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Post processing is an important part of any document processing system. There are two ways of post processing. First word level correction and second sentence level correction in document. The word level is performed in two ways first, finding error and finding dictionary by most similar word. That is called dictionary based approach. Another method to find most probable word is known as probabilistic approach. In order to generate the probabilistic model which includes unigram, bigram, trigram, online resources from various Gujarati newspaper websites are used. The proposed system will use models like Naïve Bayes and Hidden Markov Model to correct word level error. The system will be tested on synthetic dataset which is generated by adding random word level error in the actual document.

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Bridges variety in period from some meters to several kilometres. They are among the most important structures built by way of guy. The demands on layout and on materials are very high. A bridge needs to be sturdy enough to assist its own weight further due to the fact the weight of the individuals and cars that use it. The shape additionally must face up to several natural occurrences, including earthquakes, sturdy winds, and changes in temperature. Numbers of bridges have a concrete, steel, or wood framework & an asphalt or concrete route on which people and cars tour. The analysis of a 3-span lane T-beam bridge is nished by various the span of 10m, 15m, 18m, with various span/Depth ratio and quantity of longitudinal & cross girders using software program Staad Pro v8i. To gain most bending second and shear force in girder, most Stresses in slab and maximum response and second on the guide, the bridge fashions are subjected to the IRC magnicence AA Tracked loading device and concluded that with the increase in shear force, bending moment and deection inside the girder and version of stresses in slab.