ArabScribe
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.
NYU Abu Dhabi
Robust Dictionary Lookup in Multiple Noisy Orthographies
dictionary
Arabic Natural Language Processing Workshop
Lingliang Zhang, Nizar Habash and Godfried Toussaint
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.
