Abstract: An information processing system comprises at least one memory and at least one processor. The at least one processor is configured to receive a request of a user; determine whether or not to permit processing of the request based on a term of use of the user; and execute the processing using a neural network based on the request whose processing is determined as being permitted. The term of use includes a condition related to a structure of a processing target of the neural network.

Abstract: A technique for estimating phonemes for a word written in a different language is disclosed. A sequence of graphemes of a given word in a source language is received. The sequence of the graphemes in the source language is converted into a sequence of phonemes in the source language. One or more sequences of phonemes in a target language are generated from the sequence of the phonemes in the source language by using a neural network model. One sequence of phonemes in the target language is determined for the given word. Also, technique for estimating graphemes of a word from phonemes in a different language is disclosed.

Abstract: A technique for estimating phonemes for a word written in a different language is disclosed. A sequence of graphemes of a given word in a source language is received. The sequence of the graphemes in the source language is converted into a sequence of phonemes in the source language. One or more sequences of phonemes in a target language are generated from the sequence of the phonemes in the source language by using a neural network model. One sequence of phonemes in the target language is determined for the given word. Also, technique for estimating graphemes of a word from phonemes in a different language is disclosed.

Abstract: A method and system are provided for performing a security inspection of a set of virtual images. The method includes merging the virtual images into a tree structure having a root and a plurality of leaves such that child leaves and a parent leaf to the child leaves have common ones of the virtual images. The method further includes applying a bisection method against a path in the tree from the root to a given one of the plurality of leaves having a given one of the virtual images in which a security violation has been identified to find a particular one of the virtual images that is a root cause of the security violation. The method also includes performing a corrective action for any of the plurality of images having the security violation.

Abstract: A data augmentation apparatus includes a memory and processing circuitry coupled to the memory. The processing circuitry is configured to input a first data set including first image data and first text data related to the first image data, perform first image processing on the first image data to obtain second image data, edit the first text data based on contents of the first image processing to obtain the edited first text data as second text data, and output an augmented data set including the second image data and the second text data.

Abstract: A technique for estimating phonemes for a word written in a different language is disclosed. A sequence of graphemes of a given word in a source language is received. The sequence of the graphemes in the source language is converted into a sequence of phonemes in the source language. One or more sequences of phonemes in a target language are generated from the sequence of the phonemes in the source language by using a neural network model. One sequence of phonemes in the target language is determined for the given word. Also, technique for estimating graphemes of a word from phonemes in a different language is disclosed.

Abstract: A technique for estimating phonemes for a word written in a different language is disclosed. A sequence of graphemes of a given word in a source language is received. The sequence of the graphemes in the source language is converted into a sequence of phonemes in the source language. One or more sequences of phonemes in a target language are generated from the sequence of the phonemes in the source language by using a neural network model. One sequence of phonemes in the target language is determined for the given word. Also, technique for estimating graphemes of a word from phonemes in a different language is disclosed.

Abstract: A method and system are provided for performing a security inspection of a set of virtual images. The method includes merging the virtual images into a tree structure having a root and a plurality of leaves such that child leaves and a parent leaf to the child leaves have common ones of the virtual images. The method further includes applying a bisection method against a path in the tree from the root to a given one of the plurality of leaves having a given one of the virtual images in which a security violation has been identified to find a particular one of the virtual images that is a root cause of the security violation. The method also includes performing a corrective action for any of the plurality of images having the security violation.

Abstract: A method and system are provided for performing a security inspection of a set of virtual images in a cloud infrastructure. The method includes merging the virtual images into a tree structure having a root and a plurality of leaves such that child leaves and a parent leaf to the child leaves have common ones of the virtual images. The method further includes identifying a security violation in a given one of the virtual images at a given one of the plurality of leaves. The method also includes applying a bisection method against a path in the tree from the root to the given one of the plurality of leaves to find a particular one of the virtual images that is a root cause of the security violation. The method additionally includes performing a corrective action for any of the plurality of images having the security violation.

Abstract: A method and system are provided for performing a security inspection of a set of virtual images in a cloud infrastructure. The method includes merging the virtual images into a tree structure having a root and a plurality of leaves such that child leaves and a parent leaf to the child leaves have common ones of the virtual images. The method further includes identifying a security violation in a given one of the virtual images at a given one of the plurality of leaves. The method also includes applying a bisection method against a path in the tree from the root to the given one of the plurality of leaves to find a particular one of the virtual images that is a root cause of the security violation. The method additionally includes performing a corrective action for any of the plurality of images having the security violation.

Abstract: A method, article of manufacture, and system for enabling context surrounding a search result to be displayed succinctly. The method includes searching a document set configured as a frequency ordered suffix tree to obtain a frequency ordered context tree. Applying dynamic programming to the frequency ordered context tree to retrieve a set (C) of context strings (c) having n1 elements of context strings (c). Defining an area covered by a character string (s) in the entire set of context strings C {c1, . . . , cn1} as the product of (1) the number (n2) of context strings (c) having s as a prefix and (2) the length of character string (s). Obtaining a set of character strings (S) that maximizes the sum of areas. In addition, dynamic programming can include a pruning process such that if an upper limit does not reach a maximum value, the search in progress is abandoned.

Abstract: An apparatus and method for calculating a score of matching a sentence with a query pattern having a dependency structure. The apparatus includes: an input unit acquiring an analysis target sentence, a query pattern and an index value indexing how a linguistic unit in the sentence tends to modify another; and a score calculation unit calculating a matching score indexing the degree of matching of the sentence with the query pattern. The matching score is represented by a function having an index value with which a dependency relation included in the query pattern is associated. The score is calculated by attempting association between a substructure of the query pattern and a range in the sentence and by performing recursive calculation in the substructure and the range while storing partial calculation result of the function in a memory area for reuse.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: An information processing method for defining a data structure for pattern matching, the method executed by an information processing apparatus, comprises generating, by the apparatus, an ordered tree structure by defining transition edges between nodes using, as transition conditions, respective constraints from one or more constraint patterns each including plural constraints; searching, by the apparatus, for a second substructure similar to a first substructure from a root node by determining a set relation between transition conditions of respective transition edges; and defining, by the apparatus, an additional transition link from a tail node of the second substructure to a child node at a tail end of the first substructure, the additional transition link adding a constraint to be met by an indeterminant identified from the set relation.

Abstract: Location estimation systems, methods, and non-transitory computer program products. The system includes: storage means provided in the computer, means for storing the vector datasets in the storage means of the computer, means for calculating the similarity between the vector dataset without any location label and each neighboring vector dataset with a location label, by using any one of a q-norm where 0?q?1 and an exponential attenuation function, and means for estimating the location label of the vector data without any location label from the calculated similarities.

Abstract: An information processing apparatus according to the present invention comprises a generation section configured to generate an ordered tree structure by defining transition edges between nodes using, as transition conditions, respective constraints from one or more constraint pattern each including plural constraints, a search section configured to search for a second substructure K similar to a first substructure P from a root node by determining a set relation between transition conditions of respective transition edges, and a transition defining section configured to define an additional transition link from a tail node sKn of the second substructure K to a child node sPn+1 of the first substructure P, the additional transition link adding a constraint to be met by an indeterminant identified from the set relation, wherein a data structure for pattern matching is defined.

Abstract: An apparatus and method for calculating a score of matching a sentence with a query pattern having a dependency structure. The apparatus includes: an input unit acquiring an analysis target sentence, a query pattern and an index value indexing how a linguistic unit in the sentence tends to modify another; and a score calculation unit calculating a matching score indexing the degree of matching of the sentence with the query pattern. The matching score is represented by a function having an index value with which a dependency relation included in the query pattern is associated. The score is calculated by attempting association between a substructure of the query pattern and a range in the sentence and by performing recursive calculation in the substructure and the range while storing partial calculation result of the function in a memory area for reuse.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.

Abstract: A computer implemented method, system, and product for finding correspondence between terms in two different languages. The method includes the steps of: creating a technical term set and a general term set for each of i) a first language and ii) a second language, creating two bipartite graphs, where each graph corresponds to one of the two languages, and connects the technical term set and general term set of each language, respectively, with weighted links based on corpus information, creating a third bipartite graph by creating weighted links between general terms in the first language and general terms in the second language by using a translation dictionary, creating an association matrix M corresponding to the three bipartite graphs, calculating a similarity matrix Q by calculation of an inverse matrix, and outputting correspondence between the technical term sets of the first and second language on basis of the similarity matrix.