Abstract
In this paper, we present phonetic encoding functions that play the role of hash functions in the indexation of an Arabic dictionary. They allow us to answer approximate queries that, given a query word, ask for all the words that are phonetically similar to it. They consider the phonetic features of the standard Arabic language and involve some possible phonetic alterations induced by specific habits in the pronunciation of Arabic.
We propose two functions, the first one is called the ”Algerian Dialect Refinement” and it takes into account phonetic confusions usually known to the Algerian people while speaking Arabic; and the second one is named the ”Speech Therapy Refinement” and it examines some mispronunciations common to children.
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Ousidhoum, N.D., Bensaou, N. (2013). Towards the Refinement of the Arabic Soundex. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2013. Lecture Notes in Computer Science, vol 7934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38824-8_30
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DOI: https://doi.org/10.1007/978-3-642-38824-8_30
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