Artificial intelligence translation: Learn how to harness the technology for growth

Learn how artificial intelligence translation solutions can provide faster translations and quality results. AI language translations help you scale and grow.

Yext

Harnessing artificial intelligence translation for success

In today's globalized world, the internet connects customers and brands from every country, timezone, and language imaginable. You need the right tools to provide your customers with effective localization and translation management.

By removing language barriers and providing authentic localized experiences, you can connect with your brand audience more personally and increase company growth.

If you communicate in English, that’s a huge advantage, considering 1.5 billion people speak it—but that’s only out of 8 billion worldwide. We’re only reaching a small slice of the pie.

Artificial intelligence (AI) translation can help you create multilingual experiences quickly and efficiently.

You no longer have to spend countless hours, months, and even years entering markets by tediously translating your brand message, website, and materials by human hand. You can instead adopt a language intelligence tool to help aid the process for faster, more accurate translations.

AI translation has changed quickly—especially for localization, as AI translation tools are bubbling up in the economy to provide cost-effective, efficient solutions. Consumers and businesses see the value of machine learning (ML) and productivity. But what has actually changed in recent times?

The advancements and leverage of AI in translation

Using AI translation tools started as a straightforward, calculated experience. Using a language service protocol, you would get a literal text translation of your input language. Sometimes, the results would be slightly off or inaccurate based on grammar or context.

Then, AI and ML created more accurate outputs (like the Google Cloud Translation API and the B2C-facing Google Translate).

Harnessing artificial intelligence translation for success

For example, consider popular modern machine translation models like neural machine translation (NMT). These engines directly leverage deep ML neural networks to determine how to properly translate your content by interpreting the source content’s intent.

The result is that AI translation becomes more in line with how a human translator works. It can translate your content into any language you need, like Spanish, French, or simplified Chinese.

While these language translation results are impressive, they often fall short in meeting the demands of teams that need to communicate with their customers worldwide.

A traditional translation solution often has limitations in producing accurate, high-quality translations on its own. Additionally, companies want to translate their authentic brand message, which requires more attention and care.

But how can a company retain both the efficiency of AI and the highest quality output?

The evolution and impact of AI translation

Today’s innovative technologies allow humans to work with AI throughout the translation management process. Localization professionals are no strangers to using technology to streamline the translation process. They use software to split text into manageable segments, apply previous translations, and run quality assurance checks.

Because of this productivity advantage, humans can benefit from scalability and quality estimation algorithms to provide better results.

There will always be a need for human translators—artificial translation is not replacing them. Rather, AI should support them and make the translation process more efficient.

AI helps you work smarter (not harder) while improving translation quality throughout the process. You can publish content to market at a much more rapid pace without sacrificing quality.

Innovative brands are using the following to boost efficiency in their translation processes:

  • Machine translation: Your platform can automatically translate content for your customers using NMT technology so your translators can publish faster.
  • Natural language processing (NLP): NLP converts human speech into a computer's binary language. It can scan and analyze documents to uncover potential errors or improvements, or it can even document classifications on a mass scale. The right platform can automatically correct some of these errors and then flag issues so humans can save time and shift attention to where they are needed most.
  • Process automation: A more traditional translation process and the related workflows are slow and error-prone. Automated translation relies on AI to handle more basic and repetitive tasks, such as assigning jobs, reviewing and revising content, submitting content, or rejecting content altogether. Humans don’t have to do the grunt work, which saves you in labor costs.

How AI translation enhances accuracy and speed

workflow icon

A significant benefit of AI translation is the opportunity to reduce costs while saving valuable time.

For example, with the ability to preconfigure job automation rules, users can keep content flowing through parameters and rely on automated quality checks to identify any issues within the translation.

Platforms like Smartling constantly leverage linguistic and project data to improve their services and tools.

Since AI is constantly involved, users can optimize their translation process’s efficiency while learning how to improve even further.

Smartling's AI integration in translation services

What does better speed and accuracy look like on a platform? Smartling offers the most robust solution in the market to save time and boost productivity. Here’s how:

1. AI-powered human translation

AI-powered human translation brings humans and technology together to deliver consistent, high-quality brand translations.

For example, Smartling’s technology leverages AI and linguistic assets like translation memory (TM) and a glossary to choose the best MT engine for translations before its experts get to work.

When human translators step into the ring, they can edit for nuances and validate the final product. This leads to a much faster process, a higher-quality output, and a multidimensional quality metric (MQM) score of 98 delivered at half the cost.

smartling translation program
Smartling’s AI-powered human translation program delivers smooth and efficient results. (Source)

2. Best-in-class machine translation

Using Smartling’s NMT Hub, you can translate billions of words in milliseconds. Smartling AutoSelect evaluates your content based on criteria. Then, it routes the source text to the best-suited machine translation engine (like GPT, DeepL, PROMT, and more).

The NMT Hub reduces manual work by 90%, which enables humans to shift their effort to scaling their localization strategy.

Furthermore, with Smartling Translate, Smartling’s drag-and-drop GPT-enabled machine translation portal, brands can instantaneously produce up to 350% higher quality on-brand translations.

3. Automated project management and dynamic workflows

Smartling provides relevant data and makes automated decisions to translate content from one language to any target language. You can automate project management based on a set of pre-programmed parameters, including budget, time-to-market, and quality expectations. Other features include:

  • Job creation: Schedule content to automatically package into a job based on rules that include file and project type, languages, and more.
  • Content routing: Route and deliver text to the translation supplier automatically after assigning content.
  • Notifications: Notify team members so each user knows when work is ready for translation, editing, or review—and nothing slips through the cracks.

Users can design workflows for their unique needs based on their roles during the translation and content management processes. Users can even link multiple actions to one trigger.

For example, an advanced dynamic workflow can determine when a human translator, a machine translation, or a combination of both would be the best fit for specific content.

One available method is to leverage an existing TM to determine the content’s complexity. When Smartling compares source content against your brand's TM, it will often find word matches that are not 100% identical. These are known as fuzzy matches, and they represent a percentage based on how closely the words align in meaning.

You can automatically route content with many fuzzy matches that score below 90% to a translator instead of a machine translation workflow. Smartling can help determine the best path to take for success based on your content and translation history.

4. Quality checks, data, and analytics

Users can configure their own automated processes and task management workflows with customizable quality checks. They can also determine the priority of errors and implement action steps to resolve them before content moves to the next step.

Rather than require a constant human editing process, AI can help clean up content and remind translators of any errors during the translation process.

The result: a real-time view of translation quality across all your projects, languages, and translation providers. Your team can review critical metrics like translation velocity, costs, and more.

5. Large language models and post-editing

Large language models (LLMs) utilize AI and deep learning to analyze large data sets for efficient translations.

This technology is especially useful for post-editing. You can use the AI to edit for formalities, gender de-biasing, and common issues within the culture and language you are trying to reach. LLMs are another asset that you can use to drastically speed up efficiency and content translations.

The future of translation with AI innovations

Your company can now use AI translation services to scale growth like never before. You can quickly translate your website, marketing materials, platform, and any other resource you need to communicate with customers worldwide.

It’s the future of multiplying your business growth—expanding into new markets with accurate, culturally relevant, high-quality translations. Take, for instance, how Smartling positioned Mailgun and Mailjet to boost website visitors and save thousands of dollars with localization.

Mailgun and Mailjet (by Sinch) both provide email marketing solutions. The duo needed a way to scale more affordably and multiply growth, but the process was manual and very time-consuming.

The Sinch platforms wanted to improve their customer relationships in core markets like France, Germany, and Spain. But it wasn’t easy on their own.

For instance, Mailjet was founded in France before its acquisition by Sinch. It produced content for different regions without a brand guide and standard quality metrics for localization. This created inconsistencies that caused friction with its markets.

Mailgun and Mailjet had millions of words to translate right at the start, so the brands chose Smartling for their localization solution.

Within a year, Mailgun and Mailjet improved time to market, translation quality, and conversion rate. The platforms earned an impressive ROI and continue to scale across the globe.

Mailgun and Mailjet made impressive strides, such as:

  • 1.6 million words translated in one year
  • 2,500 hours of manual work saved (and reinvested into more localization expansion)

Mailjet also increased website visitors in Germany by 291%, in Spain by 966%, and in France by 391%.

While Sinch reaped sales and growth benefits, it also saved $130,000 with Smartling’s automation tool and $50,000 with its TM to store and reuse translated content.

Alfonso González Bartolessis, the localization manager at Sinch, stated, “In my 25 years or more career in the translation industry, this is the best tool I have found.”

Mailgun and Mailjet can now streamline their localization strategy, save costs, and expand into more markets.

Transform your process with Smartling's AI translation technology

What if someone told you that you’re leaving revenue on the table? That’s what many brands are doing when they don’t efficiently translate their solutions to expand their reach.

It’s as simple as adopting a platform like Smartling that can offer fast and accurate AI translations.

You can join the hundreds of companies that rely on Smartling’s platform to automate and create multilingual websites, marketing campaigns, web and mobile products, and customer experiences.

Platform Demo .gif (Transparant)
Smartling home page (Source)

Take advantage of our innovative solutions to:

  • Leverage AI-powered human translation.
  • Translate quickly and accurately, provide visual context, and perform quality checks using our CAT Tool.
  • Automate content ingestion with flexible workflows via our Global Delivery Network.
  • Manage workflow routing, visibility, communication, and cost with our workflow features.
  • Analyze and optimize performance with real-time, custom reporting using our translation management system.
  • Translate billions of words with our NMT Hub and benefit from Auto-Select, which chooses the perfect MT engine for each translation.

Watch the demo today to see firsthand how your brand can produce accurate translations for better, more personalized customer connections.