Children’s Dictionary API

The Oxford Dictionaries API includes age-appropriate dictionary datasets designed for education, literacy, and assessment use cases.

These datasets provide simplified, age-appropriate definitions and curated vocabulary while using the same endpoints and workflows as the Dictionary API.

Explore Dictionary API

Available Children's Dictionary datasets:

American Children’s Dictionary (en-us-childs)

The American Children’s Dictionary is designed for education, assessment and literacy applications and is built using the Oxford Children’s Corpus, a collection of texts written for and by children.

It is designed to reflect realistic language exposure and prioritises clarity, suitability, and predictability over full language coverage.

Key characteristics

  • ~15,000 curated headwords
  • ~30,000+ entries including inflected forms
  • Simplified, child-friendly definitions
  • Child-appropriate example sentences
  • Pronunciation respellings included
  • Age-appropriate sense selection
  • Excludes adult or developmentally inappropriate meanings

Why use a children’s dataset?

In children-facing applications, extensive dictionary coverage is not always desirable.

A curated dataset helps:

  • Ensure age-appropriate language
  • Avoid complex or sensitive meanings
  • Reduce the need for filtering or moderation
  • Provide consistent and predictable outputs

This is particularly important in education and assessment environments. A smaller vocabulary is an intentional feature of this approach.

How it differs from a standard dictionary

Children’s dictionary dataset Standard dictionary dataset
Curated vocabulary Broad coverage
Age-appropriate meanings only All meanings and contexts
Simplified definitions Extensive linguistic detail
Designed for predictability Designed for completeness

How developers use it

Children’s datasets are accessed through the Dictionary API using the same endpoints.

Typical workflow

  1. Use Search to check if a word exists in the children’s dataset
  2. Retrieve dictionary content using the Words endpoint
  3. Treat missing results as intentional

If a word is not found, it indicates the term is either incorrect or falls outside the curated vocabulary. In children’s datasets, this acts as a safeguarding mechanism rather than a technical failure.

How to access the dataset

Use the children’s dataset language code when making requests. For example, to retrieve child-appropriate dictionary content for the word “apple”:

/api/v2/words/en-us-childs?q=apple Copy

When to use a children’s dataset

Use this dataset when:

  • Your application is child-facing
  • You need predictable, age-appropriate outputs
  • You want to reduce safeguarding risk

Use the standard dictionary when:

  • You need full language coverage
  • Your users are advanced learners
  • You require extensive lexical detail

Relationship to the Dictionary API

The Children’s dataset is part of the Dictionary API capability, which means it:

  • Uses the same endpoints
  • Requires no additional integration
  • Is selected via language code (en-us-childs)

It is possible to license both the standard and children’s dictionary together. This pairing is recommended for applications designed for a wide age range, ensuring appropriate definitions for both younger and older audiences.

See Dictionary API capability

Future datasets

Additional age-appropriate dictionary datasets may be introduced in other languages over time. Please get in contact if you would like to be a part of shaping future children’s dictionary releases.

FAQ

Do you offer a children’s dictionary API?

Yes. The Oxford Dictionaries API includes child-focused dictionary datasets designed for education, literacy and assessment applications.

What happens if a word is not found?

This indicates the word falls outside the curated vocabulary. This is intentional and supports predictable, age-appropriate outputs.

Can I combine this with a standard dictionary?

Yes. Educational applications can use the children’s dataset for core experiences and optionally fall back to standard dictionary data where broader coverage is required.

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