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Type or paste a Arabic text into the input box above.
Select a POS analyzer from the left column, then click the "Go" button.
| Example Arabic Text for POS Analysis |
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زار الرئيس المصري عبد الفتاح السيسي العاصمة الإدارية الجديدة الأسبوع الماضي، حيث التقى بوفد من الأمم المتحدة لمناقشة التنمية المستدامة في أفريقيا.
فبسياراتهم الجديدة، سافروا إلى مكة المكرمة وأدوا مناسك العمرة.
كَتَبَ الطّالِبُ الدَّرْسَ في المَدْرَسَةِ، ثُمَّ قَرَأَهُ بِصَوْتٍ عالٍ.
قمت بتحميل تطبيق زوم (Zoom) على جهاز الكمبيوتر الخاص بي لتسجيل الاجتماع أونلاين.
A part of speech is a category that describes the role a word plays in a sentence.
Improving Arabic 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.
- Arabic Part-of-Speech
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UPOS of Arabic
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 Arabic
XPOS (Detailed POS) is a Fine-Grained tag specific to the Arabic language and the Arabic 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 Arabic 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 Arabic 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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