KALIMAT a Multipurpose Arabic Corpus
We are pleased to announce the immediate availability of KALIMAT 1.0,
KALIMAT is an Arabic natural language resource that consists of:
1) 20,291 Arabic articles collected from the Omani newspaper Alwatan by (Abbas et al. 2011).
2) 20,291 Extractive Single-document system summaries.
3) 2,057 Extractive Multi-document system summaries.
4) 20,291 Named Entity Recognised articles.
5) 20,291 Part of Speech Tagged articles.
6) 20,291 Morphologically Analyse articles.
The data collection articles fall into six categories:
culture, economy, local-news, international-news, religion, and sports.
The process of creating KALIMAT was applied to the entire data collection (20,291 articles).
Features
- corpus
- natural language processing
- resources
- Arabic NLP
- NLP
- Arabic
- Morphological Analyser
- Named Entity Recognition
- Part of Speech Tagger
- Summarization
- Morphosyntactic Analyser