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Type or paste a Korean text into the input box above.
Select a POS analyzer from the left column, then click the "Go" button.
| Example Korean Text for POS Analysis |
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애플이 영국의 스타트업을 10억 달러에 인수하는 것을 알아보고 있다.
자율주행 자동차의 손해 배상 책임이 제조 업체로 옮겨 가다.
샌프란시스코 시가 자동 배달 로봇의 보도 주행 금지를 검토 중이라고 합니다.
런던은 영국의 수도이자 가장 큰 도시입니다.
A part of speech is a category that describes the role a word plays in a sentence.
Improving Korean language learning using Part-of-Speech (POS) tagging involves leveraging syntactic and morphological information to understand sentence structure, disambiguate word meanings, and master inflectional rules.
- Korean Part-of-Speech
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UPOS of Korean
UPOS (Universal POS) is a Coarse-grained and simplified tag that work consistently across all languages. They are shown in the following format.
Headword lemma UPOS DEP 👤NER
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XPOS of Korean
XPOS (Detailed POS) is a Fine-Grained tag specific to the Korean language and the Korean training data. They are shown in the following format.
Headword lemma XPOS DEP 👤NER
Headword : Headwords are displayed in bold.
lemma : The dictionary form or "root" of a Korean word. It removes grammatical variations. The lemma is only displayed if the headword is not equal to the lemma.
UPOS : Universal Part-of-Speech. A coarse-grained, standardized tag (like NOUN, VERB, or ADJ) designed to work across all human languages. See examples
XPOS : Language-Specific Part-of-Speech. A fine-grained tag specific to a particular Korean language’s grammar (e.g., distinguishing a plural noun from a singular noun, etc). See examples
DEP : Dependency. The grammatical relationship between words. It shows how words depend on one another, such as identifying which word is the subject (nsubj) or the direct object (obj). See examples
👤NER : Named Entity Recognition. The identification of ""real-world"" entities within the text, such as People (PER), Locations (GPE), Organizations (ORG), or Dates. See examples
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