AI-Enabled Content and Language Solutions

automation

Tech-driven excellence
Leveraging AI to enhance the efficiency and accuracy of your content with improved turnaround times and scalability.

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Empowering your organization

Our in-house team of engineers and linguists are able to customize AI solutions for maximum impact across your business ecosystem.

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Privacy-centric approach
Your content and data remain protected through encryption protocols, secure storage, access controls and industry-specific regulatory compliance.

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AI-Optimized Machine Translation

Explore the latest AI applications in natural language processing (NLP) and neural machine translation (NMT).

Connectivity & API integrations

Integration and connectivity with your existing infrastructure for full automation, optimal efficiency and reduced human touchpoints.

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TMS Tools & Consulting

We help you to find the best platform to streamline your translation process, optimizing project management, resources, collaboration and quality.

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Acolad Portal

Collaborate smoothly with all your translation stakeholders through easy-to-use client interfaces, accessible 24/7.

Machine Translation

AI-powered machine translation services that leverage advanced algorithms, neural networks, and large language datasets to enhance speed but also accuracy, resulting in more precise and fluent translations.

Automated AI Transcription

Speech recognition technology and artificial intelligence (AI) at the service of transcription to secure a faster and more efficient alternative process, while improving to improve content indexing and searchability.

Natural Language Processing (NLP)

Using AI-powered NLP services to extract information, perform sentiment analysis, categorize content and enable language-specific processing for effective content localization.

AI Content Generation

AI-assisted content generation such as articles, product descriptions, copy ads and other forms of written content based on predefined rules, templates or machine learning algorithms.

“We had the most innovations in the PIC’s history: a healthy amount of AI, focus on connectivity, recruitment, LQA, video and content analysis. I want to extend our thanks to all those innovators.”

Dave Ruane
LocWorld Process Innovation Challenge Chair

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Content Optimization

Identify opportunities to improve search rankings with AI tools that recommend keywords and headings, optimize meta tags and structure your content structure for organic visibility.

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Process and Workflow Automation

AI-powered workflow automation and optimization so you can manage large volumes of multilingual content while maintaining the highest quality standards in every language.

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Translation Quality Assurance

Intelligent language quality tools trained to identify potential errors, inconsistencies and grammar issues, while maintaining consistent terminology across languages.

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Connect with our AI team for a personalized session and discover how AI can drive your business success.

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Can AI be used to automate content creation?

Yes. Utilizing natural language generation (NLG) algorithms, AI can generate human-like text. With some limitations, it can be used for the creation of articles, reports, product descriptions and more.

What are the benefits of AI for content creation?

AI increases efficiency, scalability and productivity. It can generate personalized content at scale, optimize SEO elements, improve readability for different target audiences and enhance content performance through data-driven insights.

Can AI personalize user experiences?

To a certain extent, yes. Analyzing user data, behavior patterns and preferences, it can deliver personalized content recommendations, aligned with users’ interests, ultimately resulting in increased engagement and satisfaction.

What are the risks associated with AI-generated content?

Ethical concerns include bias, transparency and the potential for AI-generated content to be misleading or indistinguishable from human-created content. Careful monitoring, ethical guidelines and transparent disclosing of AI-generated content are crucial to mitigate risks.

Can natural language processing (NLP) improve content analysis?

NLP techniques enable machines to understand and process human language, facilitating sentiment analysis, topic extraction, content categorization and language comprehension. This improves content understanding and enables advanced content analysis at scale.

What is the role of AI in translation and localization?

AI plays a crucial role in improving translation accuracy, speed and consistency, supporting human translators with automated tasks such as machine translation, post-editing, terminology management and quality assessment.

How accurate is AI-powered machine translation (MT)?

Machine translation has made significant advancements in recent years, particularly with neural machine translation (NMT) models. However, it’s important to note that human post-editing is often required to ensure accuracy and fluency.

Can AI replace human translators?

AI is not designed to replace human translators but rather to assist them. The cultural understanding, context and creative nuances brought by humans are crucial for producing high-quality translations.

How does AI assist in terminology management?

AI can automatically extract and organize terminology from large volumes of content, suggesting relevant terms to translators and providing terminology databases that can be integrated into translation tools.

What benefits does AI bring to quality assurance (QA) in translation?

AI can help to identify translation errors, inconsistencies and formatting issues, flagging potential problems and reducing manual effort in proofreading and QA. However, human review remains essential for achieving the highest quality standards.

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Can AI handle cultural adaptation in localization?

AI can analyze cultural nuances, but true cultural adaptation requires human expertise and understanding of the target culture and local trends, as AI alone may not capture all the subtleties and context-specific considerations.

How can AI be used in localization projects?

By automating repetitive tasks such as file format conversion, text extraction and content segmentation, AI helps to speed up translation, post-editing and quality assurance processes. These improvements enable us to handle larger content volumes and meet tight deadlines.

Does AI support speech recognition and transcription?

Yes, AI-powered speech recognition technology enables the automatic conversion of spoken language into written text. This technology is valuable for transcription services, subtitling, voiceover localization and other multimedia localization tasks.

What are the limitations of AI in localization and translation?

Despite significant advancements, AI still faces challenges with complex and specialized content, idiomatic expressions, cultural references and context-dependent meanings. Human expertise remains crucial to ensure translation quality.

What is a language model?

A language model (LM) is a mathematical construct designed to mimic linguistic abilities through sophisticated calculations.

Are all LMs the same?

No, various LMs serve different purposes. Some fuel other models for downstream tasks, while others predict the next word in a sequence, as seen in smartphone keyboards.

What is an LLM?

LLM stands for "large language model". It’s large in terms of the number of parameters in the underlying neural networks. Correlated (not strictly) to that is the amount of data used to train such models.

How can I put the size of an LLM in context?

"Standard" machine translation models are in the range 100-300 million parameters. Commonly talked about LLMs are in the billions (GPT3 has 175 billion parameters.)

Why does size matter when it comes to LLMs?

More parameters means that the language model can retain more "knowledge" from the examples it has seen during training. It also has massive implications in terms of computational cost (and efficiency, latency, etc.).

What is ChatGPT?

ChatGPT is a specific "flavor" of GPT3 (now 4), which itself is one of the most powerful LLMs commercially available. It’s trained using a method called "reinforcement learning with human feedback" (RLHF), in which human annotators "guide" the model toward the expected behavior.

How does ChatGPT keep track of a conversation?

It mostly pretends to do so, by using context windows. Basically, the whole conversation is processed again at each iteration, so that the model has access to the whole context.

Can LLMs search the web, like Bing or Google?

No, LLMs (Large Language Models) like GPT-3 do not have direct access to search engines like Bing or Google. They are pre-trained on a vast amount of data from the internet, but they do not have the ability to actively browse the web or perform real-time searches. Their responses are generated based on the patterns and information present in their training data.

Can the content generated by LLMs be trusted?

Not entirely. While these models excel at creating coherent sentences, they may lack accuracy in terms of content and factual correctness.

AI-Powered Localization and Content Services

AI-driven Solutions for Global Content Needs

AI-Optimized Machine Translation

Connectivity & API integrations

TMS Tools & Consulting

Acolad Portal

Accelerate Your Globalization Journey

Machine Translation

Automated AI Transcription

Natural Language Processing (NLP)

AI Content Generation

The Power of Automated Text Generation

Optimize Your Content Without Sacrificing Quality

Content Optimization

Process and Workflow Automation

Translation Quality Assurance

Ready to dive deep into AI?

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New to AI content and language tools? We have answers.

Can AI be used to automate content creation?

What are the benefits of AI for content creation?

Can AI personalize user experiences?

What are the risks associated with AI-generated content?

Can natural language processing (NLP) improve content analysis?

What is the role of AI in translation and localization?

How accurate is AI-powered machine translation (MT)?

Can AI replace human translators?

How does AI assist in terminology management?

What benefits does AI bring to quality assurance (QA) in translation?

Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Can AI handle cultural adaptation in localization?

How can AI be used in localization projects?

What is a language model?

Are all LMs the same?

What is an LLM?

How can I put the size of an LLM in context?

Why does size matter when it comes to LLMs?

What is ChatGPT?

How does ChatGPT keep track of a conversation?

Can LLMs search the web, like Bing or Google?

Can the content generated by LLMs be trusted?