Share Market Newspaper

Digital Marketers are developing a growing trust in AI’s ability to translate websites. For a long time, Artificial Intelligence (AI) has been a mystery. People weren’t sure what it meant or what it did.

But as businesses have expanded their capabilities using artificial intelligence, the public has gained a better understanding of its benefits and use cases.

In recent years, AI has made remarkable strides in various industries, and one area where its impact is increasingly felt is website translation.

The best website translation services have learned how to put AI and machine learning to use for their customers, helping to optimize the translation and localization process as well as reduce overall costs

The Growth of AI

Between 2016 and 2022, the U.S. machine translation market grew from $400 million to $1.1 billion. That number is expected to continue to increase by another $230.67 million by 2026. Another study showed that 39% of marketers said they use machine translation in their localization strategy. Among them, 83% said they are confident in the quality of their translations.

AI-powered machine translation is changing the game in the world of localization, making it easier and more efficient for businesses to reach global audiences. 

According to translation technology experts, 2023 has seen huge changes in the language services industry, and the best website translation services do not rely solely on human translation anymore. That’s why it’s no surprise that the leaders in website translation and localization are making the most of AI to optimize the process and reduce overall costs

How Can Marketers Take Advantage of AI Translation? 

Since more people and businesses use large language models, there is now a higher tolerance and trust for its presence in translation and is carrying a greater expectation that it will be used to reduce costs while increasing overall efficiency.

With the growing popularity of machine translation usage, website translation has become more affordable and accessible to smaller companies and marketers that previously had no access to translation. 

Despite the impact of the COVID-19 pandemic on small businesses, with many going under over the past three years, the translation service market size has seen a 40% increase. 

The use of translation memory (TM), a machine translation tool used by translation service providers, has contributed to the decrease in costs. Research shows using a TM can lower the overall cost of translation updates by 20-30%. It can also reduce delivery time by 50% on average.

There are some particularly important benefits for marketers that opt to use AI in website translation: 

It’s fast: Machine translation can produce near-human quality work in a fraction of the time.

It’s scalable: AI can handle large amounts of content and translate it quickly, keeping a business from lagging behind.

It’s affordable: A human translator will charge between $20-$150 per hour. Machine translation can save up to 60% on human translation costs.

It’s automated: Automating the pilot stages of the translation process makes the rest faster and more affordable. 

MotionPoint is Revolutionizing Website Translation

MotionPoint’s machine translation stack seamlessly combines translation memory, algorithmic translation, and artificial intelligence to deliver top-tier human-quality translations while significantly reducing costs. 

Their AI translation strategy centers around the utilization of Neural Machine Translation (NMT) to enhance results, specifically brand adapted NMTs. Neural Machine Translation is the cutting edge of machine translation technologies, employing deep neural networks to effectively translate text from one language to another. 

A brand adapted NMT goes a step further by allowing customization. By training the AI to learn glossaries and branded terms, future translations become more attuned to the company’s language, saving time and money.

Distinguishing itself from Statistical Machine Translation (SMT), NMT relies on neural networks for learning language mappings instead of statistical models. NMT models are trained and exposed to extensive text data, undergoing a technique known as backpropagation. 

This approach enables the model to fine-tune its performance by optimizing specific objective functions, such as maximizing the likelihood of producing the correct translation based on the source language input.

This enables MotionPoint to then use their translation memory tools to store these well-rounded translated pairs to reduce the amount of human intervention needed to complete further projects. That’s the secret to how they were able to translate over 100M words for their customers in 2022

Learn more about the evolution of AI in the world of website translation and help a business grow through professional website localization services.

Media Contact
Company Name: MotionPoint
Contact Person: Emily Sorrentino
Email: Send Email
Country: United States
Website: https://www.motionpoint.com/