Communication Engine
"COTOHA® API"

This service is the API service that makes it possible to easily use natural language processing and speech recognition that make use of the results of over 40 years of research by NTT Group.
The accuracy can be improved by using a Japanese dictionary with over 2.1 million words and an individual dictionary, which can be used in various business situations dealing with Japanese texts.

Communication Engine “COTOHA® API” service
ended on June 30, 2024.
docomo business | NTT Communications
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Global Site : NTT Ltd.
Service Overview
Features & Benefits
Use cases

COTOHA® API is API service for text and language analysis, interactive conversation, and voice recognition based on Japanese dictionaries and Natural Language functions developed by NTT R&D over 40 years, as well as other unique functions from COTOHA development.

* Uses corevo.

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COTOHA® API Portal

Learn more about our APIs by visiting COTOHA® API Portal. We also provide some technical documents and post new information about our community activities and events.
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The key features of COTOHA® API are its World largest Japanese dictionaries capability, semantic attributes, and context understanding. These features allow for correct, detailed analysis and understanding of Japanese text, making it possible to utilize the API in contexts that were previously impossible within fields such as Japanese sentence structure anaylsis, interactive conversation, and voice recognition.

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COTOHA® API can be used in all kinds of business use cases that involve use of the Japanese language.

１.
Taking advantage of previously unusable and unstructured big data for marketing improvement.

Analysis of unstructured data becomes complicated when you want to use your big data for marketing or other purposes, and most of them left unused without leveraging its valuable resources. Taking advantage of previously unusable and unstructured big data for marketing improvement. Before
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You can use COTOHA® API to take advantage of big data for marketing by analyzing unstructured data and extracting user attributes. Taking advantage of previously unusable and unstructured big data for marketing improvement. After
2.
You can expand the adaptibility of RPA by detecting and correcting spelling inconsistencies in pre-processing.

You have improved operational efficiency by implementing RPA, but there are a large amount of noise in the file you are about to process, preventing robots from processing the work You can expand the adaptibility of RPA by detecting and correcting spelling inconsistencies in pre-processing. Before
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COTOHA® API can remove noise such as spelling inconsistencies to allow robots to process the files. This expands the adaptability of RPA in making its implementation more efficient. You can expand the adaptibility of RPA by detecting and correcting spelling inconsistencies in pre-processing. After
3.
Implement support systems more efficiently with more precise voice recognition.

You have deployed support system using the Robot integrated with subsequent Virtual Assistants or Chat Bots using Voices as input.
However, accuracy of recognition is low, and cost reduction cannot be achieved. Implement support systems more efficiently with more precise voice recognition Before
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COTOHA® API can improve the accuracy of voice recognition by identifying and correcting typical recognition mistakes.
By reducing the rate of escalation to human staff, cost reductions are further increased. Implement support systems more efficiently with more precise voice recognition After

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