Name: ArabScribe
Description: The ArabScribe dataset contains 10,000 transcriptions of Arabic words with both Roman and Arabic keyboards based on audio impressions of native and non-native speakers of Arabic.
Provider: NYU Abu Dhabi
Paper Title: Robust Dictionary Lookup in Multiple Noisy Orthographies
Tasks: dictionary
Venue Name: Arabic Natural Language Processing Workshop
Authors: Lingliang Zhang, Nizar Habash and Godfried Toussaint
Abstract: We present the MultiScript Phonetic
  Search algorithm to address the problem
  of language learners looking up unfamiliar words that they heard. We apply it
  to Arabic dictionary lookup with noisy
  queries done using both the Arabic and
  Roman scripts. Our algorithm is based on
  a computational phonetic distance metric
  that can be optionally machine learned. To
  benchmark our performance, we created
  the ArabScribe dataset, containing 10,000
  noisy transcriptions of random Arabic dictionary words. Our algorithm outperforms
  Google Translate’s “did you mean" feature, as well as the Yamli smart Arabic
  keyboard.
  