Credits

RT Nihongo Club is built on the shoulders of open data projects that make Japanese language learning accessible to everyone. Each card names the project, its license, and exactly what we changed. Full notice texts are on the third-party noticespage.

Dictionary data

JMdict (via jmdict-simplified)

CC BY-SA 4.0

Our vocabulary database is powered by JMdict, the comprehensive Japanese–English dictionary maintained by the Electronic Dictionary Research and Development Group. Every entry in our dictionary keeps its JMdict sequence number, and word-frequency ordering derives from JMdict’s own priority data.

Author / holder
Electronic Dictionary Research and Development Group (EDRDG)
Our changes
Content filter: 38 entries excluded and 137 senses removed (documented in data/README.md) Romaji, JLPT levels, frequency ranks and learn ordering are our own additions

This publication has included material from the JMdict (EDICT, etc.) dictionary files in accordance with the licence provisions of the Electronic Dictionaries Research Group.

Our adaptations of this data are available under the same license: if you want the JMdict (via jmdict-simplified) portions of our database in their adapted form, contact us and we will provide them under CC BY-SA 4.0.

Japanese Wiktionary (via wiktextract)

CC BY-SA 4.0 (or GFDL, at your choice)

Japanese-language definitions and etymological notes (the 日本語 definition panels) come from Japanese Wiktionary, extracted with the wiktextract tool by Tatu Ylonen. Each panel links back to the source page it came from.

Author / holder
Wiktionary contributors; extraction tool © Tatu Ylonen (MIT)
Our changes
Filtered to lang_code === "ja" entries, readings normalized, redirects dropped, reshaped into our sense schema

Academic use of the extracted data should cite: Tatu Ylonen, "Wiktextract: Wiktionary as Machine-Readable Structured Data", Proceedings of LREC 2022, pp. 1317–1325, Marseille.

Our adaptations of this data are available under the same license: if you want the Japanese Wiktionary (via wiktextract) portions of our database in their adapted form, contact us and we will provide them under CC BY-SA 4.0.

KANJIDIC2

CC BY-SA 4.0

On and kun readings for our 5,015 kanji come from the KANJIDIC2 project, accessed via the kanjiapi.dev API.

Author / holder
Electronic Dictionary Research and Development Group (EDRDG)

This publication has included material from the KANJIDIC dictionary files in accordance with the licence provisions of the Electronic Dictionaries Research Group.

Our adaptations of this data are available under the same license: if you want the KANJIDIC2 portions of our database in their adapted form, contact us and we will provide them under CC BY-SA 4.0.

Kanji & writing

Stroke-order diagrams and writing practice for kanji and kana are drawn from KanjiVG stroke data by Ulrich Apel.

Author / holder
Ulrich Apel
Our changes
XML prologue, DOCTYPE and per-file copyright comment stripped from each SVG on import; the kvg: element structure is kept intact

Our adaptations of this data are available under the same license: if you want the KanjiVG portions of our database in their adapted form, contact us and we will provide them under CC BY-SA 3.0.

jlpt-kanji-dictionary

MIT

The kanji character set, stroke counts, English descriptions, and JLPT level assignments originate from the jlpt-kanji-dictionary project by Egor Kiselev.

Author / holder
Egor Kiselev (AnchorI)
Our changes
5 descriptions blanked by our content filter

Curriculum

JLPT level assignments for vocabulary come from the JLPT resource lists compiled by Jonathan Waller at tanos.co.uk, which have levelled study vocabulary for learners since the test changed format in 2010.

Author / holder
Jonathan Waller (tanos.co.uk), via jamsinclair/open-anki-jlpt-decks (MIT)
Our changes
Cross-level duplicates deduplicated (easiest level wins); okurigana headword spellings corrected

Literature examples

Example sentences from real Japanese literature come from Aozora Bunko, the digital archive of works whose copyrights have expired. We import only works flagged public-domain in the official catalog, and every displayed sentence names the work it came from.

Author / holder
Aozora Bunko and the original authors
Our changes
Sentence-segmented; ruby markup normalized

Software & speech

Furigana and word-boundary analysis use the kuromoji.js morphological analyzer by Takuya Asano, which bundles the mecab-ipadic dictionary from the Nara Institute of Science and Technology. The full NAIST notice is reproduced in our third-party notices.

Author / holder
Takuya Asano (kuromoji.js); Nara Institute of Science and Technology (IPADIC)

Text-to-speech (Google Cloud TTS, OpenAI)

Service terms; synthesized from our own sentences

All audio on the site is speech synthesized from our own sentences using Google Cloud Text-to-Speech (and OpenAI for some voices). No recorded human speech is used.

Author / holder
Google LLC / OpenAI

Our own work

RT Nihongo Club original content

All rights reserved

Everything else — the example sentences, grammar explanations, kana guide, word relations, chapter curricula, and all teaching notes — was written for RT Nihongo Club and is our own work.

Author / holder
RT Nihongo Club
Source
/credits

Our commitment

  • Every license obligation above is checked by an automated gate in our build: a data source cannot ship without its attribution.
  • Where we modified open data, the change is disclosed on this page.
  • Content is filtered for classroom appropriateness; those removals are documented per source.

Questions about data usage or licensing? Contact us and we will answer within a few days.