Their research spawned more interest in statistical machine translation and formed the foundation for today’s top machine translation systems at Microsoft and Google.
Neural Machine Translations & The Third Wave 2000-2016
In the 2000s, researchers worked to improve traditional statistical machine translation (SMT). Google Translate began as SMT but evolved into neural machine translation. Though the system has faced criticism for lack of transparency and biased translations, it has made efforts to address those issues while making significant contributions to NMT, which are bosnia and herzegovina mobile database discussed later in more detail.
Machine translation offers a number of advantages for your business, including cost savings, increased efficiency, and the ability to reach new markets. While there are still some challenges to be addressed, the accuracy of machine translation is constantly improving, making it an increasingly viable option for businesses of all sizes.
Cost Savings
Machine translation can be much cheaper than human translation, especially when translating large volumes of text. If you partner with the right machine translation company, you can save more in project management costs as well.