| Challenge: | a corpus-driven spelling corrector for Amharic is ported to other languages with little effort . a term list is used for spelling errors and can handle rare terms, proper nouns and neologisms. |
| Approach: | They propose an automatic spelling corrector for Amharic, the working language of the Federal Government of Ethiopia. |
| Outcome: | The proposed method outperforms baseline systems in Amharic and English . it has smoothed language model, generalized error model and ability to take into account context of misspellings. |
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Arturo Oncevay, Gerardo Cardoso, Carlo Alva, César Lara Ávila, Jovita Vásquez Balarezo, Saúl Escobar Rodríguez, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Juan López Bautista, Nimia Acho Rios, Remigio Zapata Cesareo, Héctor Erasmo Gómez Montoya, Roberto Zariquiey
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A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check (D18-1)
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| Challenge: | Chinese spelling check (CSC) is a challenging but meaningful task that serves as a preprocessing in many natural language processing(NLP) applications. |
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