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Ellogon can be used either as an NLP integrated development environment (IDE) or as a library that can be embedded to foreign applications. To achieve this, Ellogon proposes and implements a modular architecture with four independent subsystems:
- A highly efficient core developed in C, which implements an extended version of the TIPSTER data model. Its main responsibility is to manage the storage of the textual data and the associated linguistic information and to provide a well-defined programming interface (API) that can be used in order to retrieve/modify the stored information.
- An object oriented C++ API which increases the usability of the C core API. This object oriented API is exposed in a wide range of programming languages, including C++, Java, Tcl, Perl and Python.
- An extensive and easy to use graphical user interface (GUI). This interface can be easily tailored to the needs of the end user.
- A modular pluggable component system. All linguistic processing within the platform is performed with the help of external, loaded at runtime, components. These components can be implemented in a wide range of programming languages, including C, C++, Java, Tcl, Perl and Python.