Conversion of number expressions within noisy text into numerical representation

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 dataset and overall system resulted with 70.3% on real dataset.