Secil Arslan

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In this work, we propose a method to detect spelling of numbers from noisy text and efficiently convert them into their numerical representations. We design a greedy algorithm that detects spanning of numbers and use a fast and memory efficient data structure based on word graphs for digit conversion. Our proposed data structure scored 88.2% on synthetic(More)
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