NLP & Text Annotation
Training data for language models that actually understand language
Natural language processing demands annotation that captures context, intent, and nuance — not just keyword tags. Our NLP annotation teams are trained in linguistics and work across English, Vietnamese, Thai, Malay, and other Southeast Asian languages.
Capabilities
- Named Entity Recognition (NER) — people, places, organizations, products
- Sentiment analysis — fine-grained (positive, negative, neutral, mixed)
- Text classification — topic, category, intent, urgency
- Intent detection and slot filling for conversational AI and chatbots
- Coreference resolution and relationship extraction
- Question-answer pair generation for RAG and LLM fine-tuning
- Instruction tuning datasets for RLHF pipelines