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AI-related services

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AI systems are only as good as the data behind them. At Eurotranslate, we help technology teams build smarter, more reliable AI by providing high-quality linguistic data and human evaluation for languages that are often overlooked and difficult to source.

We specialize in South Slavic and Balkan languages — Slovenian, Croatian, Serbian, Bosnian, Macedonian, and Albanian — where finding skilled native linguists and consistent data quality is a real challenge. Our team bridges that gap with hands-on expertise and full project accountability.

In other words: if your model struggles with fluency, context, or accuracy, that’s exactly where we come in.

Data Annotation & Labeling

Well-labeled data is what allows machine learning models to understand language properly. Our linguists manually annotate and review datasets to ensure accuracy, consistency, and real-world relevance so your model correctly understands language structure, named entities, and user intent.

  • Named Entity Recognition (NER): Identifying and tagging people, locations, organizations, dates, and other key entities.
  • Sentiment Analysis: Labeling tone and intent (positive, negative, neutral) for customer feedback, social media, and review platforms.
  • Text Classification: Structuring content into categories to support training pipelines and automation workflows.
  • Intent Annotation: Helping conversational AI systems better understand user queries and responses.
  • Custom Annotation Schemes: Adapting to your specific guidelines, taxonomy, and model requirements.
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AI Output Evaluation & Quality Control
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Even advanced models struggle with fluency, nuance, and factual accuracy in less-resourced languages. We provide human evaluation to refine and improve AI-generated content.

This is where raw model output becomes something you can actually put in front of users.

  • RLHF (Reinforcement Learning from Human Feedback): Rating, ranking, and comparing model outputs to improve performance.
  • Hallucination check: Identifying unsupported or fabricated information
  • Fluency and clarity editing: Making output sound natural, not translated or robotic
  • Cultural & Localization Review: Adapting tone, phrasing, and context to match local expectations and usage.
  • Prompt & Response Testing: Evaluating how models behave across different inputs and edge cases.
Dataset Creation & Curation

High-performing AI models require clean, structured, and relevant data. We help you build datasets that are ready for training from day one.

  • Data Cleaning & De-duplication: Removing noise, inconsistencies, and redundant entries from large datasets.
  • Domain-Specific Data Collection: Sourcing content in specialized fields such as legal, medical, financial, and technical domains.
  • Multilingual Dataset Alignment: Creating parallel datasets across multiple languages for translation and NLP models.
  • Data Structuring & Formatting: Delivering datasets in JSON, CSV, XML, or formats tailored to your pipeline.
  • Ongoing Dataset Maintenance: Updating and refining datasets as your model evolves.
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Why Eurotranslate?

  • Direct collaboration, no crowdsourcing. Your project is handled by our in-house team of experienced linguists — not anonymous contributors.

  • Strong coverage of underrepresented languages. We work with languages that global providers often struggle to support at scale.

  • Flexible and developer-friendly. We adapt to your workflows, tools, and timelines, whether you’re training a new model or improving an existing one.

  • Quality you can track. Clear guidelines, consistent annotation, and transparent communication throughout the project.

Let’s make your AI sound right

If your models need better language understanding — or simply better output — we can help you get there.
Get in touch

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