AINatural language processing
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AI-based natural language processing systems can provide major improvements in business efficiency, automation and product quality.
Many companies currently hold vast amounts of natural language information ranging from standard documents and reports to design specifications and surveys. Much of this information is not being effectively utilized.
Recent advances in AI technology mean these valuable resources can now be put to work. These developments make it possible to provide highly stable services regardless of the skill levels or experience of individual users.
Features
AI-based high-speed search systems
An AI engine automatically generates search suggestions using linked keywords it creates from target documents. Our in-house simulations show this can reduce search times by up to 70%.
Ideal for first-time users
When a target keyword is input, related keywords with a high relevance appear as suggestions. Selecting any of these suggestions allows the desired search results and documents to be accessed instantly.
70% reduction in search times
Our search engine ensures an extremely high degree of accuracy. Searches can be completed up to 70% faster than with conventional software.
Automatic dictionary creation
AI technology also allows the automatic creation of dictionaries containing the synonyms and related terms required for the AI to generate suggestions.
Available in SDK format
Our AI search suggestion function is also available in software development kit (SDK) format. This package allows it to be easily integrated into existing systems based on individual objectives and requirements.
*1： Measurement results within our company
Features
Dictionary creation services
Automatic creation and updating of synonym and technical dictionaries
Dictionaries of synonyms and technical vocabulary are essential when analyzing the natural language text in documents such as reports and surveys. However, normally, creating and maintaining these dictionaries is extremely time-consuming and demanding.
With our dictionary services, the majority of this work is performed in the background by an AI program. Automation of the process increases efficiency and, of course, reduces costs.
Automatic dictionary creation
An AI program automatically organizes existing text information and creates the required synonym and technical dictionaries. The entries are then registered in databases and deployed to the search system.
Importing of user dictionaries
It is also easy to import data from dictionaries created and maintained by individual users. This data is merged with existing dictionaries, enabling more efficient utilization and management of these important resources.
Detection of word networks
Recurrent neural networks allow the creation of comprehensive word maps from word vectors. These maps are analyzed to identify relationships between words and then used to automatically create dictionaries.
High-speed text mining
Synonym and technical dictionaries are also essential for the analytical processes involved in text mining. As a field becomes more specialized, it is increasingly time-consuming and difficult to understand and analyze related text and vocabulary.
Our dictionary creation function is able to handle even the most specialized areas with ease. Previously challenging text mining operations can now be completed quickly and efficiently.
Our dictionary creation function is able to handle even the most specialized areas with ease. Previously challenging text mining operations can now be completed quickly and efficiently.
Ideal for existing search systems
Synonym and technical dictionaries can easily be imported into an existing search system, producing significant improvements in accuracy. These resources can also be deployed to the AI program for generating high-speed search suggestions.
Features
Document quality improvement systems
Higher document quality using text checks featuring active learning functions
Our systems are able to analyze and learn from a wide variety of existing text sources ranging from reports to case studies and the minutes of meetings. The results are used to check the quality of newly created documents and suggest points for improvement or correction.
This process improves both the efficiency of document creation and the quality of the final information.
Text learning function
Existing documents such as reports and specification sheets are analyzed and the results of this learning process are registered in databases. Users can then create their own rules for how the data is applied during quality checks.
Targeted text evaluations
The text learning functions compare information registered in the databases with the document currently being created to generate a range of scores. With this program, any user can quickly perform detailed quality checks of their work.
Suggestions for improvement
The results of text evaluations make it easy to identify areas for improvement. Suggestions for potential corrections are generated with reference to earlier materials, greatly simplifying the current editing process.