On Arabic Transliteration

By Nizar Habash, A. Soudi, Tim Buckwalter. 2007

388 citations recorded by the source corpus.

Subfields: Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/3d91ffe07765bfec44306155419c132d50d0b59c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Language and Linguistics

1. Sarah Alkuhlani
2. Ali Farghaly
3. Khaled Shaalan
4. Houda Bouamor
5. Nizar Habash
6. Bashar Alhafni

Citations in the corpus

• Book Reviews: Introduction to Arabic Natural Language Processing by Nizar Y. Habash (2010, methodology): “However, there are some common important exceptions [4, 42], which we summarize next.”
• Arabic Natural Language Processing: Challenges and Solutions (2009, methodology): “The BAMA became the foundation for subsequent ANLP systems and expedited the de­velopment of an Arabic NLP system for machine translation and information retrieval during the last few years.”
• The MADAR Arabic Dialect Corpus and Lexicon (2018, methodology): “The MSA and dialectal sentences are given along with their transliterations in the Habash-Soudi-Buckwalter scheme (Habash et al., 2007).”
• A Corpus for Modeling Morpho-Syntactic Agreement in Arabic: Gender, Number and Rationality (2011, methodology): “A typical example of this phenomenon is the class of broken 2 Arabic transliteration is presented in the Habash-Soudi-Buckwalter (HSB) scheme (Habash et al., 2007): (in alphabetical order) Abt θ jHxdðrzsšSDT ˇD ςγ fqklmnhwy and the additional symbols: ’ (cid:90) , Â (cid:13) (cid:64) , ˇ A (cid:64)…”
• Gender-Aware Reinflection using Linguistically Enhanced Neural Models (2020, background): “Arabic transliteration is in the HSB scheme (Habash et al., 2007).”
• Identifying Broken Plurals, Irregular Gender, and Rationality in Arabic Text (2012, methodology): “Arabic transliteration is presented in the Habash-SoudiBuckwalter (HSB) scheme (Habash et al., 2007): (in alphabetical order) AbtθjHxdðrzsšSDTĎςγfqklmnhwy and the additional symbols: ’ Z, Â @, Ǎ @ , Ā @, ŵ ð', ŷ Zø', h̄ è, ý ø.”
• Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation (2016, methodology): “Arabic transliteration is presented in the Habash-SoudiBuckwalter scheme (Habash et al., 2007).”