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# 使用自动本地化

## 针对 300 多种语言的精确代理本地化，最适合非英语市场

## Problem

Manual translation is costly, slow, and unscalable.

## Solution

Context-aware automated translation.

## Result

90% time savings, high quality for creative content.

## Fluency benchmark

Algebras AI outperformed competitors with top median scores in fluency and COMET benchmarks (May 2025, Asian & MENA languages), delivering unmatched quality for multilingual localization solutions.

With fluency scored on a 10-point scale (evaluated automatically or by human experts), Algebras systems will gradually expand to thousands of languages supported across ML systems.

Benchmarked solutions are: **Base** (LLM orchestration), **Agentic** (multi-agent system), and **Prompted** (multi-agent system with dynamic prompting), enabling flexible optimization depending on context. ​

40+
languages

Context/terminology awareness

Auto-subtitles

and timing

Style

customization

## 简化本地化：   offers

Combines glossaries, AI quality checks, and adaptive content for businesses needing precise translation across many languages and formats.

### Smart model selection

The system auto-selects the best translation model per language pair using built-in quality assessment.

Example:

**‍** You’re translating UI strings from English to Japanese and English to Spanish.

**for English → Japanese**

the system picks Model A for its precision with short technical strings.

**for English → Spanish**

it uses Model B for fluent, marketing-friendly output.

Result:

Each string is routed through the best-performing engine for **its specific language pair and content type**, without manual configuration.

### Proprietary benchmarking

Continuous testing and evaluation of translation models to ensure top performance. _‍_

Example:

Your team uploads a batch of marketing copy in multiple languages.

Algebras runs a background quality check:It compares Model A (e.g. Google Translate), Model B (e.g. DeepL), and Model C (e.g. NLLB by Meta) on the same text segments.Using reference translations, linguistic scoring, and in-context evaluation, it selects the best output.

**for English → Korean**

DeepL may be chosen for smoother sentence flow in product descriptions.

**for English → Arabic**

NLLB might win due to better handling of dialectal nuances and right-to-left formatting.

Result:

Algebras detects that Model C outperforms the rest for your French marketing content and automatically uses it for all future similar content.

### Automatic glossary extraction and support

Maintains terminology consistency without manual effort. _‍_ ‍

Example:

**‍** Your product contains recurring terms like: “Premium Plan”,  “User Dashboard”,  “AI Assistant”.

Algebras automatically extracts these from your content and creates a glossary. Then, even across different contexts:

Try our Premium Plan today → consistently translates "Premium Plan"

the same way:

Go to your User Dashboard → glossary-enforced translation

Result:

You can **edit, approve, or lock** glossary terms as needed — but the system handles the heavy lifting automatically.

### Pixel-length control

Ensures translations fit precisely in UI elements, preserving visual layout.

Example:

You have a mobile app with a CTA button:

Get Started (80px width in design)

**Default German translation:**

Loslegen

→ fits perfectly

**But in French:**

Commencer maintenant

→ is too wide

Result:

Algebras detects the overflow and automatically adjusts:
→ Suggests Démarrer (a shorter, natural equivalent)
→ Ensures it stays under 80px and preserves UI alignment

## What Is the Algebras AI Glossary?

The glossary in Algebras AI is an automated, customizable tool that ensures consistent, context-aware translation of terms, names, and industry vocabulary across products and platforms.

## Glossary reuse

→ Save glossaries and keep them updated, while the model reuses it and speaks the language of your game universe, while understanding it coherently and comprehensively.
→ Use API & SDK for reusing and keeping glossary updated in many languages.

## Case Studies

**InDrive — Voice localization**  
Content localization for global expansion in MENA & Central Asia

**Mama Space — App localization**  
Multilingual content localization for pregnant users worldwide

## 解锁 Algebras AI 的力量

### What makes Algebras Translate Pro different from other translation tools?

Algebras Translate Pro intelligently routes content through the best translation models based on language pair and accuracy, with built-in benchmarking and pixel-level layout control — features rarely found in standard tools.

### Can I use my own glossary or terminology?

Yes. Algebras Translate Pro supports automatic glossary extraction and allows full integration of your own term bases to ensure consistent, brand-accurate translations.

### How does pixel-length control work?

The system measures and adjusts translated content to fit within the original UI layout, preserving the design without text overflow or clipping.

### Is it compatible with existing localization workflows?

Absolutely. Translate Pro is designed to integrate easily with your current tools and workflows via API and supports standard localization formats.

### How do you ensure translation quality?

We maintain a proprietary evaluation system that continuously benchmarks multiple translation models for each language pair, selecting the most accurate option dynamically.

## Ready to take localization to the next level?

**Algebras Translate Pro** and automate translation without compromising quality or design.