Ellogon: A New Text Engineering Platform
Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras, Ion, Androutsopoulos, Constantine D. Spyropoulos

TL;DR
Ellogon is a versatile, cross-platform text engineering environment supporting multiple languages, designed to facilitate NLP research and language system development with a modular, Unicode-compatible infrastructure.
Contribution
The paper introduces Ellogon, a new multi-lingual, cross-platform text engineering platform with a modular architecture and comprehensive features for managing and visualizing textual data.
Findings
Supports full Unicode and multiple languages
Features a modular, TIPSTER-based infrastructure
Reduces hardware requirements for users
Abstract
This paper presents Ellogon, a multi-lingual, cross-platform, general-purpose text engineering environment. Ellogon was designed in order to aid both researchers in natural language processing, as well as companies that produce language engineering systems for the end-user. Ellogon provides a powerful TIPSTER-based infrastructure for managing, storing and exchanging textual data, embedding and managing text processing components as well as visualising textual data and their associated linguistic information. Among its key features are full Unicode support, an extensive multi-lingual graphical user interface, its modular architecture and the reduced hardware requirements.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Web Applications and Data Management
