Supporting Arabic Cross-Lingual Retrieval Using Contextual Information

Ahmed, Farag; Nürnberger, Andreas; Nitsche, Marcus

doi:10.1007/978-3-642-21353-3_4

Cited by 3 publications

(2 citation statements)

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“…A great proportion of Arabic textual documents, like most abjads, are generally written without diacritics (Elshafei, Al-Muhtaseb and Alghamdi 2006a; Mohammed and Kübler 2009; Haertel, McClanahan and Ringger 2010; Ahmed, Nürnberger and Nitsche 2011). The situation is quite different when one considers alphabetic languages that have diacritics in their orthography.…”

Section: Introductionmentioning

confidence: 99%

“…The above situations present a serious challenge to processing by machine, for searching, retrieval, summarization, translation, text-to-speech, spell-checking and grammar-correction among others (Elshafei et al 2006a; Al Badrashiny 2009; Ahmed, Nürnberger and Nitsche 2011; Adegbola and Odilinye 2012) and chat-to-speech (Zainkó et al 2010). Several approaches have been applied to the task of restoring diacritics to text whenever they are absent whether by writing practice or transmission distortion or by limitation of input method.…”

Section: Introductionmentioning

confidence: 99%

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A survey of diacritic restoration in abjad and alphabet writing systems

2017

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A diacritic is a mark placed near or through a character to alter its original phonetic or orthographic value. Many languages around the world use diacritics in their orthography, whatever the writing system the orthography is based on. In many languages, diacritics are ignored either by convention or as a matter of convenience. For users who are not familiar with the text domain, the absence of diacritics within text has been known to cause mild to serious readability and comprehension problems. However, the absence of diacritics in text causes near-intractable problems for natural language processing systems. This situation has led to extensive research on diacritization. Several techniques have been applied to address diacritic restoration (or diacritization) but the existing surveys of techniques have been restricted to some languages and hence left gaps for practitioners to fill. Our survey examined diacritization from the angle of resources deployed and various formulation employed for diacritization. It was concluded by recommending that (a) any proposed technique for diacritization should consider the language features and the purpose served by diacritics, (b) that evaluation metrics needed to be more rigorously defined for easy comparison of performance of models.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%