Part of Speech for a Croatian text

Type or paste a Croatian text into the input box above.
Select a POS analyzer from the left column, then click the "Go" button.

Example Croatian Text for POS Analysis ⬆️
Ovo je rečenica.
Kako se popravlja auto?
Zagreb je udaljen od Ljubljane svega 150 km.
Nećete vjerovati što se dogodilo na ovogodišnjem festivalu!
Budućnost Apple je upitna nakon dugotrajnog pada vrijednosti dionica firme.
Trgovina oružjem predstavlja prijetnju za globalni mir.
A part of speech is a category that describes the role a word plays in a sentence. Improving Croatian 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.
Croatian Part-of-Speech
UPOS of Croatian
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

XPOS of Croatian
XPOS (Detailed POS) is a Fine-Grained tag specific to the Croatian language and the Croatian 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 Croatian 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 Croatian 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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