Abstract: A non-transitory computer-readable recording medium stores an information searching program causing a computer to execute processing of: in an information search using a trained machine learning model generated by machine learning using training data in a first language, when a search condition is in the first language, translating the search condition to a second language different from the first language; re-translating the search condition translated to the second language to the first language; and performing the information search by inputting the search condition re-translated to the first language to the machine learning model; and when the search condition is in a language different from the first language, translating the search condition to the first language, and performing the information search by inputting the search condition translated to the first language to the machine learning model.

Abstract: Techniques are disclosed for systems including techniques for multi-feature balancing for natural langue processors. In an embodiment, a method includes receiving a natural language query to be processed by a machine learning model, the machine learning model utilizing a dataset of natural language phrases for processing natural language queries, determining, based on the machine learning model and the natural language query, a feature dropout value, generating, and based on the natural language query, one or more contextual features and one or more expressional features that may be input to the machine learning model, modifying at least one or the one or more contextual features and the one or more expressional features based on the feature dropout value to generate a set of input features for the machine learning model, and processing the set of input features to cause generating an output dataset for corresponding to the natural language query.

Abstract: The present disclosure relates to a difficult airway evaluation method and device based on a machine learning voice technology. The method includes the following steps: acquiring voice data of a patient; carrying out feature extraction on the voice data, obtaining a pitch period of pronunciations, and acquiring a voiced sound feature and unvoiced sound features based on the pitch period of pronunciations; and constructing a difficult airway evaluation classifier based on the machine learning voice technology, analyzing the received voiced sound feature and unvoiced sound features by the trained difficult airway evaluation classifier, and carrying out scoring on the severity of a difficult airway to obtain an evaluation result of the difficult airway.

Abstract: According to one embodiment, a difference extraction device includes processing circuitry. The processing circuitry acquires a text in which an input notation string is described. The processing circuitry converts the input notation string into a pronunciation string. The processing circuitry executes a pronunciation string conversion process in which the pronunciation string is converted into an output notation string. The processing circuitry extracts a difference by comparing the input notation string and the output notation string with each other.

Abstract: A method for subword segmentation includes receiving an input word to be segmented into a plurality of subword units. The method also includes executing a subword segmentation routine to segment the input word into a plurality of subword units by accessing a trained vocabulary set of subword units and selecting the plurality of subword units from the input word by greedily finding a longest subword unit from the input word that is present in the trained vocabulary set until an end of the input word is reached.

Abstract: A cordless telephone apparatus has a base station connected to a public telephone network and assigned with a specific identification code and one or more personal stations linked to the base station through the medium of radio frequencies. The base station has one or more additional functions in addition to the speech function. The personal station can perform radio communications with the base station within a range in which radio waves from the base station is receivable and can perform radio communications with a cell station connected to a public telephone network outside the radio wave receivable range. The personal station has a remote-control instruction unit for instructing operation of the additional function of the base station.

Abstract: Each base station transmits a signal including its own identification code. A cordless phone generates a plurality of pair information corresponding an identification code to a detected reception level based on a signal from each base station, selects pair information having largest reception level from among said plurality of pair information, and estimates a base station base on the pair information corresponding to the selected reception level. The cordless phone comprises a display section for displaying an estimated base station.

Abstract: The invention provides a modular base station for use in a plurality of telecommunications systems where the systems operate according to different standards. The base station comprises a chassis having means for removably mounting system components to allow system components to be removed and replaced for operation in telecommunications systems operating according to varying standards. In a two system embodiment of the invention, logic circuitry and RF circuitry for each of the two systems is mounted in four PCMCIA slots. The base station can be used in either of the two systems depending on which systems control signals are received. When it is desired to use the base station in a third system that operates according to a third standard, the logic and RF circuitry of one of the systems can be replaced with circuitry capable of operation in the third system.