Abstract: An index creation device reads target text data therein and creates a bitmap index in which, with regard to each of a character or a word and a tag that appear in the target text data, an appearance position of each of the character or the word and the tag in text data is represented as bitmap data.

Abstract: An information processing device receives a specification of a word, and specifies an appearance position associated with the specified word by referring to information in which appearance positions in text data of respective words included in the text data are associated with each of the words. The information processing device specifies an attribute associated with the specified appearance position by referring to information in which attributes at respective appearance positions in the text data of respective words included in the text data are associated with the appearance positions.

Abstract: A non-transitory computer-readable recording medium stores therein an output control program that causes a computer to execute a process including: receiving a phoneme string for a text having a plurality of sentences; determining a sentence corresponding to a specific phoneme or a phoneme string included in the received phoneme string; referring to a storage that stores therein co-occurrence information on sentences for words in association with the words and determining a word the co-occurrence information on the determined sentence of which satisfies a standard among the words; changing the specific phoneme or the phoneme string included in the received phoneme string to the determined word to generate a text corresponding to the received phoneme string; and outputting the generated text.

Abstract: An index generation device 100 generates key presence information for a plurality of input files when lexical analysis on the plurality of input files are executed, the key presence information including information whether each of a plurality of keys is present in the plurality of input files and presence positions of the respective plurality of keys when the respective plurality of keys are present in the plurality of input files. The index generation device 100 generates index information about the keys and the positions for the plurality of input files based on the key presence information.

Abstract: A method for generating a file includes: executing a reception process that includes receiving text information; executing a first generation process that includes detecting a phrase that is included in the received text information and is of a specific type, generating encoded information by encoding the phrase of the specific type, and generating a first dictionary in which the encoded information is associated with the phrase of the specific type before the encoding; and executing a second generation process that includes generating a first file including a first region and multiple second regions, the first region being configured to store the encoded information, wherein a third region corresponding to the specific type among the second regions is configured to store encrypted dictionary information obtained by encrypting the first dictionary.

Abstract: A non-transitory computer readable medium storing a program that causes a computer to execute a process, the process including obtaining text data, generating first index information indicating appearance positions in the text data for each of a plurality of characters or words obtained based on lexical analysis of the text data, generating second index information, the second index information being index information in which the appearance positions in the text data are aggregated for each character or word, specifying a data range in the first index information, to be referred in a pattern match search by using the second index information, and performing encoding for the text data based on the pattern match search by using the data range in the first index information.

Abstract: A method includes: generating first vector data by vector-converting first sentence data from a user input; specifying plural pieces of second sentence data from among a plurality of second sentence data stored in a storage device, each second sentence data including a plurality of vector data, each of the plural pieces of second sentence data including vector data corresponding to the first vector data; and determining data to be output in connection with the first sentence data by using a degree of similarity between second and third vector data, the second vector data being each of vector data other than the first vector data in certain data included in the specified plural pieces of second sentence data, the third vector data being each of vector data other than the first vector data in data other than the certain data included in the specified plural pieces of second sentence data.

Abstract: An information processing apparatus (100) refers to a storage unit that stores information in which a single attribute is assigned to plural words, an occurrence rate of which is lower than a criterion, and identifies first and second vector information of an attribute with which a word extracted from first and second text information is associated. The information processing apparatus (100) generates a conversion model by performing training of parameters of the conversion model such that vector information output when the first vector information is input to the conversion model approaches the second vector information.

Abstract: An identification method includes obtaining reference codon sequence data and analysis-target codon sequence data, comparing codons included in the obtained reference codon sequence data and codons included in the obtained analysis-target codon sequence data, at each sequence position of codon, identifying that, based on result of the comparing, includes identifying, from among codons included in the analysis-target codon sequence data, codon positioned at each of a plurality of sequence positions subsequent to sequence position at which codons are nonidentical, and identifying that includes referring to a memory unit configured to store type of mutation, which has occurred at a particular codon included in particular codon sequence data, in a corresponding manner to codon positioned at each of a plurality of sequence positions subsequent to the particular codon, and identifying type of mutation associated to codon positioned at each of the plurality of identified sequence positions, by a processor.

Abstract: The information processing device receives question information, converts words contained in the received question information into word vectors including a plurality of element values respectively associated with a plurality of elements. The information processing device refers to the memory that stores, in association with the elements, specific information specifying the strength of specific meanings contained within the element values associated with the elements and acquires, using the specific information, a plurality of semantic information items indicating the strength of the specific meanings respectively contained within the plurality of element values included in the word vectors. The information processing device performs an evaluation relating to the received question information on the basis of the acquired plurality of semantic information items.

Abstract: An information processing apparatus (100) extracts a plurality of words included in text information. The information processing apparatus (100) refers to a storage unit that stores therein, for each of word meanings of the words, co-occurrence information on another word with respect to the words and specifies, from among the plurality of extracted words, a word meaning of the one of the words each including the plurality of word meanings based on the co-occurrence information on the other word with respect to the one of the words. The information processing apparatus (100) generates word meaning postscript text information that includes the one of the words and a character that identifies the specified word meaning.

Abstract: A learning method includes receiving first text information and second text information, acquiring first word information that identifies a combination of one of words included in the first text information and a word meaning of the one of the words, acquiring second word information that identifies a combination of one of words included in the second text information and a word meaning of the one of the words, specifying, by referring to a storage in which word meaning vectors associated with corresponding word meanings of words are stored in association with word information that identifies combinations of the words and the word meanings of the words, a first word meaning vector associated with the first word information and a second word meaning vector associated with the second word information, and learning parameters of a conversion model, by a processor.

Abstract: A search method includes receiving a search request to encoded text data, based on first index information produced by specifying an occurrence position of a character or a word included in original data of the encoded text data as a first axis and contents of the search request, generating second index information having a second axis superordinate to the first axis, and searching the encoded text data in response to the search request using the second index information.

Abstract: An information processing apparatus (100) determines, by referring to a storage unit that stores therein contour data of a plurality of objects, whether a plurality of pieces of contour data associated with a contour of a subject included in a captured image. The information processing apparatus (100) acquires, when a determination result is affirmative, by referring to the storage unit, a plurality of pieces of region data associated with the plurality of pieces of corresponding contour data associated with the contour of the subject and specifies, based on the plurality of pieces of acquired region data, an object associated with the subject from among the plurality of objects.

Abstract: A determining method includes acquiring first direction information, when a first captured image captured by an imaging device is acquired, by referring to a storage storing a plurality of pieces of direction information indicating a plurality of directions associating with respective shapes of a plurality of contours of an object according to a plurality of directions of the object, the first direction information associated with a shape of a contour that corresponds to a shape of a contour of the subject included in the acquired first captured image among the shapes of the contours, and acquiring second direction information, when a second captured image newly captured by the imaging device is acquired, by referring to the storage to acquire second direction information associated with a shape of a contour that corresponds to a contour of the subject included in acquired second captured image among the shapes of contours.

Abstract: A file generating device (100) extracts, when a captured image captured by an image capturing device is acquired, based on the acquired captured image, a shape of an object included in the captured image and generates, based on the extracted shape, text information that includes a drawing indication of the shape. The information processing apparatus (200) refers to a storage unit that stores therein, regarding each of a plurality of objects, identification information on the objects in association with the text information that includes a drawing indication of the objects and acquires identification information on an object, from among the plurality of objects, that is associated with the text information in which similarity to the generated text information satisfies a criterion.

Abstract: A storage control device specifies, based on association information, blocks in each of which the boundary is included from among a plurality of blocks. The storage control device generates, for each of the specified blocks, first image data and second image data. The first image data is image data that includes a first object and that does not include a second object, whereas the second image data is image data that includes a second object. The storage control device stores the generated first image data and the second image data in a storage unit so as to be identifiable.

Abstract: An alteration detection apparatus generates index information based on a document in a storage. The alteration detection apparatus acquires index information that is associated with information identifying a document. The alteration detection apparatus determines whether there is an alteration added to the acquired document based on a result of comparison between the generated index information and the acquired index information. The alteration detection apparatus detects, when there is an alteration, an altered part in the acquired document based on the result of comparison between the generated index information and the acquired index information.

Abstract: A data searching apparatus receives a searching character string with respect to an encoding document; referring to relevant information in which encoded data of a word according to an encoding rule of the encoding document is associated with a basic form of the word and a relevant word relevant to the basic form, with respect to a plurality of words, acquires a plurality of codes relevant to the basic form of the searching character string and a relevant word of the basic form and searches the encoding document by using an automaton in which the plurality of codes are set in a searching target.

Abstract: A determination device generates, based on a first captured image captured by a first image capturing device mounted on a moving object, a shape of a subject (one of subjects) included in the first captured image. The determination device estimates the location of the shape of the subject after specific time based on the location of the shape of the subject and a moving speed. The determination device extracts the shape of the subject from a second captured image captured by a second image capturing device mounted on the moving object; compares the location of the shape of the subject extracted from the second captured image with the location of the shape of the subject estimated from the first captured image; and performs determination related to a moving state of the subject.