Artificial Intelligence

How AI works

AI systems process data through statistical models rather than explicit rule based logic. By learning from examples, an AI system develops the ability to generalise beyond previously seen inputs. This allows it to handle a wide range of linguistic, visual, or behavioural patterns with significant flexibility. Because of this adaptability, AI is useful for tasks such as speech recognition, image classification, automated content generation, and multilingual text processing.

With the introduction of large language models, AI can interpret documents, summarise long texts, extract meaning, and support decision making with an advanced level of fluency and coherence.

AI in translation and localisation

AI plays an increasingly important role in modern translation workflows. Large language models can:

• process full documents rather than isolated segments
• capture stylistic and narrative patterns
• maintain terminology consistency
• adapt to domain specific vocabulary

AI driven translation systems improve accuracy by recognising contextual relationships across sentences. They also reduce fragmentation caused by sentence based translation and reinforce linguistic coherence across entire documents. This allows translators and LSPs to work more efficiently while maintaining high professional standards.

How AI enhances translator productivity

AI improves productivity through features such as:

• glossary integration
• contextual disambiguation
• style adaptation
• terminology propagation across long texts

Extended context windows help AI avoid common translation errors such as inconsistent naming, gender mismatches, or incorrect terminology usage. In post editing workflows, AI suggestions reduce repetitive work and allow linguists to focus on nuance, readability, and regulatory compliance. When combined with translation memories and domain constraints, AI supports high accuracy suitable for specialised fields.

AI in enterprise level localisation

AI supports organisations managing multilingual content by enabling:

• automation
• scalability
• integration with CAT tools, CMS platforms, and localisation pipelines

API based AI systems can embed translation into existing workflows. This enables real time translation, automated QA checks, advanced terminology management, and continuous localisation processes where updates are translated immediately as they are created.

How Trad AI applies artificial intelligence

Trad AI applies artificial intelligence within a secure, controlled, and professional environment created specifically for linguists and translation teams. All AI processing runs through user owned API keys, ensuring full confidentiality and preventing user content from being used for model training. The platform supports document level context, dynamic glossary usage, and automated translation memory generation. This produces consistent, high quality translations suitable for professional and regulated domains. By aligning with GDPR and the EU AI Act, Trad AI ensures that AI powered translation remains transparent, accountable, and compliant with European standards for data protection.