Web Interface for natural language processing engines
Tonkin, Aleksandar Svetoslavov
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This thesis presents a graphical user interface that simplifies the use of natural language processing engines. Until now the use of the implemented part-of-speech task and other natural language processing tasks were possible only through command line interface. This restriction of the current interface was the reason, because of which the users were required to have both programming and scripting knowledge and experience. In addition to that, the preparation of the input data, used to feed the engine, and output data from the tasks had to be handled manually. The problem was solved by developing a web-based application and integrating OpenNLP engine and its part-of-speech tagging task. Hence, the chosen solution provides portability and accessibility from various locations. The user interface simplifies the working process for users with little or no technical knowledge and experience. Moreover, the application facilitates and guides the users through the task’s process flow. It also allows them to automatically preprocess their data to a format required as an input for the engine. After that, the users can simply follow the stages for the rest of the task and use the engine. Moreover, the application saves the data at the end of every stage of the task, which does not enroll the user to execute the whole task at once. Also the data used as an input and output from every stage of the task is stored automatically on the server, which provides reusability. And last, the application has modular structure, which provides the ability to extend the amount of tasks and engines according to the needs of the users. The application provides simple interface, automated process and file handling. However the speed and accessibility of the application depends on the connection and the load on the server. The current software can be expanded with additional engines and tasks, but only if they support the current file and system structure. In the future some parts of the user interface and the back-end structure could be improved, as well as some more complexed tasks and different engines could be implemented.