The Theme Code "機械翻訳技術" had 31 patent application filings in the most recent period (2023-01-01 to 2023-03-31). This is a significantly decreased of -38 filings (-55.1%) over 69 they had in the same period of the previous year (2022-01-01 to 2022-03-31).
The highest number of filings in 2018 with 434 cases, and their lowest number in 2022 with 255 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 1,851 cases in total) is 308, and the median is 353. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
Index | Value |
---|---|
Average | 308 patents |
Std Dev | 142 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 255 cases | -12.97 % |
2021 year | 293 cases | -29.06 % |
2020 year | 413 cases | -2.82 % |
This report provides the latest patent analysis information (the IP landscape, including a patent map) on the patent search results of the JP patent database for 機械翻訳技術[5B091] for the period of the last 10 years (2014-01-01 to 2024-11-30). You can compare the information in this report with the trends in your competitors’ patent filings and technologies, and use it to search for important patents.
This service provides, free of charge, a patent analysis report based on the latest patent data (Japanese, U.S., European, and PCT application publications) for use in patent searches, patent analysis, and IP landscaping. The service is offered by "Patent Integration" a firm specializing in patent search/patent analysis.
This report includes basic information to help you understand the IP strategy and management of 機械翻訳技術, such as changes in the number of patents/patent applications they have filed, comparisons of the numbers of patents/patent applications filed by their peers and competitors, their top coapplicants (joint research partners, alliance partners), and their most important patents. It can be used in various intellectual property business operations such as IP landscaping, patent search/patent analysis, preparation of intellectual property business evaluation reports, selection of M&A candidates, and selection of alliance partners.
He is a patent attorney at a patent office. He specializes in invention counseling, patent filing, and intellectual property strategies for start-up companies and new businesses in the fields of software, information technology and artificial intelligence. He runs a patent course for beginners on Udemy, an online course provider.
After studying physics at the University of Tokyo as a doctoral student, he was engaged in intellectual property analysis and technology trend research as an in-house patent attorney at a precision equipment manufacturer and at Toyota Central R&D Labs. Inc..
The concept of the "IP landscape" (IPL) has been attracting attention recently.
An IP landscape is not limited to patent information, but also integrates and analyzes business information (e.g., non-patent information such as papers, news releases, stock information, and market information). Intellectual-property-based business management is realized through the analysis of intellectual property information applied to the formulation of management strategies and business strategies. This is a comprehensive approach that includes but not limited to planning of open and closed strategies, selecting M&A candidates, searching for alliance partners, and formulating intellectual property strategies, through the exploitation of intellectual property information.
IP landscaping usually includes patent search and patent analysis. In patent search and patent analysis, it is important to grasp the market position of each company and the overall technological trends and development trends for each technology. More specifically, it is important to understand what intellectual property your own company and other companies hold, what the strengths and weaknesses of other companies are, and how other companies are trying to exploit their intellectual property. In other words, it is important to understand both the business strategy and the intellectual property strategy of each company.
After reading this search report, you may be interested in more detailed patent searches and patent analysis. We offer a service called Patent Integration, which is an integrated patent search and patent analysis service. With reasonable pricing and a simple user interface such that even beginners can quickly search for and analyze patent information by company or technology from a web browser, please consider using it for detailed patent searches, patent analysis, and IP landscaping.
Patent Integration has a patent-landscaping function that can visually represent a set of tens of thousands of patents/patent applications. This allows you to convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
The changes in the number of patent filings of 機械翻訳技術 over the last 20 years (JP) are shown below.
The change in the number of patents/patent applications is the most basic index in patent analysis. By examining the change in the number of patents/patent applications, you can see the status of technological development and R&D focus for each company or technology. It should be noted that since there is a one and a half year lag between the filing and the laying open of patent applications, it is not possible to analyze the situation more recently than one and half years prior to the present.
In this report, you can only see the change in the number of patents/patent applications by company or technology, whereas Patent Integration allows you to quickly compare the number of patent applications with your competitors in each technical field by cross-referencing with other keywords and patent classifications.
Patent landscaping is a visualization of the distribution of patent filings (application focus areas) for each technical keyword. Mountains and islands indicated by heatmap contours represent clusters of patent applications filed, and red areas on the heatmap indicate many patent filings relating to the keyword.
The patent landscape for 機械翻訳技術 gives an intuitive understanding of what patent filings they have made and what technical position is to be established. By selecting filing year checkboxes and filtering, you can track their past filing trends (what technical area they have focused on).
By selecting applicant/patent holder checkboxes and filtering, you can visually grasp the technical areas of the filings for each applicant and the partnerships or alliances formed. Please use it as a guide for patent analysis and IP landscaping.
In addition, by visually representing the patent data in this manner, you can convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
In Patent Integration, you can check the specifics of a patent filing by clicking anywhere on the patent landscape screen. You can also quickly check the position of each applicant for each technical field by cross-referencing with other keywords and patent classifications. You can use it as a guide when considering hypotheses about each company's IP strategy on the IP Landscape. You can also use it for higher-grade intellectual property activities. It has reasonable pricing and a simple user interface that is easy for beginners to handle.
The following is a list of words (characteristic terms) often used in 機械翻訳技術 patent applications. Characteristic terms with a higher importance are used in more patents/patent applications.
This patent analysis report was created for a patent search set of 3,163 cases retrieved by applying the following search formula and analysis period to the following patent database. Patent information such as a patent analysis result, a patent map, and a patent landscape can be freely used for patent searches, analysis, and work on intellectual property strategies, including IP landscaping.
The patent information of the higher applicant in the technical theme 機械翻訳技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
Comparing the number of applications of each company, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 24 cases, followed by 富士通株式会社 with 17 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 24 cases |
富士通株式会社 | 17 cases |
キヤノン株式会社 | 8 cases |
富士フイルムビジネスイノベーション株式会社 | 8 cases |
日本電信電話株式会社 | 7 cases |
株式会社東芝 | 6 cases |
日本電気株式会社 | 6 cases |
沖電気工業株式会社 | 5 cases |
株式会社リコー | 3 cases |
シャープ株式会社 | 1 cases |
Comparing the number of applications of each company, 日本電信電話株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 265 cases, followed by 富士通株式会社 with 206 cases.
Name | Cases |
---|---|
日本電信電話株式会社 | 265 cases |
富士通株式会社 | 206 cases |
株式会社日立製作所 | 132 cases |
富士フイルムビジネスイノベーション株式会社 | 89 cases |
株式会社東芝 | 84 cases |
日本電気株式会社 | 71 cases |
株式会社リコー | 54 cases |
キヤノン株式会社 | 40 cases |
シャープ株式会社 | 28 cases |
沖電気工業株式会社 | 17 cases |
パナソニックホールディングス株式会社 | 7 cases |
Below is a patent map showing changes in the number of applications for JP patents of 11 companies in the same industry over the past 20 years.
The patent information of the higher applicant in the technical theme 機械翻訳技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 24 cases, followed by 富士通株式会社 with 17 cases.
among the top coapplicants, 日本電信電話株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 265 cases, followed by 富士通株式会社 with 206 cases.
Below is a ranking of the number of JP patent applications by 機械翻訳技術’s top 7 coapplicants over the last 20 years.
Below is a patent map showing the changes in the numbers of JP patent filings by 機械翻訳技術’s top 7 coapplicants over the last 20 years.
機械翻訳技術 filed 84 joint applications with 株式会社東芝 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 23 cases in total) is 3.8, and the median is 4.0. The coefficient of variation (standard deviation/mean) is 0.3, and there have been big fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2015 with 19 cases, and their lowest number in 2021 with 3 cases.
Index | Value |
---|---|
Average | 3.8 patents |
Std Dev | 1.2 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 4 cases | +33.3 % |
2021 year | 3 cases | -25.00 % |
2020 year | 4 cases | 0 |
機械翻訳技術 filed 265 joint applications with 日本電信電話株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 104 cases in total) is 17.3, and the median is 12.0. The coefficient of variation (standard deviation/mean) is 0.8, and there have been relatively large fluctuations in the number of filings from year to year.
The highest number of filings in 2015 with 50 cases, and their lowest number in 2022 with 4 cases.
Index | Value |
---|---|
Average | 17.3 patents |
Std Dev | 14.6 |
COV | 0.8 |
Year | Cases | YOY |
---|---|---|
2022 year | 4 cases | -20.00 % |
2021 year | 5 cases | -73.7 % |
2020 year | 19 cases | -48.6 % |
機械翻訳技術 filed 71 joint applications with 日本電気株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 29 cases in total) is 4.8, and the median is 4.0. The coefficient of variation (standard deviation/mean) is 0.8, and there have been relatively large fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2014 with 17 cases, and their lowest number in 2021 with 1 cases.
Index | Value |
---|---|
Average | 4.8 patents |
Std Dev | 3.7 |
COV | 0.8 |
Year | Cases | YOY |
---|---|---|
2022 year | 5 cases | +400 % |
2021 year | 1 cases | -66.7 % |
2020 year | 3 cases | -72.7 % |
機械翻訳技術 filed 206 joint applications with 富士通株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 110 cases in total) is 18.3, and the median is 18.5. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2018 with 34 cases, and their lowest number in 2022 with 16 cases.
Index | Value |
---|---|
Average | 18.3 patents |
Std Dev | 9.7 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 16 cases | -11.11 % |
2021 year | 18 cases | -18.18 % |
2020 year | 22 cases | +15.79 % |
機械翻訳技術 filed 54 joint applications with 株式会社リコー for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 34 cases in total) is 5.7, and the median is 7.0. The coefficient of variation (standard deviation/mean) is 0.6, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2014 with 9 cases, and their lowest number in 2015 with 2 cases.
Index | Value |
---|---|
Average | 5.7 patents |
Std Dev | 3.2 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 3 cases | -50.0 % |
2021 year | 6 cases | -33.3 % |
2020 year | 9 cases | +12.50 % |
The following shows JP patents held by 機械翻訳技術 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and 機械翻訳技術’s JP patents/patent applications of high importance cited by Examiners in patent examination processes.
By noting the most important patents, you can obtain knowledge of the competitive business environment in which 機械翻訳技術 is placed (e.g., whether it is a fiercely competitive environment or an oligopolistic market and the like). In general, it can be understood that a company with a large number of demands for invalidation trials is developing their business in a business environment where IP disputes are common.
If you want to search for more detailed information, you can use Patent Integration to retrieve and download by company cited patents/patent applications or patents undergoing invalidation trials. You can quickly extract important patents from a patent set that includes multiple competitors by cross-referencing with other keywords and patent classifications. Please consider using it for searches for important patents/patent applications.
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 5 patents Protest from third parties. The average number of Protest is 1.0 times. The most recently Protest patent is 特許7198800 "意図認識最適化処理方法、装置、機器および記憶媒体" (Protest day 2024-04-26) , next is 特許7357606 "臨床試験の需給予測のためのシステムおよび方法" (Protest day 2024-02-15) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特許7198800 | 意図認識最適化処理方法、装置、機器および記憶媒体 | 2024-04-26 |
2 | 特許7357606 | 臨床試験の需給予測のためのシステムおよび方法 | 2024-02-15 |
3 | 特許6792132 | 情報処理装置 | 2022-06-16 |
4 | 特開2020-160971 | 契約書校正システム、契約書校正プログラム及び契約書校正方法 | 2022-03-01 |
5 | 特開2020-160970 | 法律文書データ校正システム、法律文書データ校正プログラム及び法律文書データ校正方法 | 2022-01-20 |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 5 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.0. The most protest patent is 特開2020-160970 "法律文書データ校正システム、法律文書データ校正プログラム及び法律文書データ校正方法" (1 times) , and the next most protest patent is 特許7198800 "意図認識最適化処理方法、装置、機器および記憶媒体" (1 times) .
- | No. | Title | |
---|---|---|---|
1 | 特開2020-160970 | 法律文書データ校正システム、法律文書データ校正プログラム及び法律文書データ校正方法 | 1 times |
2 | 特許7198800 | 意図認識最適化処理方法、装置、機器および記憶媒体 | 1 times |
3 | 特許6792132 | 情報処理装置 | 1 times |
4 | 特開2020-160971 | 契約書校正システム、契約書校正プログラム及び契約書校正方法 | 1 times |
5 | 特許7357606 | 臨床試験の需給予測のためのシステムおよび方法 | 1 times |
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 6 patents Inspection from third parties. The average number of Inspection is 1.0 times. The most recently Inspection patent is 特開2023-121482 "文書入力支援プログラム、および、文書編集システム" (Inspection day 2024-10-16) , next is 特許7357606 "臨床試験の需給予測のためのシステムおよび方法" (Inspection day 2024-03-11) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特開2023-121482 | 文書入力支援プログラム、および、文書編集システム | 2024-10-16 |
2 | 特許7357606 | 臨床試験の需給予測のためのシステムおよび方法 | 2024-03-11 |
3 | 特表2022-548761 | 自然言語コンテンツの選択的な深い構文解析 | 2023-08-25 |
4 | 特表2022-545062 | オントロジーベースの概念埋め込みモデルを使用した自然言語処理 | 2023-07-27 |
5 | 特許6792132 | 情報処理装置 | 2022-07-15 |
6 | 特開2020-160971 | 契約書校正システム、契約書校正プログラム及び契約書校正方法 | 2022-06-08 |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 26 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.1. The most inspection patent is 特許6382359 "個人の属性情報の集合体を利用するためのコンピュータシステム、サーバ装置およびプログラム" (3 times) , and the next most inspection patent is 特許7082570 "ヒト標本研究のための情報に基づく同意データの体系化、追跡、および使用のための方法およびシステム" (2 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6382359 | 個人の属性情報の集合体を利用するためのコンピュータシステム、サーバ装置およびプログラム | 3 times |
2 | 特許7082570 | ヒト標本研究のための情報に基づく同意データの体系化、追跡、および使用のための方法およびシステム | 2 times |
3 | 特許6754426 | 世界共通翻訳 | 1 times |
4 | 特開2022-026278 | 文章解析装置、方法、及び、プログラム | 1 times |
5 | 特表2022-548761 | 自然言語コンテンツの選択的な深い構文解析 | 1 times |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 876 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.7. The most cited patent is 特開2016-151928 "情報処理装置、情報処理方法、及びプログラム" (132 times) , and the next most cited patent is 特許6535349 "以前の対話行為を使用する自然言語処理における文脈解釈" (89 times) .
- | No. | Title | |
---|---|---|---|
1 | 特開2016-151928 | 情報処理装置、情報処理方法、及びプログラム | 132 times |
2 | 特許6535349 | 以前の対話行為を使用する自然言語処理における文脈解釈 | 89 times |
3 | 特許6305588 | 拡張された会話理解アーキテクチャ | 47 times |
4 | 特許6570169 | ユーザ対話システムと共にユーザ操作を支援する対話支援プログラム、サーバ及び方法 | 40 times |
5 | 特許7033729 | ガイド支援システム及びガイド支援方法 | 26 times |
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