Machine Translation and AI Services for Global Content

Faster Translation and Better AI Data, Reviewed by Native Linguists

AsiaLocalize provides machine translation and AI language services: we select and tune MT engines, post-edit output with native linguists, and deliver AI data services such as data collection, annotation, and prompt and search evaluation in 120+ languages, backed by ISO 17100 certified translation processes.

ISO 17100:2015 certified badge

Get a Free Quote for Your Business

Order a free quote by filling the form below

Quick definition

What Is Machine Translation?

Machine translation (MT) is the automatic translation of text by software. Modern neural MT engines and large language models translate whole sentences in context and can follow tone, terminology and formatting instructions. With the right engine, terminology control and human review, MT lets you translate more content, faster, at a lower cost per word.

Machine translation at a glance

See also: MTPE services, machine translation evaluation, professional translation and all languages we support.

Published: · Last reviewed:

Machine translation tools workflow showing AI translation, glossary control, translation memory, and human quality review

Our MT and AI services

Which AI Data and Language Services Do We Offer?

Human-in-the-loop services that improve translation quality and the data your AI systems learn from.

MTPE Services

Human post-editing of machine translation for accuracy and fluency.

Explore →

Machine Translation Evaluation

Side-by-side evaluation of translations generated by AI models.

Explore →

AI Data Annotation

Expert labeling of datasets to improve machine learning accuracy.

Explore →

Data Collection

Diverse datasets collected to fit your project needs.

Explore →

Search Evaluation

Expert ratings that improve search relevance and quality.

Explore →

Prompt Evaluation

Expert reviews of AI prompts and responses.

Explore →

Prompt Engineering

Prompts designed and optimized for better AI performance.

Explore →

Ad Evaluation

Analysis of AI-generated ads for relevance and effectiveness.

Explore →

AI Content Creation

Human-reviewed AI content tailored to your audience.

Explore →

AI Transcription

Audio and video transcription with human review.

Explore →

Choosing an approach

When Should You Use Machine Translation?

MT is a strong fit for high-volume, low-risk content and first drafts. For brand, legal, medical and safety-critical content, a native linguist should post-edit or translate from scratch.

Which translation approach fits your content?
Recommended approachWhy
Internal documentation and knowledge basesRaw MT or light post-editingHigh volume; readers need the meaning more than the style
Support tickets, product catalogues and listingsLight or standard post-editingSpeed matters, but terminology must stay consistent
User-generated contentRaw MTVolumes are too high for human review and content is short-lived
Marketing and brand messagingHuman translation or transcreationThe value sits in tone, wording and cultural fit
Legal, medical and regulatory documentsHuman translation with independent reviewErrors carry legal or clinical consequences
Safety-critical instructionsHuman translation with reviewMistakes can cause harm

Machine translation post-editing

How Does Machine Translation With Human Post-Editing (MTPE) Work?

For most businesses the answer is a hybrid: AI produces the draft, then a native linguist corrects and refines it. Choose the level of review your content needs.

Machine translation post-editing diagram showing light post-editing and full post-editing steps from MT output to human quality

Light Post-Editing

Accuracy and clarity

Fixes meaning, terminology and obvious errors so content is understandable.

  • Internal documents and knowledge bases
  • Support content and large catalogs

Full Post-Editing

Publication quality

Edits style, fluency and consistency to match professional human translation.

  • Customer-facing web and product content
  • Content that carries your brand name

Human Translation

Brand-critical content

For marketing, legal and medical content, we recommend professional human translation instead.

  • Transcreation for campaigns and slogans
  • Independent review for regulated documents

Learn more about our MTPE services, professional translation and transcreation for marketing.

Our MT workflow

How Do We Choose and Tune the Right MT Engine?

MT quality varies by language pair and subject, so we build each workflow around your content instead of defaulting to one engine.

01

Engine Selection

We test neural MT and LLM engines against your content and language pairs.

02

Terminology and Style Control

Glossaries, brand terms and do-not-translate lists keep output on-brand.

03

Translation Memory First

Approved translation memory is reused, so signed-off wording is never re-translated.

04

Quality Evaluation

We assess raw output on a sample before quoting, so the effort and price reflect reality.

05

Human Review

Native linguists edit to your chosen quality tier, backed by ISO 17100 certified processes.

Translation workflow diagram with working and master translation memory, translation and subject matter expert review

Asian language expertise

Why Is Machine Translation Harder for Asian Languages?

Asian language pairs are where raw MT struggles most, and where human review matters most. We know which pairs can lean on automation and which need a linguist’s hand.

Machine translation post-editing workflow with AI output, human review, terminology checks, and quality assurance

Word Segmentation

Chinese, Japanese and Thai do not separate words with spaces, so segmentation errors cascade through the sentence.

Politeness and Honorifics

Japanese and Korean encode politeness levels that engines often flatten, so text reads as rude or oddly casual.

Chinese Script Variants

Traditional and Simplified Chinese are not interchangeable across markets such as Taiwan, Hong Kong and mainland China.

Tones and Diacritics

Vietnamese and Thai rely on tonal and diacritic precision that small MT errors can destroy.

Our Achievements

10 Million Words

8,000+ Projects

10+ Years

120+ Languages

Why Choose Us?

AI-Driven Localization, Human Expertise

Global Support Across Time Zones, Locally Tuned Services

Industry-Specific Expertise Across Key Verticals

ISO 17100 and ISO 13485 Certified

Translation, Engineering and DTP in One Project

Customer-First Project Management, Every Step

Team members stacking their hands together over a meeting table

Ready to Scale Translation With MT and AI?

Tell us about your content, languages and quality goals. We will test MT on a sample and recommend the right mix of machine translation, post-editing and human review.

Machine Translation FAQ

Machine translation is the automatic translation of text by software. Today’s neural and AI systems translate in context, making them far more fluent than earlier rule-based tools.

For low-risk, high-volume content it often is. For marketing, legal, medical or brand-critical material, raw output should be post-edited by a native linguist before publication.

Machine translation is the automated draft; MTPE adds a human linguist who corrects and refines that draft to an agreed quality level.

We review the content type, audience and risk, then test MT output on a sample in your language pair. If the quality and risk allow it, we recommend raw MT or a post-editing level; if not, we recommend human translation.

Usually yes, because the linguist edits rather than writes from scratch. Actual savings depend on how well the engine performs on your language pair and content, which is why we evaluate a sample before quoting.

120+ languages, including all major Asian languages — Japanese, Korean, Chinese (Simplified and Traditional), Thai, Vietnamese, Bahasa, Hindi, Tagalog and more.

Beyond translation, we provide multilingual AI data services: data collection, data annotation, prompt evaluation, prompt engineering, search evaluation and machine translation evaluation.