Abstract: A semantic vector generation device (100) obtains vectors of a plurality of words included in text data. The semantic vector generation device (100) extracts a word included in any group. The semantic vector generation device (100) generates a vector in accordance with the any group on the basis of a vector of the word extracted among the obtained vectors of the words. The semantic vector generation device (100) identifies a vector of a word included in an explanation of any semantics of the word extracted among the obtained vectors of the words. The semantic vector generation device (100) generates a vector in accordance with the any semantics on the basis of the vector identified and the vector generated.

Abstract: A memory stores therein a document and a plurality of word vectors that are word embeddings respectively computed for a plurality of words. A processor extracts, with respect to one of the words, two or more surrounding words within a prescribed range from one occurrence position where the one word occurs, from the document, and computes a sum vector by adding word vectors corresponding to the surrounding words. The processor determines a parameter such as to predict the surrounding words from the sum vector and the parameter using a machine learning model. The processor stores the parameter as context information for the one occurrence position, in association with the word vector corresponding to the one word.

Abstract: An index generation method includes: executing an extraction process that includes extracting a plurality of morphemes from document information; and executing a generation process that includes generating index information with respect to each of the plurality of morphemes, wherein the index information includes a first logical value and a second logical value, wherein the first logical value indicates existence of a first morpheme associated with ‘morpheme information indicating the first morpheme’ and ‘position information indicating a position of the first morpheme in the document information’, and wherein the second logical value indicates existence of the first morpheme associated with ‘attribute information indicating a semantic attribute of the first morpheme’ and ‘position information indicating the position of the first morpheme’.

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 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: A non-transitory computer-readable storage medium storing an information processing program that causes at least one computer to execute a process includes extracting first sentence vectors of a plurality of first sentences included in a first text; specifying a second sentence of which a tendency of a vector is different from the plurality of first sentences from among a plurality of second sentences included in a second text based on the extracted first sentence vectors and second sentence vectors of the plurality of second sentences; extracting a word that matches a homophone or a conjunction stored in a storage device from among words included in the specified second sentence; and generating a third sentence of which a tendency of a vector is the same as or similar to the plurality of first sentences by converting the extracted word into a word associated with the homophone or the conjunction.

Abstract: An information processing device executes a process includes determining whether or not encoding target data is in an inflective form of a word when the encoding target data included in target sentence data is encoded; and registering the encoding target data and a code assigned to the encoding target data in a dynamic dictionary in association with each other, in a case where the encoding target data is in the inflective form of the word.

Abstract: A non-transitory computer-readable storage medium storing an information processing program that causes a computer to execute a process that includes embedding a plurality of parts in a vector space based on similar parts information in which parts of the plurality of parts that are similar to each other a certain degree or more are associated for a plurality of different types of parts; acquiring a vector of a first combination and a vector of a second combination based on a vector in the vector space of each of parts included in the first combination and the second combination of the plurality of parts; and determining similarity between the first combination and the second combination based on the vector of the first combination and the vector of the second combination.

Abstract: An information processing device encodes a plurality of documents into a first plurality of encoded documents, respectively based on first encoding information in which a plurality of words and a plurality of first codes of a first code group are associated, words included in the plurality of documents and included in the first encoding information being encoded in the plurality of encoded documents. The information processing device performs frequency counts for each of a plurality of codes in the first encoded documents encoded in the first encoding. The information processing device encodes the plurality of first encoded documents into a plurality of second encoded documents respectively, utilizing a result of the frequency counts.

Abstract: A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process including: generating an index based on a dictionary for use in morphological analysis, the index relating to morphemes registered in the dictionary, the index including flags by which a beginning and an end of each morpheme registered in the dictionary are determinable; and extracting a plurality of dividable words from input character data by using the index.

Abstract: An information processing device executes a process includes determining whether or not encoding target data is in an inflective form of a word when the encoding target data included in target sentence data is encoded; and registering the encoding target data and a code assigned to the encoding target data in a dynamic dictionary in association with each other, in a case where the encoding target data is in the inflective form of the word.

Abstract: A non-transitory computer-readable recording medium stores a semantic structure search program. The semantic structure search program causes a computer to execute the following process. The computer generates a plurality of search semantic symbols from a search request. Next, the computer specifies a position of a specific word that corresponds to the search request in a search target document, by the plurality of search semantic symbols and document semantic structure position information. The document semantic structure position information includes a relationship information between a plurality of semantic symbols and a plurality of positions of a plurality of words in the search target document. The plurality of semantic symbols represent a semantic structure corresponding to the plurality of words. Thereafter, the computer outputs a search result including the specific word and the position of the specific word in the search target document.

Abstract: An encoding apparatus includes a memory and a processor configured to acquire text data, specify a first dynamic dictionary among a plurality of dynamic dictionaries based on attribute information of a first word included in the text data, register the first word in association with a first dynamic code in the first dynamic dictionary, and encode the first word into the first dynamic code.

Abstract: A computer: acquires, from a compression dictionary that associates each of codes having a length according to a frequency of appearance of a set of a word and a word meaning of the word with that set, the set of any word and that word meaning, and one of the codes associated with the set of the any word and that word meaning; selects, from among a plurality of fixed-length codes stored in the memory with a same length in association with the set of the word and that word meaning, one of the fixed-length codes associated with the set of the any word and that word meaning; generates a conversion dictionary that associates the selected one of the fixed-length codes with the acquired one of the codes; and specifies, by the conversion dictionary, the individual fixed-length codes associated with each of the codes contained in compressed data.

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 evaluation method for a computer to execute a process includes acquiring first base sequence data; generating second base sequence data by shifting positions of bases included in the first base sequence data; specifying a first partial base sequence that includes a base in which it is estimated that a genetic mutation is caused; generating a second plurality of partial base sequences by dividing bases included in certain base sequence data from a reference position on the certain base sequence data according to the certain rule; and evaluating the first base sequence data according to an appearance state in which an arrangement of the first partial base sequence and a second partial base sequence that has a certain positional relationship with the first partial base sequence appears in the second plurality of partial base sequences.

Abstract: A computer generates a plurality of encoded sentences in the first language by encoding a plurality of sentences in the first language in prescribed units. Next, the computer generates a plurality of encoded sentences in the second language by encoding a plurality of sentences in the second language, each of which is associated with each of the plurality of sentences in the first language, in the prescribed units. The computer generates alignment information based on a code included in each of the plurality of encoded sentences in the first language and a code included in an encoded sentence in the second language, which is associated with each of the plurality of encoded sentences in the first language. The alignment information indicates an alignment between a plurality of codes in the first language and a plurality of codes in the second language.

Abstract: An information processing device identifies a vector corresponding to any word included in text included in a search condition. The information processing device refers to a storage unit that stores presence information indicating whether or not a word corresponding to each of a plurality of vectors is included in each of a plurality of text files, and identifies a text file including the any word among the plurality of text files on the basis of presence information associated with a vector in which similarity to the identified vector is equal to or higher than a standard among the plurality of vectors.

Abstract: An output method executed by a computer includes: receiving compressed data encoded in a state in which a page break is identifiable in print data having a plurality of pages and an encoding dictionary used for the encoding; identifying the page break of the received compressed data and partially decompressing the received compressed data into the print data in units of pages, by using the encoding dictionary; and outputting the print data in order of the decompression.

Abstract: A non-transitory computer-readable recording medium recording an indexed data generation program causing a computer to execute processing of generating ledger sheet output format data from ledger sheet data including a ledger sheet having a plurality of columns; generating index information for words, characters, or numerical values, the index information including positional information capable of specifying attributes of the plurality of columns and a positional relationship in the ledger sheet data between pieces of data corresponding to the plurality of columns included in the ledger sheet output format data; and outputting an output file including the index information and the ledger sheet output format data.