Remon -

Remon is a fullstack web app that applies morphological analysis to japanese tatoeba sentences and categorize them based on kanji and vocabulary JLPT level.

In summary, it utilizes the following:

• kuromoji a natural language processing / morphological analyzer library
• database integration with built-in api
• web scraping for data processing and analyzing JLPT levels.

Project Overview

• Backend: Node.js, Express, PostgreSQL (hosted on Neon)
• Frontend: React.js
• Data Processing: Python, Selenium, Pandas
• Deployment: Vercel (API and frontend)

Features

• Tokenizes and analyzes Japanese sentences, identifying kanji and converting to Hiragana, Katakana, and Romaji.
• Retrieves kanji meanings, JLPT levels (N5 to N1), and parts of speech (noun, verb, adjective, etc.).
• Generates quizzes based on JLPT level for language practice.
• Hosts a large dataset with over 1.6 million rows, including kanji levels, dictionaries, and example sentences.

Usage

• website: https://remonjp.vercel.app/

remon-API

• https://www.postman.com/research-architect-39014665/remon/collection/hzldqdb/remon-api?action=share&creator=37418672