n5-vocabulary-tester

You can verify JLPT N5 vocabulary JSON files by triggering a validation request, which runs a Python script to check JSON structure, required fields, ID formats, and tag validity, followed by a manual linguistic review of translations and furigana.

Vocabulary JSON validation checks for structural errors, missing required fields, incorrect ID formatting, invalid tags, furigana correctness, and translation accuracy to ensure the completeness of language learning materials.

Yes, Python3 is required because the mechanical validation phase uses a Python script to automatically check the JSON structure, required fields, ID formats, and tag validity within your vocabulary dataset.

You should validate your vocabulary JSON file after updating the dataset to catch formatting errors, missing translations, or incorrect furigana before publishing the language learning materials.

Furigana and translation accuracy are reviewed manually during the semantic linguistic pass, while the JSON structure, ID formats, and tag validity are checked automatically by the Python script during the mechanical validation pass.

The best way to verify JLPT N5 vocabulary data is to use a two-pass validation process that combines automated mechanical schema checks with a semantic linguistic review of example sentences and translations before publishing.