VTEX Determiner and Preposition Correction System for the HOO 2012 Shared Task
نویسنده
چکیده
This paper describes the system has been developed for the HOO 2012 Shared Task. The task was to correct determiner and preposition errors. I explore the possibility of learning error correcting rules from the given manually annotated data using features such as word length and word endings only. Furthermore, I employ error correction ranking based on the ratio of the sentence probabilities using original and corrected language models. Our system has been ranked for the ninth position out of thirteen teams. The best result was achieved in correcting missing prepositions, which was ranked for the sixth position.
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