Abstract: A speech signal processing method of a user terminal includes: receiving a speech signal, detecting a personalized information section including personal information in the speech signal, performing data processing on the personalized information section of the speech signal by using a personalized model generated based on the personal information, and receiving, from a server, a result of the data processing performed by the server on a general information section of the speech signal that is different than the personalized information section of the speech signal.

Abstract: A method, system and apparatus for implementation and use of voice activated laboratory environments (VALET) are disclosed. According to one aspect, a VALET controls a first instrument in a first location, and has, in acoustic proximity to the first location, an audio interface configured to receive voice commands, to enunciate responses to the voice commands, and to transmit a first signal responsive to a first voice command to an intermediary location. The VALET also includes a computer configured to receive a computer instruction from the intermediary location, the computer instruction configuring the computer to select and issue an instrument command to cause the first instrument to effectuate the voice command.

Abstract: Converting text-based requirements to a live prototype includes receiving text with a natural language string. The text includes a term for a component from a design language system and the natural language string describes at least a part of an interface. The method further includes generating, by a converter module, an output string from the text by: tokenizing the text to form a plurality of tokens that include a token for the term, tagging the token with a tag for the term, and applying a rule that uses the token and the tag. Applying the rule maps the token to the component of the design language system and writes the component into the output string. The method further includes generating the interface from the output string. The interface is made with the design language system and includes the component from the output string. The interface is presented with the component to a device.

Abstract: A meeting summarization method, system, and computer program product, include capturing notes of a user including a time stamp from the user associated with a meeting, synchronizing an agenda of the meeting and the notes of the user based on a correlation between a time stamp of a topic on the agenda and a time stamp of the notes of the user, and analyzing the synchronized topic and the notes to determine highlights of the meeting based on a co-occurrence of the time stamp of the notes of the user and the time stamp of the topic on the agenda.

Abstract: The present invention is a translation support system for supporting machine translation from a source-language sentence into a target-language sentence, the translation support system including an input unit that accepts an input of a source-language sentence to be translated; an error database that at least stores words or combinations of words included in a plurality of source-language sentences for which machine translation from the source-language sentences into target-language sentences is not performed correctly; a controlled-source-language-sentence database that stores a plurality of source-language sentences as well as controlled source-language sentences, which are source-language sentences that are controlled, corresponding to the plurality of source-language sentences and expressed in a format satisfying predetermined conditions; a control unit that classifies whether or not the input source-language sentence is machine-translatable; and an output unit that is capable of outputting the input sour

Abstract: A method for matching character strings to a reference character string is disclosed. One or more processors receive a plurality of character strings. The one or more processors match each of the plurality of character strings to a main reference character string and registers a match to positions on the main reference character string that satisfy a pre-set match criteria. The one or more processors match each of the plurality of character strings to an alternate reference character string and registers a match to positions on the alternate reference character string that satisfy the pre-set match criteria. The alternate reference character string is derived from the main character string. The one or more processors identifies a match for each of the plurality of character strings that match to either a position on the main reference character string or the alternate reference character string.

Abstract: The present invention relates to a brain-computer interface system and a method for recognizing a conversation intention of a user using the same in addition to inferring the waveform of word sound intended by a user from an imagined speech brainwave associated with a word intended by a user, since the user can intuitively recognize the sentence he/she wants to speak through the imagined speech by classifying words that are most relevant to the imagined speech brainwave of the user in a database in which a word often used by the user or frequently used in a specific situation is stored and by generating a sentence intended by the user by recognizing the words classified in this way, it is possible to perform communication by only thoughts of the user.

Abstract: Identifying private information and preventing privacy violations is provided by a process that evaluates digital information obtained by an organization as part of a digital information stream from a user. The evaluating identifies a user utterance, including keyword(s), entity/ies, and intent(s), and applies natural language understanding to the digital information to ascertain a contextual understanding for the user utterance. The process selects training set(s) of historical information from available training sets that includes vocabulary used in varying contexts. The process compares the identified user utterance to an ontology based on the selected training set(s), and determines a confidence level that the digital information includes digital private information. The process also flags for the organization an action to take with respect to handling of the digital information. The flagging is based on the determined confidence level that the digital information includes digital private information.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes storing translator linguistic resources for a personal account and project linguistic resources for a corporate account. The method includes creating a private profile for the personal account in response to the personal account being added to a team for the corporate account or being assigned to a translation project for the corporate account. A graphical user interface provides access to the translator linguistic resources within the translation project for the private profile without providing access to the translator linguistic resources within the translation project for the corporate account. The graphical user interface provides translation suggestions from the project linguistic resources within the translation project for the private profile without providing full access to the project linguistic resources within the translation project for the private profile.

Abstract: The present document relates to a method of layered encoding of a compressed sound representation of a sound or sound field. The compressed sound representation comprises a basic compressed sound representation comprising a plurality of components, basic side information for decoding the basic compressed sound representation to a basic reconstructed sound representation of the sound or sound field, and enhancement side information including parameters for improving the basic reconstructed sound representation.

Abstract: A method, for preventing the intelligible voice recording is provided. The voice of a subject or interlocutor is recorded for a given time interval thereby providing a voice recording. The voice recording is cut into shorter time interval segments thereby providing a set of voice recording segments. The set of voice recording segments is mixed in a randomly rearranged order. The mixed set of voice recording segments is spliced into a single randomly mixed voice recording. Emitting the randomly mixed voice recording during speaking of the subject or interlocutor prevents the intelligible recording of the voice of the subject or interlocutor.

Abstract: A document may be received. An ontology associated with a domain may be identified or retrieved. A set of concepts in the document may be extracted, the set represented in the ontology. A set of concepts selected from the ontology may be received. A search may be performed based on the set of selected concepts.

Abstract: Embodiments are provided for intelligent augmentation of word representations in a computing system by a processor. One or more character shape embeddings may be created in an artificial neural network (ANN) by augmenting one or more word representations based on a set of natural language processing (NLP) data, a set of word embedding vectors, and one or more clustering operations. A shape, a category, and a contextual identify of the one or more word representations may be analyzed used in creating the one or more character shape embeddings.

Abstract: The disclosure provides a method, a device and a storage medium for predicting a punctuation in a text. The method includes: inputting a text to be predicted into a sequence tagging model to obtain at least one prediction result and a corresponding first score of each character in the text to be predicted; generating a text to be inputted corresponding to each of the at least one prediction result; obtaining a second score corresponding to each of the at least one prediction result; determining a punctuation existence situation of the corresponding character based on the first score and the second score corresponding to each of the at least one prediction result; and performing punctuation processing on the text to be predicted based on the punctuation existence situation of each character in the text to be predicted to obtain a punctuated text corresponding to the text to be predicted.

Abstract: A management device is connected to an apparatus and configured to manage the apparatus. The management device includes a multi-language display processing unit configured to, when an input unit receives a change request to change a language of messages to be displayed on a display unit, transmit standard language data to a translation device, and a translated data reception unit configured to acquire translated data translated into a language corresponding to a language environment of a mobile terminal on the translation device with reference to the standard language data. The multi-language display processing unit is configured to change a language of messages to be displayed on the display unit from a default language to a language corresponding to the language environment of the mobile terminal by using the translated data.

Abstract: A media item, for example an electronic book (eBook), may be presented via an electronic device during a time period. A user of the electronic device may read a portion of the media item but end their reading session prior to finishing the entire media item. Data associated with a media item and consumption of the media item by the user may be gathered. When the media item is presented via the electronic device during a subsequent time period, a customized synopsis of the media item or a portion of the media item may be presented via the electronic device.

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 sequence processing method and apparatus are provided. The sequence processing method includes determining a word of a first R-node corresponding to a root node based on an input sequence, generating first I-nodes that are connected to the first R-node and include relative position information with respect to the word of the first R-node, determining a word of a second R-node to correspond to each of the first I-nodes, and determining an output sequence corresponding to the input sequence based on the determined words.

Abstract: A sentence evaluation apparatus evaluates a sentence which is input. The sentence evaluation apparatus includes an acquisition device and a processor. The acquisition device acquires information indicating a first input sentence and information indicating a second input sentence. The processor executes information processing on the information acquired by the acquisition device, using an algorithm based on machine learning. The processor includes a first encoder that recognizes the first input sentence and a second encoder that recognizes the second input sentence, in the algorithm based on the machine learning. The processor generates evaluation information indicating evaluation on the first input sentence with reference to the second input sentence, based on a result of recognition by the first encoder on the first input sentence and a result of recognition by the second encoder on the second input sentence.

Abstract: Methods and systems for classifying a multimedia file using interclass data is disclosed. One of the methods includes receiving, from a first transcription engine, one or more transcription results of one or more audio segments of the multimedia file; identifying a first transcription result for a first audio segment having a low confidence of accuracy; identifying a first image data of the multimedia file corresponding to the first segment; receiving, from an image classification engine trained to classify image data, an image classification result of one or more portions of the first image data in response to requesting the image classification engine to classify the first image data; and selecting, based at least on the image classification result of the one or more portions of the first image data, a second transcription engine to re-classify the first audio segment.