility of mistranslation on the basis of results of (1) a first determination as to whether the first text includes either or both of a word with a first meaning and an antonym of the word and (2) a second determination as to whether the first translation includes either or both of a translation word with the first meaning and an antonym of the translation word.

Abstract: A system and method for improving accuracy of natural language processing using a plurality of speech recognition engines, a data fusion model to identify a correct result from the plurality of speech recognition engines and a semantic understanding model, separate and distinct from the speech recognition model, to process the correct results. A corpus is developed using the correct results and the corpus is used to train the data fusion model and the semantic understanding model.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for aiding user access to technical data for an item. In one embodiment a method is provided comprising providing a model of the item, wherein the model comprises a plurality of visual representations, each visual representation representing one or more components of the item; receiving input selecting at least one of the one or more visual representations; responsive to receiving input selecting the at least one of the one or more visual representations, identifying one or more topics associated with the selected visual representation; providing at least a portion of the one or more topics associated with the selected visual representation; receiving input selecting at least one of the one or more topics; and responsive to receiving input selecting a topic of the one or more topics, providing technical data associated with the topic.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a cognitive natural language processing system. The cognitive natural language processing (NLP) system analyzes a portion of natural language text to identify an attribute specified in the natural language text. The cognitive NLP system analyzes the portion of natural language text to determine whether a known negation trigger is present in the natural language text in association with the attribute. In response to determining that the natural language text does not contain a known negation trigger in association with the attribute, the cognitive NLP system determines whether the attribute is negated based on instances of the attribute in other natural language content similar to the natural language text.

Abstract: Mechanisms are provided to perform embedding of content of a natural language document. The mechanisms receive a document data object of an electronic document and analyze a structure of the electronic document to identify one or more structural document elements that have a relationship with the document data object. A dependency data structure is generated, representing the electronic document, where edges define relationships between document elements and at least one edge represents at least one relationship between the one or more structural document elements and the document data object. The mechanisms embed the document data object based on the at least one relationship to thereby represent the document data object as a vector data structure. The mechanisms perform natural language processing on the portion of natural language content based on the vector data structure. The one or more structural document elements are non-local non-contiguous with the document data object.

Abstract: Embodiments are directed to a computer-implemented method for ranking a proximity of data sources with one or more reference entities, which may be authoritative entities. The method comprises identifying several data sources and one or more reference entities. For each of the identified reference entities a vector of terms representative of said each of the reference entities is obtained. For each data source of the identified data sources, terms from said each data source are selected, an array comprising the selected terms can be accordingly populated, and a term frequency of terms of the vector obtained for said each of the reference entities is determined, in said array. The term frequency corresponds to the number of occurrences of said each of the terms in said array. The method ranks a proximity of the identified data sources with each of the one or more reference entities.

Abstract: An advertisement translation device is a device for translating an advertisement text displayed in a display area of a predetermined size in advertisement content, and displaying the translated advertisement text in the display area. The advertisement translation device includes: an advertisement text obtainment unit which obtains the advertisement text; a linguistic information obtainment unit which obtains linguistic information indicating a target language into which the advertisement text is to be translated; a translation unit which create translated text candidates by translating the advertisement text into the target language indicated by the linguistic information; and a selection unit which selects and outputs as a translated text, at least one of the translated text candidates a full text of which is displayable in a predetermined character size in the display area.

Abstract: The program directs a computer processor to resolve an anaphor in electronic natural language text. The program detects a plurality of entities and an anaphor in a span of parsed natural language text comprising one or more sentences, and extracts pairs of related entities based on domain knowledge. The program constructs a set of tuples, wherein each tuple is a data type comprising an anaphor, an antecedent entity (AE) appearing before the anaphor in the span of parsed natural language text, and an entity (E) appearing after the anaphor in the span of parsed natural language text, wherein the anaphor refers to the AE and relates the AE to the E. The program resolves the anaphor by determining which entity in the plurality of entities the anaphor references, using the constructed set of tuples, and selecting an AE among one or more candidate AEs.

Abstract: Mechanisms receive natural language content and analyze the natural language content to generate a parse tree data structure. The mechanisms process the parse tree data structure to identify one or more instances of candidate hypothetical spans in the natural language content. Hypothetical spans are terms or phrases indicative of a hypothetical statement. The mechanisms calculate, for each candidate hypothetical span, a confidence score value indicative of a confidence that the candidate hypothetical span is an actual hypothetical span based on a personalized hypothetical dictionary data structure associated with a source of the natural language content. The mechanisms perform an operation based on the natural language content.

Abstract: Examples of techniques for the real-time capture and translation of human thoughts and ideas into structured patterns are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include capturing, by a processing device, unstructured data. The method may also include extracting key terms from the unstructured data. Additionally, the method may include assigning an attribute to at least one of the key terms. The method may further include generating, by the processing device, a structured pattern based on the key terms and the attributes.

Abstract: A method includes hierarchically identifying occurrences of some of the words in the set of sentences; creating a first index for each of some of the words based on the upper hierarchy of occurrences identified for each word; receiving input of a queried word; hierarchically identifying occurrences of the queried word in the set of sentences; creating a second index based on the upper hierarchy of occurrences identified for the queried word; comparing the first index and the second index to calculate an estimated value for the number of occurrences of a word in the neighborhood of the queried word; and calculating the actual value of the number of occurrences of a word in the neighborhood of the queried word based on an upper hierarchy and lower hierarchy of the occurrences on condition that the estimated value is equal to or greater than a predetermined number.

Abstract: The present disclosure contemplates a variety of improved methods and systems for enabling set up of a variety of disparate IoT devices coupled to the framework and/or ambient operating system of an assistant device. The described solution includes a voice-driven assistant device setup process. An assistant device can determine the IoT devices in its physical environment and provide setup instructions to the user. The setup including determining voice activatable commands, device information and the adapter to allow the assistant device to operate the one or more IoT devices in response to user instructions.

Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores translation data and instructions executed by the processor. The instructions executed by the processor operate a neural machine translation system. A translation hypothesis is formed from a prefix of a target sentence comprising an initial sequence of target words supplied by a user through an interface. The hypothesis is generated by the neural machine translation system that performs a constrained prefix decoding that repeatedly predicts a next word from previous target words. A suffix of the target sentence comprising a final sequence of words corresponding to a final sequence of words in the source sentence is formed using a beam search that constrains translation to match the prefix.

Abstract: The present teaching relates to automatic formality classification and transformation of online text items. In one example, a request is received for transforming a formality level of a text item in an online communication. A current formality level of the text item is obtained. The current formality level represents a current degree of formality of the text item. A target formality level is determined for the text item based on the request. The target formality level represents a targeted degree of formality for the text item. The text item having the current formality level is transformed to a transformed text item having the target formality level. The transformed text item has a same literal meaning as the text item. The transformed text item is provided as a response to the request.

Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, can aggregate content from one or more electronic publication documents. In one aspect, a method includes obtaining information including an index to content items of an electronic publication including a discrete package of received data that is stored locally, the content items being less than all content in the electronic publication received; retrieving, by a computer based on one or more criteria, two or more of the content items provided in disparate portions of the electronic publication, including the discrete package of received data, using the index; and presenting the two or more of the content items together on an output device in a user interface format different from that of the electronic publication.

Abstract: Systems and methods are disclosed for extracting structured relation information from Chinese clinical notes. Structured relation information in the form of entity-feature-value (EFV) triples is disclosed. The EFV triples may be used for advanced data abstraction. An ontology-driven method for data extraction is disclosed. The ontology-driven method may include lexical and syntactic analysis followed by semantic analysis to generate the EFV triples.

Abstract: A system and method for monitoring conversations of a community of users to identify topics of interest is provided. A user community which is based partly on social networking connections relative to a first user is identified. Conversations involving at least one member of the identified user community are monitored. Based in part on an aggregated analysis of the monitored conversations, keywords are selected to present to the first user. The first user is then provided with a display in which the selected keywords associated with the user community are presented to the first user such that the first user can select a keyword to access content associated therewith.

Abstract: A computer-implemented method for automatically generating passwords that comply with password restrictions may include (1) maintaining a database that stores password criteria for a plurality of websites, (2) determining that a user is accessing a website that requests creation of a password, (3) determining a set of password complexity rules for the website by querying the database that stores the password criteria, (4) using the set of password complexity rules to automatically generate the password for the website such that the password complies with the password criteria for the website, and (5) providing the password for use in the website that requested creation of the password. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A display apparatus includes an input interface that receives a user input for selecting a channel, a tuner that receives a broadcast signal corresponding to the channel, a display that displays a content included in the broadcast signal, a storage configured to store channel information obtained from the broadcast signal, a communicator configured to communicate with an external apparatus, and a controller that selects a channel based on the user input, displays content corresponding to the changed channel on the display, acquires a channel number, a source ID and a channel name with respect to the channel, and transmits the channel number, the source ID and the channel name to a server.

Abstract: A method and apparatus for training a neural network language model, and a method and apparatus for recognizing speech data based on a trained language model are provided. The method of training a language model involves converting, using a processor, training data into error-containing training data, and training a neural network language model using the error-containing training data.

Abstract: A system for performing semantic search receives an electronic text corpus and separates the text corpus into a plurality of sentences. The system parses and converts each sentence into a sentence tree. The system receives a search query and matches the search query with one or more of the sentence trees.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: An auction apparatus according to the application includes a plan receiving unit and an auction providing unit. The plan receiving unit receives plan information indicating a plan of content from a content creator who creates the content. The auction providing unit presents the plan information received by the plan receiving unit and provides an auction service in which bid targets are a right to display an advertisement in an advertising space that is set to the content and a right to replace the advertisement displayed in the advertising space.

Abstract: In one implementation, a computer-implemented method for providing a graphical user interface (GUI) that teaches correct placement of accent marks on Spanish language words through a particular sequence of graphical elements includes receiving, through a GUI presented by a computing device, a selection of a graphical word element corresponding to a word to test as part of a Spanish language teaching program; identifying, by the computing device, a particular word set that corresponds to the word from among a plurality of word sets; and outputting, in the GUI presented by the computing device and based on the particular word set, a first graphical prompt element for the user to identify whether the word has a particular ending characteristic that corresponds to the particular word set.

Abstract: According to an embodiment, a tagging support apparatus includes a first acquirer, an estimator, a first storage, a second acquirer, and a presenter. The first acquirer acquires a spoken sentence concerning an utterance of a user. The estimator estimates an utterance intention of the spoken sentence to obtain one or more intention candidates of the utterance intention. The first storage stores an intention system having a hierarchical structure of intentions used in a dialog system. The second acquirer acquires, based on the intention candidates, part of the intention system as one or more hierarchical intention candidates. The presenter presents the hierarchical intention candidates.

Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.

Abstract: Systems and methods of natural language processing in an environment with no existing corpus are disclosed. The method includes defining an input grammar specific to a chosen domain, the input grammar having a domain specific knowledge and general grammatical knowledge. Groups of tokens are identified within the input grammar having syntactic and semantic equivalence. The identified groups are assembled into hypernyms, wherein the hypernyms include a semantic output for each token in the hypernyms. A list of fields is then combined with the hypernyms for combination with the hypernyms. A corpus of possible combinations of hypernyms and fields is created. A data structure mapping each possible combination to a partial semantic output is generated and the data structure is saved for use in later processing.

Abstract: A system, and computer program product for adapting tabular data for narration are provided in the illustrative embodiments. A set of categories used to organize data is identified in a first tabular portion of a document. A structure of the categories is analyzed. An inference is drawn about data in a first cell in the first tabular portion based on a position of the first cell in the structure. The first tabular portion of the document is transformed into a first narrative form using the inference.

Abstract: This disclosure describes a distributed reader architecture for a mobile computing device such as cellular telephone handset.

Abstract: Aspects of the present disclosure include a system comprising a machine-readable storage medium storing at least one program and computer-implemented methods for detecting a language of a text string. Consistent with some embodiments, the method may include applying multiple language identification models to a text string. Each language identification model provides a predicted language of the text string and a confidence score associated with the predicted language. The method may further include weighting each associated confidence score based on historical performance of the corresponding language identification model in predicting languages of other text strings. The method may further include selecting a predicted language of the text string from among the multiple predicted languages provided by the multiple language identification models based on a result of the weighting of the confidence score associated with the particular predicted language.

Abstract: An encryption platform may identify language characters in database fields and determine which of multiple encoding schemes more efficiently encodes the language characters. The encryption platform may use the selected encoding scheme to encode plaintext into a byte array and then encrypt the byte array into ciphertext. The encryption platform may assign encoding flags to the ciphertext identifying the encoding scheme used for encoding the plaintext. The encryption platform then may use the encoding flag to determine which encoding schemes to use for decoding the data back into plaintext. Using the different encoding schemes allows encrypted data to fit better into database storage structures. The encryption platform also may enable users to select different fields for different selectable objects for encoding and encrypting.

Abstract: An approach is provided for classifying natural language input into plurality of query processing levels. The approach involves parsing at least one natural language input into one or more words, wherein the at least one natural language input represents at least one cartographic query. The approach also involves mapping the one or more words to at least one function of a cartography system. The approach further involves determining an availability of the at least one function, one or more parameters associated with the at least one function, or a combination thereof with respect to at least one component of the cartography system. The approach also involves classifying the at least one cartographic query into at least one of a plurality of query processing levels based, at least in part, on the availability.

Abstract: Disclosed is a method of provisioning electronic forms based on natural language. The method includes receiving, using a communication device, a natural language input from a builder device, wherein the natural language input represents one or both of a requested data and a presented data associated with a legal process. Further, the method includes analyzing, using a processing device, the natural language input. Yet further, the method includes generating, using the processing device, an electronic form based on the analyzing of the natural language input, wherein the electronic form comprises an input field configured to receive the requested data and an output field configured to present the presented data. Moreover, the method includes storing, using a storage device, the electronic form. Furthermore, the method includes transmitting, using the communication device, the electronic form to one or more user devices.

Abstract: A relay apparatus includes a characteristic information storage unit, a first dictionary information storage unit, a first selection unit, and a first conversion unit. The characteristic information storage unit stores pieces of terminal information in association with respective pieces of characteristic information, each indicating a characteristic of a user. The first dictionary information storage unit stores the pieces of characteristic information in association with respective pieces of first dictionary information used for converting voice data into text data. The first selection unit selects, when voice data is received from a second communication terminal to communicate with a first communication terminal, the characteristic information associated with the terminal information for identifying the second communication terminal and selects the first dictionary information associated with the selected characteristic information.

Abstract: Implementations herein relate to methods and devices for generating candidate translations and for quantizing text as well as words. A method may include generating, by a computing device, pending candidate translations of text to be translated based on predetermined translation rules. The computing device may generate translation probabilities from the text to be translated to the pending candidate translations based on features having impacts on translation probabilities of the pending candidate translations and a predetermined translation probability prediction model. The computing device may then select a predetermined number of pending candidate translations that have the translation probabilities higher than other pending candidate translations in the pending candidate translations to be the candidate translations of the text to be translated.

Abstract: Examples of the present disclosure describe processing by an input understanding system/service. A received input is processed to generate a set of alternatives for recognizing the received input. The set of alternatives is filtered. Filtering comprises ranking the set of alternatives and propagating a plurality of the ranked alternatives for additional processing. The propagated alternatives are processed to generate an expanded set of alternatives for potential hypotheses based on the received input. The expanded set of alternatives is filtered. Filtering comprises ranking alternatives of the expanded set and propagating a plurality of the ranked alternatives of the expanded set for additional processing. The propagated alternatives of the expanded set are evaluated based on application of knowledge data fetched from external resources. A response to the received input is generated.