18276198. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM simplified abstract (Nippon Telegraph and Telephone Corporation)

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM

Organization Name

Nippon Telegraph and Telephone Corporation

Inventor(s)

Takaaki Moriya of Musashino-shi, Tokyo (JP)

Manabu Nishio of Musashino-shi, Tokyo (JP)

Taizo Yamamoto of Musashino-shi, Tokyo (JP)

Yu Miyoshi of Musashino-shi, Tokyo (JP)

INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18276198 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM

Simplified Explanation

The patent application describes an information processing device that calculates the degree of unexpectedness between words using semantic and waveform similarity matrices.

• The device calculates the degree of overlapping between probability distributions of words in the matrices.
• It determines the unexpectedness between words based on the calculated probabilities.
• The technology aims to measure the similarity and unexpectedness between words in a dataset.

Key Features and Innovation

• Calculation of overlapping probabilities in semantic and waveform similarity matrices.
• Determination of unexpectedness between words based on probability distributions.
• Integration of semantic and waveform data to measure similarity and unexpectedness.

Potential Applications

The technology can be used in:

• Natural language processing for text analysis.
• Speech recognition systems for improved accuracy.
• Data mining and pattern recognition applications.

Problems Solved

• Efficient measurement of similarity and unexpectedness between words.
• Enhanced understanding of relationships in datasets.
• Improved accuracy in language processing tasks.

Benefits

• Increased accuracy in data analysis.
• Enhanced performance of language processing systems.
• Better insights into relationships between words.

Commercial Applications

• "Enhanced Language Processing Technology for Improved Data Analysis and Pattern Recognition"
• This technology can be utilized in various industries such as healthcare, finance, and marketing for data analysis and pattern recognition tasks.

Prior Art

There is prior research on semantic similarity and waveform analysis in language processing, but the specific integration described in this patent application appears to be novel.

Frequently Updated Research

There may be ongoing research in the field of natural language processing and data analysis that could impact the development and implementation of this technology.

Questions about the Technology

Question 1

How does the device calculate the degree of unexpectedness between words using semantic and waveform similarity matrices?

The device calculates the degree of unexpectedness by analyzing the probability distributions of words in the matrices and determining the degree of overlapping between them.

Question 2

What are the potential applications of this technology beyond language processing tasks?

This technology can also be applied in speech recognition systems, data mining, and pattern recognition tasks across various industries for improved accuracy and efficiency.

Original Abstract Submitted

An information processing device includes a calculation unit that calculates a degree of overlapping between a probability distribution of each probability value included in a row i or a column i of a semantic similarity matrix, and a probability distribution of respective probability values included in a row j or a column j (j≠i) of the waveform similarity matrix as a degree of unexpectedness between an i-th word and a j-th word using the semantic similarity matrix in which elements are probability values in one row or one column of a semantic similarity between words of a plurality of words and the waveform similarity matrix in which elements are probability values in one row or one column of a waveform similarity between time-series data of time-series data related to the words.