Artificial intelligence(AI) has contributed to a considerable amount of change in the translation and localization industry. The level of accurate and efficient localized content currently offered by most translation management systems is drastically different from what was possible in the past.
Let’s take a look at how this technology is changing the localization industry landscape.
Role of machine learning and deep learning in AI-powered localization.
Machine learning algorithms can track the patterns in the way content is written, spoken and translated. AI uses ML to detect these patterns, which enables it to accurately create localized content. The more the technology is exposed to localization processes, the more accurate the ML algorithms will become over time.
Deep learning(DL) is another similar aspect of AI that replicates a certain function of the human brain. In this case, DL technology can detect changes in nuances of a language in real-time and reply accurately with an accurate solution.
How Artificial Intelligence Is Changing Localization
AI is capable of localizing content during its translation using the power of ML and DL. Instead of simply translating just words and phrases which leads to possible loss of context, the essence and tone of the content is automatically understood and maintained.
Listed below are 4 ways in which AI is transforming the localization industry:
1. Artificial Intelligence Is Making Localization More Authentic
AI-powered technologies can chart the evolution of language and detect if translated words have become outdated or share a similar meaning with other words, changing the meaning of the entire phrase. They can also choose to use phrases, idioms and other sayings that are language-specific. The excellent thing about AI is that it is able to track and accommodate language changes even at the regional level. Additionally, AI can be used to accurately translate unconventional languages with uncommon scripts such as those that read from right to left.
2. Artificial Intelligence Allows Localization to Stay Current
AI functions in real-time. It is able to process vast quantities of information, extract data from analytics reports and detect speech and writing patterns. After which, ML and DL are utilized to derive meaning and make sense of the data collected.
By going through millions of data records, AI is able to detect and highlight any new slang that has become common in a particular language. This ensures that any localized content will automatically show the most current language patterns. In the same way, any edits in the spelling or grammatical nuances particular to different languages will also be detected.
3. Artificial Intelligence Is Enabling Localization To Be Considerably Faster and More Efficient
Traditional localization tools might be an excellent way to translate content accurately, but they tend to be quite slow. AI-enabled localization significantly decreases the time it takes to localize content effectively. As AI can complete the localization tasks faster, companies can localize at a lower cost. In fact, it is more sensible and very common nowadays for a website that needs to be localized for multiple geographical regions to leverage AI for their needs. As AI is capable of detecting the most recent updated versions of languages, requires less time to be spent by human editors, and the localized content can be ready for market much quicker.
4. Artificial Intelligence Can Also Be Leveraged to Localize Images and Audio
The ability to localize text but images and speech (audio) as well, is quite possibly one of the most key developments within the field of AI. The localization of such mediums like image and audio allows websites to become more accessible to all varieties of visitors. Using AI, it becomes significantly easier for brands to guarantee that all their content is completely and accurately localized to suit their target audience.