Common Japanese Morphemes in YOASOBI Lyrics

Showcase visualizations about the common Japanese morphemes in YOASOBI's songs' lyrics.

Morphemes are the smallest units of meaning in a language.

• Japanese morphemes were extracted using SudachiPy and romanized using Cutlet.

Disclaimers

• Lyrics were based on genius.com
• Lyrics of 29 YOASOBI songs

Visualizations

Common Japanese Morphemes in YOASOBI Lyrics:

• Visualizations Latest Update: 27 December 2024
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How to Extract Japanese Morphemes from Japanese Song Lyrics

Setup the Project

• Download Docker Desktop
• Download docker-compose.yml file from this repo.
• Place the Docker Compose file in a directory of your choice.
• Create lyrics directory in the same directory that you place the Docker Compose file.

Add Lyrics as JSON

• Below is a template of the JSON file.

  {
    "songs": [
      {
        "title": "",
        "romanji_title": "",
        "lyrics": ""
      }
    ]
  }

Explanation

• The JSON file contains an array of songs.
• Each song in the array has three fields:
  • title: The original Japanese title of the song.
  • romanji_title: The romanized version of the title.
  • lyrics: The full lyrics of the song in Japanese.

How to Add Songs

1. Create a new JSON file in the lyrics directory.
2. Follow the structure of the JSON file as explained in the above sections.
3. For each new song, add a new object to the songs array with the required fields.
4. Make sure to separate multiple song objects with commas.
5. Save the file with a meaningful name (e.g., yoasobi_songs.json).
6. The script will automatically process all JSON files in the lyrics directory.

You can seperate songs into it own JSON file, but the JSON structure should be as instructed

Example of adding multiple songs

{
  "songs": [
    {
      "title": "夜に駆ける",
      "romanji_title": "Yoru ni Kakeru",
      "lyrics": "ふざけあっても 分かり合えた気がした..."
    },
    {
      "title": "群青",
      "romanji_title": "Gunjou",
      "lyrics": "嗚呼いつもの様に 過ぎる日々にあくびが出る..."
    }
  ]
}

Setup a Docker Container

• Make sure that Docker Desktop is running.

• Run:

  docker compose up -d

Run an App

• Make sure that Dock Desktop and the morphemes-extractor container are running.

• Run:

  docker exec morphemes-extractor python main.py

• Data is saved to a Postgres database.