Artificial-Intelligence-Terminology-Database

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Artificial-Intelligence-Terminology-Database is an open-source knowledge management tool that provides a comprehensive English to Chinese technical vocabulary database for AI. It helps users accurately understand and translate AI terminology.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Artificial-Intelligence-Terminology-Database?

The Artificial-Intelligence-Terminology-Database is a comprehensive, open-source mapping database of English to Chinese technical vocabulary in the artificial intelligence domain. Developed by Jiqizhixin, it aims to assist researchers, translators, and students in accurately understanding and translating AI terminology. The database currently contains over 2400 professional terms, with specialized sections for Machine Learning and AI for Science. It provides indexed terms with English and Chinese translations, common abbreviations, and sources/expansions for conceptual understanding. The project emphasizes accuracy, drawing from authoritative textbooks and literature, and encourages community contributions to continuously improve and expand the terminology.

Best used for

Ideal for students, professors, and teachers who need to accurately translate AI technical vocabulary, understand complex AI concepts, and standardize terminology across different contexts. Especially valuable for those working with English and Chinese AI literature and research.

Common actions

translate AI terms

understand AI concepts

standardize terminology

research AI vocabulary

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Capabilities

Key features

English to Chinese mapping
AI technical vocabulary
Common abbreviations
Source and expansion details
Specialized domain sections

Target Audience

studentprofessorteacher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of AI terms are included in the database?

The database includes a wide range of AI technical vocabulary, covering foundational concepts and specialized domains like Machine Learning and AI for Science. Terms are sourced from authoritative textbooks and literature, ensuring accuracy and relevance for technical users.

How can users contribute to the Artificial-Intelligence-Terminology-Database?

Users are encouraged to contribute by raising issues for errors, suggesting new terms, or proposing translation improvements. Contributions can be made via GitHub by forking the repository and submitting pull requests, helping to enhance the database's quality and scope.

What is the standard for term translation in this database?

The database follows a rigorous standard for translation, prioritizing accuracy and common usage. It draws from established Chinese translations in academic works and involves domain experts to resolve ambiguities and ensure consistency, especially for less common or ambiguous terms.

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Content & Design › Translation & Localization

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