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Among commercial machine translation systems, the LOGOS system is one of the largest and most powerful. It is capable of processing various text documents in different formats with ease and can translate them into different target languages quickly. The resulting translations are of high quality, but they can also be post-edited by human translators, if necessary. This results in significant time and cost savings for users, especially as the use of different document filters maintains the format of the original document.
Currently, the source languages available are German and English, with the target languages for English including the major European languages, as mentioned above. However, additional language pairs are currently in development. The system "can learn" in the sense that trained users can easily maintain their own terminologies and dictionaries, including establishing their own user dictionaries. This is crucial when dealing with subject areas that require specific terminologies. The system already includes a hierarchical system of specialized dictionaries, which makes it a "universal problem-solving machine" capable of processing any text in any subject area. Fine-tuning or specialization for specific subject areas can be achieved through the use of appropriate terminology work.
The LOGOS system has been developed over 30 years to its present form, which required enormous effort and resources. However, the system's open-source nature can make it accessible for other languages as well. The LOGOS engine provides a general platform and base system for integrating language-specific resources, reducing the effort required to develop base systems from scratch. This open-source approach enables further development and improvement of the base system in an open community process in which everyone can participate and profit. Additionally, the availability of the source code allows for the integration of new modules and components into the overall system, resulting in more innovative ways of combining it with other software systems.
The latest release has been ported from Windows and Oracle to Linux and PostgreSQL, adding to its versatility. Scientifically, a large high-quality, open-domain translation system like LOGOS can aid further development of MT systems, for instance, by providing evaluation base lines for new directions and approaches. The availability of the LOGOS system as open-source has great potential for improving the development of machine translation systems in a cost-effective and innovative way.
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