What features do you need in a technical translation software?

A robust technical translation software needs several key features to ensure accuracy, efficiency, and usability. The ability to recognize and accurately translate technical terms specific to various fields such as engineering, medicine, IT, etc. This might involve maintaining a specialized glossary or leveraging learning algorithms.

In technical translation software, terminology management is paramount. This involves creating, updating, and organizing specialized word databases for accurate translation. A robust software should enable easy import, export, editing, and accessibility of these databases during translation.

Terminology management is crucial. Before accuracy can be achieved there must be an understanding of the industry specific language as well as proper localization. Technical translation software needs to have the ability to input intelligence that will provide context and have room for consistent updating of the necessary baseline data like such as curated glossaries. Without context and cultural competence you will never obtain an accurate product.

My opinion might be unpopular, but I always prefer BAT (Brain Aided Translation) which beats any CAT tool. Skilled professionals have also a common sense for understanding the process. You can get any glossary, but if you don't understand how the whole thing works, it will be very challenging to make a good translation. For 30 years we feed translation memories with our original thoughts. Now they are making multiple connections of that data imposing a general "threat" that everything will be done by AI. Even our Brain Aided opinions are feeding AI memory right now. Translation "Industry" cannot exist without translators using their brain. Translation is a craft, not a commodity. Software helps, but you have to master the language as well.

Terminology management is the most crucial feature. Each field comes with its own terminology. And when dealing with subjects like philosophy, even each text has its own terminology. So it is crucial to keep an eye on the equivalents you have used for each term.

When I use SDL Trados, I recommend several key features for effective technical translation: ??Advanced Translation Memory: a robust translation memory system that accurately stores and retrieves previously translated segments to maintain consistency and efficiency across projects. ??Terminology Management: comprehensive terminology management tools to ensure accurate and consistent use of technical terms and specialized vocabulary. ??Integration Capabilities: seamless integration with other software tools and file formats commonly used in technical translation workflows to streamline processes and enhance productivity. ??Quality Assurance Checks: built-in quality assurance checks and validation tools to identify and correct errors.

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In addition to terminology management, translation memory is essential in technical translation software. This database stores past translations for future reuse, saving time and ensuring consistency. An effective software should facilitate creation, updating, and management of translation memories, and allow for easy leveraging during translation. Furthermore, it should support sharing and synchronization of translation memories among translators and clients.

The ability to handle large volumes of text efficiently, with fast processing times and minimal latency, to meet the demands of time-sensitive projects or high-volume translation workflows.

For quality assurance in technical translation software, it's imperative to have tools and features that aid in error detection and correction. These may include spell check, grammar check, terminology verification, consistency check, and error reporting functionalities. Such tools ensure accuracy and readability, meeting both industry standards and client expectations.

Combining the speed of machine translation with the accuracy of human review to expedite the translation process while maintaining high quality.