Word extractions

[flazouh]

Hi, I came accross your great package and had a question,
It seems that when extracting words from "안녕하세요. 어떻게 지내세요?" I get

{
  "words": [
    [
      [
        "안녕",
        "NNG"
      ],
      [
        "하",
        "XSV"
      ],
      [
        "세요",
        "EFN"
      ],
      [
        ".",
        "SF"
      ]
    ],
    [
      [
        "어떻",
        "VA"
      ],
      [
        "게",
        "ECD"
      ]
    ],
    [
      [
        "지내",
        "VV"
      ],
      [
        "세요",
        "EFN"
      ],
      [
        "?",
        "SF"
      ]
    ]
  ]
}

With :

def get_tokens(text):
    tokens = kkma.pos(text)
    return {"words": tokens}

But how is that extracting words, I don't understand, isn't the Korean phrase "안녕하세요" typically split into two main tokens:

"안녕" (Annyeong) - This is a noun that means "peace" or "well-being".
"하세요" (Haseyo) - This is the honorific form of the verb "하다" (hada), which means "to do". When used after a noun in this way, it makes the noun into a polite, inquisitive phrase.
So, when combined, "안녕하세요" literally translates to something like "Are you peaceful?" or "Is peace being done?". However, it is commonly used to mean "Hello" in English ?