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Type or paste a Romanian text into the input box above.
Select a POS analyzer from the left column, then click the "Go" button.
| Example Romanian Text for POS Analysis |
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Apple plănuiește să cumpere o companie britanică pentru un miliard de dolari.
Municipalitatea din San Francisco ia în calcul interzicerea roboților curieri pe trotuar.
Londra este un oraș mare în Regatul Unit.
Unde ești?
Cine este președintele Franței?
Care este capitala Statelor Unite?
Când s-a născut Barack Obama?
A part of speech is a category that describes the role a word plays in a sentence.
Improving Romanian 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.
- Romanian Part-of-Speech
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UPOS of Romanian
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 Romanian
XPOS (Detailed POS) is a Fine-Grained tag specific to the Romanian language and the Romanian 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 Romanian 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 Romanian 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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