National Institute of Information and Communications Technology, Incorporated

Hitoshi Isahara

Masaki Murata

Norio Fujimaki

Tomoe Hayakawa

Kyouko Kanzaki

The device of the present invention can automatically extract words under accurately controlled set conditions. A word presenting means presents words to a subject, a biological activity measuring means measures the biological activity in the subject, and a calculation means receives a biological activity signal from the biological activity measuring means and calculates time from presenting the words until detecting a biological activity by the subject accompanied with the word. The calculation means is equipped with a word database where word data indicating words are stored and can be presented to the subject, a category data of the words and attribute data of the words are related and also stored, respectively, and a word extractor to search the word database and to extract the word data belonging to or relating to a predetermined category, and, satisfying predetermined word attribute, based upon the search conditions. The word presenting means presents a portion of or entire words indicated by the word data extracted by the word presenting means to the subject.

Language processing function measuring device

An negative example prediction processing method for predicting a likelihood of examples being negative for data where, with respect to a certain problem, it is not known whether the data is for a correctly worded positive example or for an incorrectly worded negative example. In this negative example prediction processing method, an unknown example x is inputted and a determination is made as to whether or not the example x exists in a positive example database provided in advance. If the example x does not exist, a typical probability of appearance p(x) for the example x is calculated, and a likelihood Q (x) of the example x being an negative example is calculated from the probability of appearance p(x).

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Koganei, Japan

Hitoshi Isahara