TalkBank Persian: Persian Corpus from the Web

The TalkBank Persian corpus is a Persian corpus made up of blog posts from various Farsi blog sites. Texts for this Persian corpus was collected by Shlomo Argamon‘s research group at IIT. They shared them with Brian MacWhinney’s group at Carnegie Mellon as part of the IARPA metaphor program.

Note: In this description, “Persian” and “Farsi” are considered synonyms when referring to the language.

Part-of-speech tagset

The TalkBank Persian corpus was tagged by TreeTagger using Penn TreeBank tagset with Sketch Engine modifications.

More material from other blog and news sources will be added in due course, with the eventual, combined corpus being called “Farsi-CMU”.

The Farsi text pre-processing tools from Uppsala University were then applied to normalize spacing between Farsi words and their affixes. CMU’s Farsi text normalizer was then applied, to remove Arabic and Persian diacritics and normalize variant forms of the Farsi letter “ye” to a single Unicode representation. Finally, CMU applied its Farsi part-of-speech tagger, created by TurboTagger (from Noah Smith’s TurboParser), which was trained on the part of speech tags in the Persian dependency treebank from Dadegan University with a few minor modifications.

The Sketch Grammar was developed by Benjamin Mericli at Carnegie Mellon.

Tools to work with the Persian corpus

A complete set of tools is available to work with this Persian corpora to generate:

  • word sketch – Persian collocations categorized by grammatical relations
  • thesaurus – synonyms and similar words for every word
  • word lists – lists of Persian nouns, verbs, adjectives etc. organized by frequency
  • n-grams – frequency list of multi-word units
  • concordance – examples in context


Rasooli, M. S., Kouhestani, M., & Moloodi, A. Development of a Persian syntactic dependency treebank. In Proceedings of NAACL-HLT, 2013, pp. 306–314.

Search the Persian corpus

Sketch Engine offers a range of tools to work with this Persian corpus from blog posts.


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