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The Bracket Based Arabic Annotation (B2A2) scheme provides users with the ability to manually tag Arabic text with Part-of-Speech (POS) markers.
B2A2 introduces a new approach that enables tagging Arabic text using morphology aware tag markers.
Different types of tag markers can be incorporated e.g. grammatical, functional, semantic, linguistic markers.Tag-sets can be configured (modified/extended) by accessing the related table in the supporting database,
The user can upload text files where sentences are normalized and inserted into the supporting database.
Multiple narratives can be listed in the text file, where narratives are separated using a # symbol.
The text upload process entitles the initial (POS) tagging of uploaded text using Stanford (POS) tagger.
The user can later modify and extend the initial tagging.
The resultant annotations are stored in the supporting database. These results can be exported to excel or text files for further processing.
Features
- Part-of-Speech Tagging (POS)
- Arabic Text Annotation
- Morphology Aware Tagging
- Arabic Natural Language Processing (ANLP)
- Stanford (POS) tagging
- Natural Language Processing (NLP)
- ANLP
Project Samples
