Sinhala AI Language & Evaluation Services
Partner with native Sinhala computational and linguistic experts to evaluate LLM responses, curate high-quality training datasets, and accelerate multilingual AI development.
Domain Overview & Linguistic Strategy
Building frontier AI models that perform reliably in low-resource and mid-resource languages requires nuanced human feedback. Automated benchmarks like BLEU or chrF are inadequate for evaluating complex reasoning, cultural safety, and dialectal nuances in Sinhala.
Sinhalaize serves global AI laboratories, LLM developers, and conversational AI teams. We provide specialized human-in-the-loop evaluations, RLHF preference ranking, prompt engineering in Sinhala, red-teaming for safety, and clean pre-training data curation.
Core Service Highlights & Capabilities
RLHF & DPO Annotation
High-precision human preference ranking and comparative scoring of model completions.
Instruction-Following QA
Evaluating whether Sinhala responses adhere to multi-constraint prompts and reasoning chains.
Cultural Safety Red Teaming
Proactive discovery of jailbreaks, toxic outputs, and culturally offensive Sinhala generations.
Gold-Standard Data Curation
Creation of high-quality bilingual paired corpora and Sinhala synthetic data validation.
Linguistic & Technical Challenges Solved
Sinhala localization presents unique morpho-syntactic and typography obstacles that standard automated translation tools fail to navigate:
- Scarcity of high-quality, uncorrupted Sinhala web text for model pre-training
- LLMs mixing colloquial spoken markers with formal literary grammar in single responses
- Failure to follow complex multi-turn reasoning prompts delivered in Sinhala
Structured Project Delivery Workflow
What You Receive: Verified Deliverables
- Labeled, structured datasets in JSONL / Parquet with high inter-annotator agreement
- Comprehensive evaluation report highlighting model failure modes and capability gaps
- Curated domain-specific prompt and gold-answer test evaluation suites