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.
What is the difference between globalization and localization, what does each include and what are pros and cons.