nschneid/arabic-tagger
AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training
This tool helps researchers and analysts automatically identify specific entities, like names of people, places, or organizations, within Arabic text. You provide raw Arabic text, and it outputs the text with recognized entities highlighted or tagged. It's designed for anyone working with large volumes of Arabic language data, such as academics studying Arabic linguistics or researchers analyzing Arabic content from sources like Wikipedia.
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Use this if you need to automatically extract and categorize named entities from large collections of Arabic text.
Not ideal if you're working with languages other than Arabic or need to perform complex natural language processing tasks beyond named entity recognition.
Stars
43
Forks
19
Language
Java
License
GPL-3.0
Category
Last pushed
Aug 28, 2013
Commits (30d)
0
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