@inproceedings{zhang-etal-2017-robust,
title = "Robust Dictionary Lookup in Multiple Noisy Orthographies",
author = "Zhang, Lingliang and
Habash, Nizar and
Toussaint, Godfried",
editor = "Habash, Nizar and
Diab, Mona and
Darwish, Kareem and
El-Hajj, Wassim and
Al-Khalifa, Hend and
Bouamor, Houda and
Tomeh, Nadi and
El-Haj, Mahmoud and
Zaghouani, Wajdi",
booktitle = "Proceedings of the Third {A}rabic Natural Language Processing Workshop",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-1315",
doi = "10.18653/v1/W17-1315",
pages = "119--129",
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.",
}
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%0 Conference Proceedings
%T Robust Dictionary Lookup in Multiple Noisy Orthographies
%A Zhang, Lingliang
%A Habash, Nizar
%A Toussaint, Godfried
%Y Habash, Nizar
%Y Diab, Mona
%Y Darwish, Kareem
%Y El-Hajj, Wassim
%Y Al-Khalifa, Hend
%Y Bouamor, Houda
%Y Tomeh, Nadi
%Y El-Haj, Mahmoud
%Y Zaghouani, Wajdi
%S Proceedings of the Third Arabic Natural Language Processing Workshop
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F zhang-etal-2017-robust
%X 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.
%R 10.18653/v1/W17-1315
%U https://aclanthology.org/W17-1315
%U https://doi.org/10.18653/v1/W17-1315
%P 119-129
Markdown (Informal)
[Robust Dictionary Lookup in Multiple Noisy Orthographies](https://aclanthology.org/W17-1315) (Zhang et al., WANLP 2017)
ACL