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MT users are limited to using engines that follow a single MT methodology for all language pairs and content types. Studies have shown that a one-size-fits-all approach in MT does not provide the user with optimal translation output. Users need a single access point to different MT engines following different MT methodologies that will produce the best quality output by selecting the right engine for the right language pair. Intellego seeks to further establish an open MT ecosystem, as we feel it is the best way to quickly provide high-quality MT services to users on the web at the lowest cost and in a way that engages the open source community. | MT users are limited to using engines that follow a single MT methodology for all language pairs and content types. Studies have shown that a one-size-fits-all approach in MT does not provide the user with optimal translation output. Users need a single access point to different MT engines following different MT methodologies that will produce the best quality output by selecting the right engine for the right language pair. Intellego seeks to further establish an open MT ecosystem, as we feel it is the best way to quickly provide high-quality MT services to users on the web at the lowest cost and in a way that engages the open source community. | ||
=== Intellego | === Intellego Platform === | ||
Intellego is a centralized machine translation platform that provides the following services: | Intellego is a centralized machine translation platform that provides the following services: | ||
#A unified web service for open source machine translation engines, allowing them front-end accessibility on the Web. This service will function as follows: | #A unified web service for open source machine translation engines, allowing them front-end accessibility on the Web. This service will function as follows: |