  This paper presents a manually annotated spelling error corpus for Amharic,
lingua franca in Ethiopia. The corpus is designed to be used for the evaluation
of spelling error detection and correction. The misspellings are tagged as
non-word and real-word errors. In addition, the contextual information
available in the corpus makes it useful in dealing with both types of spelling
errors.
