AI-powered localization: Definition, key benefits, and best practices

Localizing content for different languages and cultures is a formidable undertaking. Adapting your content for just one new global audience can be incredibly costly and time-consuming. Now, imagine you want to scale across multiple countries and local markets.

How can you possibly localize your messaging at scale while maintaining accuracy—and without breaking the bank?

That’s where AI localization comes in. AI-powered localization tools can automatically generate high-quality translations for various markets and customize them to engage unique audiences with the option for human review.

This guide will explain the benefits of localization AI and outline best practices to fuel your global expansion.

What is AI localization?

AI localization uses artificial intelligence (AI) to automatically adapt content for a new region or target audience.

Localization goes beyond word-for-word translations. It updates messaging to match the nuances, tones, dialects, and cultural sensitivities of each audience, ensuring optimal engagement. Beyond translating and adapting text, it also involves customizing the user experience—including visual interfaces and payment methods—to match audience behaviors and preferences.

Traditionally, businesses relied on human translators to accomplish many of these tasks. AI localization platforms can now provide the same services with greater speed, accuracy, and cost-efficiency. 

How does AI localization work? 

AI is a broad term that encompasses multiple technologies. Localization automation employs the following technology:

• Large language models (LLMs): These foundational and/or fine-tuned models are used to process and understand natural language data. For example, they can pre-edit source text to yield higher-quality translations or post-edit translations for greater fluency and contextual coherence to your company’s tone and voice. 
• Machine translation (MT): Automated AI systems quickly convert text from one language to another using algorithms and large language datasets. In localization, they’re commonly used for raw, initial translations that provide a general understanding of content. Then, human or AI review can refine accuracy and tone.
• Machine learning (ML): Machine learning algorithms reference vast datasets to make informed localization decisions. For example, Smartling’s Language Quality Estimation (LQE) Agent estimates the quality of machine translations to predict how much editing may be required by a human linguist. This intelligent insight helps maximize the efficiency of translation workflows. 

3 benefits of using AI for multilingual localization and adaptation

AI-powered solutions are a necessity for businesses that want to scale globally. Instead of manually updating content for new audiences, AI translation tools do the heavy lifting for you.

Here’s a closer look at the benefits of AI technologies for multilingual localization and adaptation:

1. Improved accuracy over simple MT conversion

AI tools constantly learn from past translations and historical data to improve their output. Although human translators may spot nuances that machines can’t, they’re also prone to human error.

Meanwhile, AI tools are evolving to deliver increasingly accurate and consistent machine translations. Hallucination detection mechanisms provide a safety net to avoid introducing new or inaccurate information during AI processing. Adding a layer of human review yields even greater quality.

1. Enhanced productivity and profitability

With AI-powered automation, businesses can localize large volumes of content and improve their productivity. AI tools improve translator efficiency and performance, saving time that can be reinvested in localization strategies that boost ROI. Brands are better equipped to launch new localized campaigns and products at scale, speeding up their market entries and staying ahead of the competition.

1. Cost savings

Human translators charge an average of $0.20 per word, with higher rates for translations that require technical expertise. When coupled with human review, AI translations can provide human-quality output faster and for half the cost.

AI tools also use automation technologies like translation memory databases to maximize your budget. These databases record and reuse translations in your unique brand voice, so you never have to pay full price for the same translations again.

Common misconceptions about localization AI

AI is a complex and dynamic field, with researchers developing new advancements every day to improve output. Let’s clear up three common misconceptions about AI localization:

AI eliminates the need for human translators

AI isn’t the end-all-be-all for translations just yet. Sometimes, you still need a human touch—or at least a human editor to double-check AI’s work. Although AI translations remain the most efficient and affordable option, they’re often paired with human input for optimized results.

That’s why Smartling offers a variety of translation services depending on your needs, including the following options:

• Machine translation: Fully automated translation is ideal for high-volume content, like blog posts, customer reviews, FAQs, and internal training manuals. Smartling selects the best machine learning engine for your translation needs from a list of world-class providers.
• AI Translation: For an instant translation with guaranteed quality, try Smartling’s advanced AI option, which blends the fluency of LLMs with the accuracy of neural machine translation (NMT). It delivers results on par with competitors’ human-edited MT outputs at a fraction of the cost—ideal for complex or long-form content, like whitepapers and user guides. 
• AI Human Translation: This hybrid solution provides unparalleled quality with a one-day turnaround. It’s recommended for high-stakes or heavily regulated industries, like pharmaceuticals and legal services.

AI is infallible

AI systems continuously learn from their own work and historical data. That means they always have room to grow and improve—and they’re not perfect. Although AI translation platforms can provide significant cost savings and productivity boosts, they may require human oversight for optimal outputs.

Smartling’s AI Post-Editing Agent reduces this issue by mitigating hallucinations to ensure a reliable, high quality translation output.

AI compromises privacy

AI tools process large amounts of data on external servers, leading to security concerns. However, businesses can protect their data by implementing an AI translation platform with clear privacy and data usage standards.

Smartling, for example, adheres to the highest industry standards, like PCI, SOC 2, HIPAA, and GDPR, to protect your data. You can submit your content and business information with peace of mind.

4 best practices for effective AI-powered localization

Every business’s AI-powered localization strategy will look different. That’s because every business takes a unique approach to expanding its global footprint. Your localization strategy should be customized to meet your business goals and audience needs.

Still, there are standard practices that every global brand can benefit from. Use this advice to get started:

1. Define clear localization objectives

First, determine what you want your localization strategy to achieve. Are you trying to enter a new foreign market and fill a gap in demand? Are you seeking partnerships with local vendors, such as shipping suppliers and manufacturers? Are you aiming to increase conversions among a specific demographic? Defined objectives will help you decide which AI solutions you need.

1. Choose the right AI tools for your business

Research the best AI translation tools to find the right fit for your localization needs. Consider factors like speed, accuracy, and quality control. Do you want fully automated translation, or are you seeking a mix of AI and human expertise? Make sure your solution supports the languages and locations you’d like to reach now and in the future.

1. Build glossaries and style guides

Maintain a glossary of company- and industry-specific terminology to get the most out of your AI platform. This is especially important for businesses in technical industries with unique vocabularies. 

Also, create a style guide outlining your brand’s tone of voice, business and audience personas, and grammar preferences. The more information you can provide your AI tool, the more on-brand your translations will be. 

Looking for more guidance on developing these materials? Check out our webinar on preparing assets to improve translations.

1. Aproveite a memória de tradução

Don’t pay to translate the same terms and content blurbs more than once. With translation memory, you can create a pool of completed and approved translations for your AI platform to pull from, saving time and money.

Streamline localization with the power of AI

AI-powered localization is a game-changer for globally expanding businesses. The right AI localization service will yield accurate, cost-efficient translations at scale, guaranteeing natural-sounding content that resonates with international audiences.

Smartling stands out for its wide range of options to suit any budget or goal. Regardless of your translation needs, our Linguistic Quality Assurance suite and intuitive translation management system guarantee a streamlined process with top-tier results.

Ready to take the next step in your global expansion? Download our free eBook, “AI-Powered Localization: Achieving Quality, Cost, and Speed Objectives,” to refine your AI localization strategy and achieve global success.

Localizing content for different languages and cultures is a formidable undertaking. Adapting your content for just one new global audience can be incredibly costly and time-consuming. Now, imagine you want to scale across multiple countries and local markets.

How can you possibly localize your messaging at scale while maintaining accuracy—and without breaking the bank?

That’s where AI localization comes in. AI-powered localization tools can automatically generate high-quality translations for various markets and customize them to engage unique audiences with the option for human review.

This guide will explain the benefits of localization AI and outline best practices to fuel your global expansion.

What is AI localization?

AI localization uses artificial intelligence (AI) to automatically adapt content for a new region or target audience.

Localization goes beyond word-for-word translations. It updates messaging to match the nuances, tones, dialects, and cultural sensitivities of each audience, ensuring optimal engagement. Beyond translating and adapting text, it also involves customizing the user experience—including visual interfaces and payment methods—to match audience behaviors and preferences.

Traditionally, businesses relied on human translators to accomplish many of these tasks. AI localization platforms can now provide the same services with greater speed, accuracy, and cost-efficiency. 

How does AI localization work? 

AI is a broad term that encompasses multiple technologies. Localization automation employs the following technology:

• Large language models (LLMs): These foundational and/or fine-tuned models are used to process and understand natural language data. For example, they can pre-edit source text to yield higher-quality translations or post-edit translations for greater fluency and contextual coherence to your company’s tone and voice. 
• Machine translation (MT): Automated AI systems quickly convert text from one language to another using algorithms and large language datasets. In localization, they’re commonly used for raw, initial translations that provide a general understanding of content. Then, human or AI review can refine accuracy and tone.
• Machine learning (ML): Machine learning algorithms reference vast datasets to make informed localization decisions. For example, Smartling’s Language Quality Estimation (LQE) Agent estimates the quality of machine translations to predict how much editing may be required by a human linguist. This intelligent insight helps maximize the efficiency of translation workflows. 

3 benefits of using AI for multilingual localization and adaptation

AI-powered solutions are a necessity for businesses that want to scale globally. Instead of manually updating content for new audiences, AI translation tools do the heavy lifting for you.

Here’s a closer look at the benefits of AI technologies for multilingual localization and adaptation:

1. Improved accuracy over simple MT conversion

AI tools constantly learn from past translations and historical data to improve their output. Although human translators may spot nuances that machines can’t, they’re also prone to human error.

Meanwhile, AI tools are evolving to deliver increasingly accurate and consistent machine translations. Hallucination detection mechanisms provide a safety net to avoid introducing new or inaccurate information during AI processing. Adding a layer of human review yields even greater quality.

1. Enhanced productivity and profitability

With AI-powered automation, businesses can localize large volumes of content and improve their productivity. AI tools improve translator efficiency and performance, saving time that can be reinvested in localization strategies that boost ROI. Brands are better equipped to launch new localized campaigns and products at scale, speeding up their market entries and staying ahead of the competition.

1. Cost savings

Human translators charge an average of $0.20 per word, with higher rates for translations that require technical expertise. When coupled with human review, AI translations can provide human-quality output faster and for half the cost.

AI tools also use automation technologies like translation memory databases to maximize your budget. These databases record and reuse translations in your unique brand voice, so you never have to pay full price for the same translations again.

Common misconceptions about localization AI

AI is a complex and dynamic field, with researchers developing new advancements every day to improve output. Let’s clear up three common misconceptions about AI localization:

AI eliminates the need for human translators

AI isn’t the end-all-be-all for translations just yet. Sometimes, you still need a human touch—or at least a human editor to double-check AI’s work. Although AI translations remain the most efficient and affordable option, they’re often paired with human input for optimized results.

That’s why Smartling offers a variety of translation services depending on your needs, including the following options:

• Machine translation: Fully automated translation is ideal for high-volume content, like blog posts, customer reviews, FAQs, and internal training manuals. Smartling selects the best machine learning engine for your translation needs from a list of world-class providers.
• AI Translation: For an instant translation with guaranteed quality, try Smartling’s advanced AI option, which blends the fluency of LLMs with the accuracy of neural machine translation (NMT). It delivers results on par with competitors’ human-edited MT outputs at a fraction of the cost—ideal for complex or long-form content, like whitepapers and user guides. 
• AI Human Translation: This hybrid solution provides unparalleled quality with a one-day turnaround. It’s recommended for high-stakes or heavily regulated industries, like pharmaceuticals and legal services.

AI is infallible

AI systems continuously learn from their own work and historical data. That means they always have room to grow and improve—and they’re not perfect. Although AI translation platforms can provide significant cost savings and productivity boosts, they may require human oversight for optimal outputs.

Smartling’s AI Post-Editing Agent reduces this issue by mitigating hallucinations to ensure a reliable, high quality translation output.

AI compromises privacy

AI tools process large amounts of data on external servers, leading to security concerns. However, businesses can protect their data by implementing an AI translation platform with clear privacy and data usage standards.

Smartling, for example, adheres to the highest industry standards, like PCI, SOC 2, HIPAA, and GDPR, to protect your data. You can submit your content and business information with peace of mind.

4 best practices for effective AI-powered localization

Every business’s AI-powered localization strategy will look different. That’s because every business takes a unique approach to expanding its global footprint. Your localization strategy should be customized to meet your business goals and audience needs.

Still, there are standard practices that every global brand can benefit from. Use this advice to get started:

1. Define clear localization objectives

First, determine what you want your localization strategy to achieve. Are you trying to enter a new foreign market and fill a gap in demand? Are you seeking partnerships with local vendors, such as shipping suppliers and manufacturers? Are you aiming to increase conversions among a specific demographic? Defined objectives will help you decide which AI solutions you need.

1. Choose the right AI tools for your business

Research the best AI translation tools to find the right fit for your localization needs. Consider factors like speed, accuracy, and quality control. Do you want fully automated translation, or are you seeking a mix of AI and human expertise? Make sure your solution supports the languages and locations you’d like to reach now and in the future.

1. Build glossaries and style guides

Maintain a glossary of company- and industry-specific terminology to get the most out of your AI platform. This is especially important for businesses in technical industries with unique vocabularies. 

Also, create a style guide outlining your brand’s tone of voice, business and audience personas, and grammar preferences. The more information you can provide your AI tool, the more on-brand your translations will be. 

Looking for more guidance on developing these materials? Check out our webinar on preparing assets to improve translations.

1. Aproveite a memória de tradução

Don’t pay to translate the same terms and content blurbs more than once. With translation memory, you can create a pool of completed and approved translations for your AI platform to pull from, saving time and money.

Streamline localization with the power of AI

AI-powered localization is a game-changer for globally expanding businesses. The right AI localization service will yield accurate, cost-efficient translations at scale, guaranteeing natural-sounding content that resonates with international audiences.

Smartling stands out for its wide range of options to suit any budget or goal. Regardless of your translation needs, our Linguistic Quality Assurance suite and intuitive translation management system guarantee a streamlined process with top-tier results.

Ready to take the next step in your global expansion? Download our free eBook, “AI-Powered Localization: Achieving Quality, Cost, and Speed Objectives,” to refine your AI localization strategy and achieve global success.

Localizing content for different languages and cultures is a formidable undertaking. Adapting your content for just one new global audience can be incredibly costly and time-consuming. Now, imagine you want to scale across multiple countries and local markets.

How can you possibly localize your messaging at scale while maintaining accuracy—and without breaking the bank?

That’s where AI localization comes in. AI-powered localization tools can automatically generate high-quality translations for various markets and customize them to engage unique audiences with the option for human review.

This guide will explain the benefits of localization AI and outline best practices to fuel your global expansion.

What is AI localization?

AI localization uses artificial intelligence (AI) to automatically adapt content for a new region or target audience.

Localization goes beyond word-for-word translations. It updates messaging to match the nuances, tones, dialects, and cultural sensitivities of each audience, ensuring optimal engagement. Beyond translating and adapting text, it also involves customizing the user experience—including visual interfaces and payment methods—to match audience behaviors and preferences.

Traditionally, businesses relied on human translators to accomplish many of these tasks. AI localization platforms can now provide the same services with greater speed, accuracy, and cost-efficiency. 

How does AI localization work? 

AI is a broad term that encompasses multiple technologies. Localization automation employs the following technology:

• Large language models (LLMs): These foundational and/or fine-tuned models are used to process and understand natural language data. For example, they can pre-edit source text to yield higher-quality translations or post-edit translations for greater fluency and contextual coherence to your company’s tone and voice. 
• Machine translation (MT): Automated AI systems quickly convert text from one language to another using algorithms and large language datasets. In localization, they’re commonly used for raw, initial translations that provide a general understanding of content. Then, human or AI review can refine accuracy and tone.
• Machine learning (ML): Machine learning algorithms reference vast datasets to make informed localization decisions. For example, Smartling’s Language Quality Estimation (LQE) Agent estimates the quality of machine translations to predict how much editing may be required by a human linguist. This intelligent insight helps maximize the efficiency of translation workflows. 

3 benefits of using AI for multilingual localization and adaptation

AI-powered solutions are a necessity for businesses that want to scale globally. Instead of manually updating content for new audiences, AI translation tools do the heavy lifting for you.

Here’s a closer look at the benefits of AI technologies for multilingual localization and adaptation:

1. Improved accuracy over simple MT conversion

AI tools constantly learn from past translations and historical data to improve their output. Although human translators may spot nuances that machines can’t, they’re also prone to human error.

Meanwhile, AI tools are evolving to deliver increasingly accurate and consistent machine translations. Hallucination detection mechanisms provide a safety net to avoid introducing new or inaccurate information during AI processing. Adding a layer of human review yields even greater quality.

1. Enhanced productivity and profitability

With AI-powered automation, businesses can localize large volumes of content and improve their productivity. AI tools improve translator efficiency and performance, saving time that can be reinvested in localization strategies that boost ROI. Brands are better equipped to launch new localized campaigns and products at scale, speeding up their market entries and staying ahead of the competition.

1. Cost savings

Human translators charge an average of $0.20 per word, with higher rates for translations that require technical expertise. When coupled with human review, AI translations can provide human-quality output faster and for half the cost.

AI tools also use automation technologies like translation memory databases to maximize your budget. These databases record and reuse translations in your unique brand voice, so you never have to pay full price for the same translations again.

Common misconceptions about localization AI

AI is a complex and dynamic field, with researchers developing new advancements every day to improve output. Let’s clear up three common misconceptions about AI localization:

AI eliminates the need for human translators

AI isn’t the end-all-be-all for translations just yet. Sometimes, you still need a human touch—or at least a human editor to double-check AI’s work. Although AI translations remain the most efficient and affordable option, they’re often paired with human input for optimized results.

That’s why Smartling offers a variety of translation services depending on your needs, including the following options:

• Machine translation: Fully automated translation is ideal for high-volume content, like blog posts, customer reviews, FAQs, and internal training manuals. Smartling selects the best machine learning engine for your translation needs from a list of world-class providers.
• AI Translation: For an instant translation with guaranteed quality, try Smartling’s advanced AI option, which blends the fluency of LLMs with the accuracy of neural machine translation (NMT). It delivers results on par with competitors’ human-edited MT outputs at a fraction of the cost—ideal for complex or long-form content, like whitepapers and user guides. 
• AI Human Translation: This hybrid solution provides unparalleled quality with a one-day turnaround. It’s recommended for high-stakes or heavily regulated industries, like pharmaceuticals and legal services.

AI is infallible

AI systems continuously learn from their own work and historical data. That means they always have room to grow and improve—and they’re not perfect. Although AI translation platforms can provide significant cost savings and productivity boosts, they may require human oversight for optimal outputs.

Smartling’s AI Post-Editing Agent reduces this issue by mitigating hallucinations to ensure a reliable, high quality translation output.

AI compromises privacy

AI tools process large amounts of data on external servers, leading to security concerns. However, businesses can protect their data by implementing an AI translation platform with clear privacy and data usage standards.

Smartling, for example, adheres to the highest industry standards, like PCI, SOC 2, HIPAA, and GDPR, to protect your data. You can submit your content and business information with peace of mind.

4 best practices for effective AI-powered localization

Every business’s AI-powered localization strategy will look different. That’s because every business takes a unique approach to expanding its global footprint. Your localization strategy should be customized to meet your business goals and audience needs.

Still, there are standard practices that every global brand can benefit from. Use this advice to get started:

1. Define clear localization objectives

First, determine what you want your localization strategy to achieve. Are you trying to enter a new foreign market and fill a gap in demand? Are you seeking partnerships with local vendors, such as shipping suppliers and manufacturers? Are you aiming to increase conversions among a specific demographic? Defined objectives will help you decide which AI solutions you need.

1. Choose the right AI tools for your business

Research the best AI translation tools to find the right fit for your localization needs. Consider factors like speed, accuracy, and quality control. Do you want fully automated translation, or are you seeking a mix of AI and human expertise? Make sure your solution supports the languages and locations you’d like to reach now and in the future.

1. Build glossaries and style guides

Maintain a glossary of company- and industry-specific terminology to get the most out of your AI platform. This is especially important for businesses in technical industries with unique vocabularies. 

Also, create a style guide outlining your brand’s tone of voice, business and audience personas, and grammar preferences. The more information you can provide your AI tool, the more on-brand your translations will be. 

Looking for more guidance on developing these materials? Check out our webinar on preparing assets to improve translations.

1. Aproveite a memória de tradução

Don’t pay to translate the same terms and content blurbs more than once. With translation memory, you can create a pool of completed and approved translations for your AI platform to pull from, saving time and money.

Streamline localization with the power of AI

AI-powered localization is a game-changer for globally expanding businesses. The right AI localization service will yield accurate, cost-efficient translations at scale, guaranteeing natural-sounding content that resonates with international audiences.

Smartling stands out for its wide range of options to suit any budget or goal. Regardless of your translation needs, our Linguistic Quality Assurance suite and intuitive translation management system guarantee a streamlined process with top-tier results.

Ready to take the next step in your global expansion? Download our free eBook, “AI-Powered Localization: Achieving Quality, Cost, and Speed Objectives,” to refine your AI localization strategy and achieve global success.

Localizing content for different languages and cultures is a formidable undertaking. Adapting your content for just one new global audience can be incredibly costly and time-consuming. Now, imagine you want to scale across multiple countries and local markets.

How can you possibly localize your messaging at scale while maintaining accuracy—and without breaking the bank?

That’s where AI localization comes in. AI-powered localization tools can automatically generate high-quality translations for various markets and customize them to engage unique audiences with the option for human review.

This guide will explain the benefits of localization AI and outline best practices to fuel your global expansion.

What is AI localization?

AI localization uses artificial intelligence (AI) to automatically adapt content for a new region or target audience.

Localization goes beyond word-for-word translations. It updates messaging to match the nuances, tones, dialects, and cultural sensitivities of each audience, ensuring optimal engagement. Beyond translating and adapting text, it also involves customizing the user experience—including visual interfaces and payment methods—to match audience behaviors and preferences.

Traditionally, businesses relied on human translators to accomplish many of these tasks. AI localization platforms can now provide the same services with greater speed, accuracy, and cost-efficiency. 

How does AI localization work? 

AI is a broad term that encompasses multiple technologies. Localization automation employs the following technology:

• Large language models (LLMs): These foundational and/or fine-tuned models are used to process and understand natural language data. For example, they can pre-edit source text to yield higher-quality translations or post-edit translations for greater fluency and contextual coherence to your company’s tone and voice. 
• Machine translation (MT): Automated AI systems quickly convert text from one language to another using algorithms and large language datasets. In localization, they’re commonly used for raw, initial translations that provide a general understanding of content. Then, human or AI review can refine accuracy and tone.
• Machine learning (ML): Machine learning algorithms reference vast datasets to make informed localization decisions. For example, Smartling’s Language Quality Estimation (LQE) Agent estimates the quality of machine translations to predict how much editing may be required by a human linguist. This intelligent insight helps maximize the efficiency of translation workflows. 

3 benefits of using AI for multilingual localization and adaptation

AI-powered solutions are a necessity for businesses that want to scale globally. Instead of manually updating content for new audiences, AI translation tools do the heavy lifting for you.

Here’s a closer look at the benefits of AI technologies for multilingual localization and adaptation:

1. Improved accuracy over simple MT conversion

AI tools constantly learn from past translations and historical data to improve their output. Although human translators may spot nuances that machines can’t, they’re also prone to human error.

Meanwhile, AI tools are evolving to deliver increasingly accurate and consistent machine translations. Hallucination detection mechanisms provide a safety net to avoid introducing new or inaccurate information during AI processing. Adding a layer of human review yields even greater quality.

1. Enhanced productivity and profitability

With AI-powered automation, businesses can localize large volumes of content and improve their productivity. AI tools improve translator efficiency and performance, saving time that can be reinvested in localization strategies that boost ROI. Brands are better equipped to launch new localized campaigns and products at scale, speeding up their market entries and staying ahead of the competition.

1. Cost savings

Human translators charge an average of $0.20 per word, with higher rates for translations that require technical expertise. When coupled with human review, AI translations can provide human-quality output faster and for half the cost.

AI tools also use automation technologies like translation memory databases to maximize your budget. These databases record and reuse translations in your unique brand voice, so you never have to pay full price for the same translations again.

Common misconceptions about localization AI

AI is a complex and dynamic field, with researchers developing new advancements every day to improve output. Let’s clear up three common misconceptions about AI localization:

AI eliminates the need for human translators

AI isn’t the end-all-be-all for translations just yet. Sometimes, you still need a human touch—or at least a human editor to double-check AI’s work. Although AI translations remain the most efficient and affordable option, they’re often paired with human input for optimized results.

That’s why Smartling offers a variety of translation services depending on your needs, including the following options:

• Machine translation: Fully automated translation is ideal for high-volume content, like blog posts, customer reviews, FAQs, and internal training manuals. Smartling selects the best machine learning engine for your translation needs from a list of world-class providers.
• AI Translation: For an instant translation with guaranteed quality, try Smartling’s advanced AI option, which blends the fluency of LLMs with the accuracy of neural machine translation (NMT). It delivers results on par with competitors’ human-edited MT outputs at a fraction of the cost—ideal for complex or long-form content, like whitepapers and user guides. 
• AI Human Translation: This hybrid solution provides unparalleled quality with a one-day turnaround. It’s recommended for high-stakes or heavily regulated industries, like pharmaceuticals and legal services.

AI is infallible

AI systems continuously learn from their own work and historical data. That means they always have room to grow and improve—and they’re not perfect. Although AI translation platforms can provide significant cost savings and productivity boosts, they may require human oversight for optimal outputs.

Smartling’s AI Post-Editing Agent reduces this issue by mitigating hallucinations to ensure a reliable, high quality translation output.

AI compromises privacy

AI tools process large amounts of data on external servers, leading to security concerns. However, businesses can protect their data by implementing an AI translation platform with clear privacy and data usage standards.

Smartling, for example, adheres to the highest industry standards, like PCI, SOC 2, HIPAA, and GDPR, to protect your data. You can submit your content and business information with peace of mind.

4 best practices for effective AI-powered localization

Every business’s AI-powered localization strategy will look different. That’s because every business takes a unique approach to expanding its global footprint. Your localization strategy should be customized to meet your business goals and audience needs.

Still, there are standard practices that every global brand can benefit from. Use this advice to get started:

1. Define clear localization objectives

First, determine what you want your localization strategy to achieve. Are you trying to enter a new foreign market and fill a gap in demand? Are you seeking partnerships with local vendors, such as shipping suppliers and manufacturers? Are you aiming to increase conversions among a specific demographic? Defined objectives will help you decide which AI solutions you need.

1. Choose the right AI tools for your business

Research the best AI translation tools to find the right fit for your localization needs. Consider factors like speed, accuracy, and quality control. Do you want fully automated translation, or are you seeking a mix of AI and human expertise? Make sure your solution supports the languages and locations you’d like to reach now and in the future.

1. Build glossaries and style guides

Maintain a glossary of company- and industry-specific terminology to get the most out of your AI platform. This is especially important for businesses in technical industries with unique vocabularies. 

Also, create a style guide outlining your brand’s tone of voice, business and audience personas, and grammar preferences. The more information you can provide your AI tool, the more on-brand your translations will be. 

Looking for more guidance on developing these materials? Check out our webinar on preparing assets to improve translations.

1. Aproveite a memória de tradução

Don’t pay to translate the same terms and content blurbs more than once. With translation memory, you can create a pool of completed and approved translations for your AI platform to pull from, saving time and money.

Streamline localization with the power of AI

AI-powered localization is a game-changer for globally expanding businesses. The right AI localization service will yield accurate, cost-efficient translations at scale, guaranteeing natural-sounding content that resonates with international audiences.

Smartling stands out for its wide range of options to suit any budget or goal. Regardless of your translation needs, our Linguistic Quality Assurance suite and intuitive translation management system guarantee a streamlined process with top-tier results.

Ready to take the next step in your global expansion? Download our free eBook, “AI-Powered Localization: Achieving Quality, Cost, and Speed Objectives,” to refine your AI localization strategy and achieve global success.

Etiquetas: Tradução automática Blog Tradução na nuvem