Fujitsu Corporation

Satoshi Onoue

Masahiro Kataoka

Akira Sakai

Hiroyuki Yoshida

Ryo Matsumura

Seiji Okura

Masao Ideuchi

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.

Control method, control program, and information processing device

An information processing apparatus accepts text data. When specifying a word included in the accepted text data, the information processing apparatus generates a code associated with the specified word and generates information that associates the appearance position of the specified word in the text data with the word. The information processing apparatus stores therein the generated code and the information in association with the accepted text data.

Text processing method and text processing apparatus for generating statistical model

A semantic vector generation device () obtains vectors of a plurality of words included in text data. The semantic vector generation device () extracts a word included in any group. The semantic vector generation device () 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 () 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 () generates a vector in accordance with the any semantics on the basis of the vector identified and the vector generated.

Non-transitory computer readable recording medium, semantic vector generation method, and semantic vector generation device

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.

Method and apparatus for generating context information

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.

Analysis method, analyzer, and computer-readable recording medium

An analysis device includes a memory and a processor configured to acquire a document for analyzing, generate a coded document including a plurality of coded words by coding the document for each word unit, determine a vector value according to a condition of appearance of a first coded phrase in the coded document, the first coded phrase corresponding to a combination of two or more coded words included in the plurality of coded words, and assign the vector value to the first coded phrase.

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Yokohama, Japan

Satoshi Onoue