Machine Translation Evaluation Services

Side-by-Side MT and AI Translation Evaluation by Native Linguists

AsiaLocalize provides machine translation evaluation services that compare the output of MT engines and AI models side by side. Native-speaking linguists and subject-matter experts score accuracy, fluency, terminology and cultural fit in 120+ languages, then report which engine performs best and how to improve it.

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Quick definition

What Is Machine Translation Evaluation?

Machine translation evaluation is the assessment of translations produced by MT engines or large language models against defined quality criteria. Side-by-side evaluation compares several engines on the same source text, so you can choose the best model for each language pair and track quality across model versions.

MT evaluation at a glance

  • Compares: proprietary and open-source MT engines and AI model versions.
  • Criteria: accuracy, meaning, fluency, terminology, style and cultural fit.
  • Evaluators: native-speaking linguists and subject-matter experts.
  • Output: scores, error analysis and recommendations for model improvement.
  • Languages: 120+, including rare Asian languages.

See also: machine translation and AI services, MTPE services and prompt evaluation.

Published: · Last reviewed:

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Evaluation scope

What Does Our MT Evaluation Assess?

Our evaluators use standardized metrics and customized frameworks to find subtle differences in quality between engines and language pairs.

Engine Comparison

Performance compared across multiple MT engines and AI models on the same content.

Meaning and Intent

Checks that the meaning and intent of the source survive in the target language.

Idioms and Culture

How each engine handles idiomatic expressions, cultural references and sensitivities.

Terminology and Style

Consistency of terminology, tone and style across segments and documents.

Technical Accuracy

Accuracy in specialized domains such as medical, legal and technical content.

Version Tracking

Improvements and regressions tracked across model versions over time.

How Does Side-by-Side Human Evaluation Compare to Automatic MT Metrics?

Automatic scores are fast, but human evaluators catch what metrics miss. Many teams use both.

Automatic MT metrics vs. human review vs. side-by-side human evaluation
Automatic metricsSingle-output human reviewSide-by-side human evaluation
SpeedFastestModerateModerate
CostLowestMediumMedium to high
Captures meaning and cultural nuanceLimitedYesYes, compared across engines
Needs reference translationsUsuallyNoNo
Compares engines directlyOnly by scoreNoYes, on the same source
Best forQuick regression checksChecking one engineChoosing and improving an engine

Our process

How Does Side-by-Side MT Evaluation Work?

A six-step process that turns comparisons into actionable insights for improving your machine translation.

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01

Translation Collection

We gather output from the AI models and engines you want to compare.

02

Criteria Setup

We define quality and consistency benchmarks for your content.

03

Comparative Analysis

Native linguists evaluate accuracy, fluency and cultural relevance.

04

Quality Assessment

We identify discrepancies and the most accurate translations.

05

Detailed Reporting

You receive feedback and recommendations for model training.

06

Final Selection

We identify the best output to guide future model improvements.

Languages and domains

Which Languages and Domains Do You Evaluate?

We evaluate MT output in 120+ languages, including common and rare Asian languages, with subject-matter experts in each domain.

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Life Sciences and Medical

Clinical trials, clinical research and biotechnology.

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Media and Telecommunications

Entertainment, media and communication services.

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Technology and Engineering

IT, software, automotive, industrial and manufacturing.

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Legal and Business

Legal, marketing, advertising and business content.

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Finance and Energy

Banking, finance, energy, oil and gas.

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eCommerce and Technical

eCommerce listings and technical documentation.

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Our Achievements

10 Million Words

8,000 Projects

500 Happy Clients

120 Languages

Why Choose Us?

AI-Driven Localization, Human Expertise

Always-On Global Support, Locally Tuned Services

Industry-Specific Expertise Across Key Verticals

ISO-Certified Quality and Data Security

Turnkey Solutions That Save Money and Time

Customer-First Project Management, Every Step

Trusted by the world’s leading companies

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Maximize Your AI Translation ROI

Tell us which engines, languages and content types you want to compare. We will design an evaluation framework and quote for your project.

Frequently Asked Questions About Machine Translation Evaluation

Machine translation evaluation assesses the output of MT engines and AI translation models against quality criteria such as accuracy, fluency, terminology and cultural fit. Side-by-side evaluation compares several engines on the same source text.

We evaluate a wide range of AI translation models, including proprietary systems and open-source solutions, across many languages and domains.

Evaluations are carried out by native-speaking linguists and subject-matter experts who use standardized metrics and customized frameworks to keep results consistent and accurate.

Automatic metrics are fast but often miss meaning, idioms, tone and cultural nuance. Human side-by-side evaluation shows which engine actually reads better for real users, and many teams combine both.

Yes. We evaluate translations in technical, legal, medical, financial and other specialized domains with subject-matter experts.

We evaluate machine translation in 120+ languages, including common and rare Asian languages.

Turnaround depends on project scope, the number of engines and language pairs. Contact us through the quote form and we will guide you through setting up your evaluation.