High-Velocity Human Verification

Sinhala Machine Translation Post-Editing (MTPE) Services

Harness the scalability of machine translation without sacrificing linguistic integrity. Native Sinhala post-editors turn raw AI output into fluent, publication-ready content.

Domain Overview & Linguistic Strategy

Machine translation engines (Google Cloud Translation, DeepL, Microsoft Translator, AWS Translate) and large language models (GPT-4, Claude, Gemini) have dramatically lowered the barrier to generating raw text volume. However, Sinhala remains an under-resourced, morphologically complex language where automated engines frequently produce critical mistranslations, comical hallucinations, and unnatural syntactic phrasing.

Relying on unedited machine translation in customer-facing software, legal agreements, or medical guides risks severe reputational and commercial damage. Sinhalaize bridges this gap with professional Machine Translation Post-Editing (MTPE)—combining computational speed with rigorous human linguistic judgment.

We support global enterprises, localization vendors, and AI developers with calibrated post-editing tiers: Light Post-Editing (focused on raw accuracy and meaning preservation) and Full Post-Editing (delivering publication-grade fluency, style, and natural cadence).

Core Service Highlights & Capabilities

3x Faster Time to Market

Leverage machine draft throughput while guaranteeing human oversight on every sentence.

Significant Cost Savings

Save up to 35% to 50% compared to greenfield human translation on repetitive or structured corpora.

Calibrated Quality Tiers

Choose Light MTPE for internal documentation or Full MTPE for consumer-facing campaigns.

Continuous Engine Feedback

Systematic tagging of recurring engine errors to help your engineering team train better models.

Linguistic & Technical Challenges Solved

Sinhala localization presents unique morpho-syntactic and typography obstacles that standard automated translation tools fail to navigate:

Literal translation of English idioms that make zero sense in Sinhala
Hallucination of non-existent Sinhala compounds by generative LLMs
Inappropriate honorific switches mid-paragraph in automated output
Corrupted negation (translating "do not click" as "click" due to word-order inversion)

Structured Project Delivery Workflow

Engine Assessment

Sample evaluation of raw MT output to verify post-editability and establish edit rules.

Linguistic Post-Editing

Native linguists correct mistranslations, terminology, grammar, and fluency.

Consistency & Terminology QA

Automated and human checks ensure key domain nouns adhere to the project glossary.

Final Read-Through

Independent native reviewer verifies natural rhythm and cultural appropriateness.

What You Receive: Verified Deliverables

Corrected, publication-grade Sinhala text aligned with your brand guidelines
Bilingual post-edited files in XLIFF, TMX, JSON, or bilingual tables
MT quality score report categorizing engine error frequency (TER / edit distance metrics)
Curated terminology updates to improve your private translation memory

Frequently Asked Questions About This Service

What is the difference between Light MTPE and Full MTPE?

Light MTPE aims to make content comprehensible and factually accurate by correcting obvious mistranslations, omissions, and major grammatical errors without spending time on stylistic elegance. Full MTPE produces publication-ready text that reads naturally and feels as though it was authored by a native Sinhala human translator.

When should a company use MTPE instead of human translation?

MTPE is ideal for high-volume, structured, or time-sensitive content such as product manuals, customer support knowledge bases, internal documentation, and e-commerce listings where the source text is clear and direct.

Can you post-edit Sinhala text generated by OpenAI, Anthropic, or Google LLMs?

Yes. We regularly review and refine generative AI outputs in Sinhala, fixing LLM hallucinations, awkward sentence cadence, and terminology drift.

How much faster is Sinhala MTPE compared to standard human translation?

Depending on source quality and the post-editing tier, our linguists can process 3,500 to 5,000 words per day with MTPE, compared to 1,500 to 2,000 words for greenfield translation.