You can use Machine Translation in numerous fields, here are some examples of common use cases: With document translation or live chat real-time translation, Systran helps your employees overcome the language barrier while respecting the highest standards of data privacy. Systran provides global companies with neural machine translation tools that enable secure communication and team collaboration worldwide. Top 10 Machine Translation API: Google Cloud In 2012, Google announced that Google Translate translates roughly enough text to fill 1 million books in one day. More innovations during this time included MOSES, the open-source statistical MT engine (2007), a text/SMS translation service for mobiles in Japan (2008), and a mobile phone with built-in speech-to-speech translation functionality for English, Japanese and Chinese (2009). The second free translation service on the web was Lernout & Hauspie's GlobaLink. Various computer based translation companies were launched, including Trados.īy 1996, MT on the web started with SYSTRAN offering free translation of small texts (1996). MT became more popular after the advent of computers. Beginning in the late 1980s, as computational power increased and became less expensive, more interest was shown in statistical models for machine translation. A Georgetown University MT research team followed with a public demonstration of its Georgetown-IBM experiment system in 1954.ĭuring the 60s, researchers continued to study MT but real progress was really slow. In 1951, Yehoshua Bar-Hillel was the first researcher in Machine Translation. Current machine translation software often allows for customization by domain or profession, improving output by limiting the scope of allowable substitutions. There are three types of machine translation methods: rule-based, statistical and neural networks. Machine Translation (MT) or automated translation is a process when a computer software translates text from one language to another without human involvement. You are a solution provider and want to integrate Eden AI? Contact us at : this article, we are going to see how we can easily integrate a Machine Translation engine in your project and how to choose and access the right engine according to your data. We allow you to test and use in production a large number of AI engines from different providers directly through our API and platform. This article is brought to you by the Eden AI team.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |