Expand your Possibilities and venture into a limitless world with the influence of AI on Localization.
Before venturing, let us be fluent with traditional translation and localization; and its transformation to digital adaptation via AI Localization.
Traditional localization has been refined over the years with advanced techniques. It is the method of localizing any language, of a total of 7000 languages available worldwide, to break cultural and communication barriers to .ske something readily available to a large audience base.
Commonly known traditional localization methods include local SEO and campaigning in regional languages. Management teams dedicate hours on end to research, analyze, and find the perfect way to be diverse.
On the other hand, practices of localization in artificial intelligence happen over a shorter period.
Artificial intelligence has made its advancement in multiple industries of the world. We have eCommerce platforms, institution models, educational learning management systems, and much more that rely on AI-powered features for quicker turnaround time. But localization is not a feature- it forms the basis over which an organization can increase;
- Organic traffic
- Sales revenue
- Conversion rates
- Return on investment
- Brand awareness
- Customer satisfaction
A Holistic Approach to AI Localisation
We need to bring to attention that although artificial intelligence assists in localization, through translation, subbing, finding data solutions, or generating the content, we believe in increasing the measure of checking work done by AI for quality assurance.
However, with the introduction of data solutions for artificial intelligence, there are even lesser human intervention requirements. It trains itself to process and check for high-quality data only.
Example: Subtitles
It is not wise to rely entirely on artificial intelligence for captioning or subtitling.
When you watch YouTube videos, some of them have only speech subtitles. They could be in different languages. Artificial intelligence can identify the language and translate it before adding captions. What about the background sounds?
When translators sit with captioning or subtitling work, they include captions to improve the video-watching experience through speaker indicators, background noises, and other necessary details to help people that are truly hard of hearing.
Records show the accuracy rate of subtitling and closed captioning by experienced translators to be 99%. This measurement is based on the quality of subtitling, vocabulary, grammatical accuracy, punctuation, and use of phrases. Even a 95% accuracy is insufficient to pass the localization test since it does not serve the desired purpose.
Now consider using AI to localize not only captions but all types of generated content. A company might rely on it, but how often do they check its accuracy levels? In-depth localization representing industry standard quality and high-level accuracy is yet to be guaranteed for AI-powered content.
Now that we have a comprehensive elaboration of the uses of AI and how human intervention is still a thing, it is time to dive into the details of the working of artificial intelligence on localization.
Read More – Why is Open AI & its latest release ChatGPT 3.5 a Game Changer?
Disciplines used for AI Localization
Natural Language Processing
Computers don’t automatically know languages. They extract a great deal of information through constant learning. To identify and use a language, it needs the NLP (Natural Language Processing) subfield that trains AI and uses insights from the content to organize, learn, understand, and use gathered information for localization in artificial intelligence in as many languages as we want.
Machine Learning
It is a technology that uses data to find algorithms and patterns to educate itself and use these results in the smart localization process. With each use, your AI localization process becomes sharper.
Deep Learning
Every computer trains itself occasionally with observable results from individuals. It absorbs information received from people and uses deep learning technology to do the same in a localization procedure. In simple language- deep learning allows AI Localization to mimic humans and respond with smarter solutions than the person since it is backed by machine learning and natural language processing.
Read More – Importance of Localization
How does AI impact Localization?
Refining Machine Translation (MT)
How many times have you headed over to Google translator sentence? At least a few times may be for a social media post, textbook, or movie you have pirated from torrent. Since its establishment in 1950, AI-generated translation has come a long way. Today, it is possible for a program to translate an entire movie in just a couple of minutes.
As mentioned earlier, since this translation is not entirely reliable, we don’t consider it the best quality localization procedure. Experienced linguistics still reviews it for hours in great detail to ensure at least 99% accuracy for localization in artificial intelligence.
We expect data solutions to soon solve this problem too!
Media Content Localization
A company prioritizes website building, especially when they have an eCommerce outlet. Other industries also require an online platform. Localization is not their priority at first because it’s a young business, but for fully functioning organizations every website content should be updated in regional languages.
AI Localization can customize all aspects of your platform for both products and services, including;
- Infographics
- Images and captions
- Videos and subtitles
- Stat results, diagrams
- Product details
- Reviews
Comparatively Faster, Effective, and Productive Localization
Since artificial intelligence localization solutions have automated features that work within seconds, the real-time workflow is accelerated. With speed, it also expresses productivity to help you launch your website, product description, blog, and other content into the market as soon as possible.
Read More – Localization Importance: Snapchat Localization Case Study
Conclusion
Recently, we remain amazed by the multiple AI tools that are available in the market. We are of the view that they wouldn’t replace human translation and traditional localization anytime sooner since AI Localization is yet to devise strongly reliable data solutions.
We believe that Localization in artificial intelligence and its impact on every industry will one day assist the heavily industrialized and digitalized world with its versatility and focused solution strategies.
Fortunately, at MoniSa Enterprise, we rely on both MT & HT to deliver exclusive high-quality Localization with best-rated tools. Visit our service pages to know which solutions we can help you reach your company goals with!
