Arabic Spelling Correction using Supervised Learning

WS 2014 Youssef HassanMohamed AlyAmir Atiya

In this work, we address the problem of spelling correction in the Arabic language utilizing the new corpus provided by QALB (Qatar Arabic Language Bank) project which is an annotated corpus of sentences with errors and their corrections. The corpus contains edit, add before, split, merge, add after, move and other error types... (read more)

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