The progress is inspiring, and the possibilities are endless. A few years from now, you’ll have many more options to connect with audiences around the globe.
Machine translation is a permanent fixture in the language sector. Businesses around the globe have embraced the opportunities made available by machines. Still, some people balk at the thought of trusting artificial intelligence, but that too will likely change.
As our world grows ever more interconnected, the demand for fast, accurate translation is soaring. The global machine translation market is projected to reach $1.62 billion by 2028, up from $718.9 million in 2021. This growth is made possible by advancements in machine translation technology and it’s fueled by a desire to serve customers better through albania mobile database localization. The best machine translation software on the market today can help you serve more people in more places.
What is Machine Translation?
Machine translation (or MT for short) leverages computer programs to translate text from one language to another. The technology has been around since the 1950s, but has become more commercially viable with the rise of machine learning and artificial intelligence.
There are 3 types of machine translation:
Rules-based machine translation (RBMT) came first and relies on bilingual dictionaries and linguistic rules written by humans. It usually translates one word at a time which can result in awkward sentence structures and other inaccuracies. While RBMT can be useful in some instances, it has many disadvantages including the need for extensive human involvement. This type of machine translation has largely been eclipsed by the other two models.
Marketers and businesses can use NMT to translate UX and market research documents, such as surveys or customer reviews. Sentiment analysis helps you understand the overall sentiment of a text. Additionally, NMT helps identify key phrases or terms for your market research.