This article explores the latest technology and trend that are shaping the industry of translation and localization. The article highlights the importance of neural machine translation, natural language processing, multimedia localization, and crowdsourcing for efficient and accurate translations.
Google Translate is a machine translation service combining machine learning algorithms and statistical models with 100 million active users, but its accuracy is limited by lack of context, ambiguity, cultural differences, and the quality of input text; it can be effectively used by following tips such as using proper input text and considering context, but it is not suitable for professional or critical translations.
This article emphasizes the challenges that CTOs of fast-growing tech companies often face with regard to localization and provides a clear picture of how locize can help overcome those challenges by providing real-time translation delivery, advanced features and collaboration tools, and integrations with existing tools and workflow, which are all important factors that a CTO might consider when evaluating a localization platform.
There are a lot of hidden costs when you're investigating your software localization process.
This article will help the work of tech/team leaders and engineering managers with a smart advice for the localization topic.
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