Timestamped Arabic corpus
The Arabic Timestamped Corpus is an Arabic corpus made up of news articles gained from their RSS feeds. The corpus consists of news articles gained from newsfeeds created by Jozef Stefan Institute (JSI), Slovenia (Trampus et al 2004). The JSI Timestamped Arabic corpus is a clean, continuous, real-time aggregated stream of semantically enriched news articles from RSS-enabled sites across the world. The corpus was updated with new texts daily and grew by ca 80 million words each month.
The last texts were added in November 2022 when the project of newsfeeds delivered by JSI was terminated.
For more information, see our Timestamped web Corpus documentation page.
Part-of-speech tagset
The Timestamped Arabic corpus was tagged by the Stanford Arabic parser using the following POS tagset summary.
Tools to work with the Arabic Timestamped corpus
A complete set of Sketch Engine tools is available to work with this Arabic corpus to generate:
- word sketch – Arabic collocations categorized by grammatical relations
- thesaurus – synonyms and similar words for every word
- keywords – terminology extraction of one-word units
- word lists – lists of Arabic nouns, verbs, adjectives etc. organized by frequency
- n-grams – frequency list of multi-word units
- concordance – examples in context
- trends – diachronic analysis automatically identifies neologisms and changes in use
- text type analysis – statistics of metadata in the corpus
Search the Arabic corpus
Sketch Engine offers a range of tools to work with this Timestamped Arabic corpus.
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