# What Is Translation Memory
**Source:** https://es.multilipi.com/help/article/what-is-translation-memory
**Language:** Spanish

---

ARTÍCULO DE AYUDA 

# What Is Translation Memory?

![MultiLipi](/_next/image?url=https%3A%2F%2Fik.imagekit.io%2Fmultilipi%2Fmedia%2Fprofile_images%2Fpost_LIb3wFf.png&w=3840&q=75)

MultiLipi •6/19/2025•

10 Minsleer

A **Memoria de Traducción (TM)**  is the backbone of a scalable localization strategy. Technically, it is a **structured database** that pairs your source segments (sentences) with their approved translations. MultiLipi's engine consults this database in real-time before requesting a new AI translation. If we recognize a sentence you have translated before, we retrieve it from memory instantly—saving you quota, time, and ensuring 100% consistency.

This guide details the **Storage, Retrieval, and Deduplication** mechanics of your TM.

## 1. The Mechanics of Memory

How the engine thinks.

1

### Ingestion & Segmentation:

When your site loads, MultiLipi breaks the content into distinct "segments" (usually sentences or short phrases).

2

### Hashing & Lookup:

The system generates a unique hash for each segment and queries your TM database.

3

### Match Found:

The stored translation is served immediately (Zero Quota Cost).

✓ Zero Quota Cost

4

### No Match:

The segment is sent to the Neural AI for fresh translation.

5

### Commit:

Once a new translation is generated (and optionally approved by a human), it is "Committed" to the TM for future reuse.

## 2. The Efficiency Layers

MultiLipi's TM operates on two levels of recognition:

### 100% Matches (Exact Deduplication):

Scenario:

Your footer says `"Copyright 2026"` on 500 different product pages.

Action:

We translate it **once**. The TM applies that single translation to all 500 instances automatically.

Benefit:

💰 Massive quota savings

### Fuzzy Matches (Similarity Detection):

Scenario:

You have a sentence `"Free shipping on orders over $50"` and a new sentence `"Free shipping on orders over $100"`.

Action:

The engine recognizes the high similarity and suggests the previous translation as a base, requiring only a **minor numerical edit**.

Benefit:

⚡ Accelerated human review workflows

## 3. Strategic Benefits

Why investing in your TM pays dividends:

| Impact Area | Benefit |
| --- | --- |
| Cost Velocity | As your TM grows, your "cost per page" drops because more content is matched from memory rather than generated fresh. |
| Brand Consistency | Ensures that specific phrasing (e.g., "Sign Up" vs. "Register") remains identical across your entire digital footprint. |
| Speed to Market | Updates to global headers/footers propagate instantly across millions of pages without manual intervention. |

### Cost Velocity

Decreasing cost per page as TM grows

↓ 60%

Average Cost Reduction

### Brand Consistency

Identical phrasing across all pages

100%

Terminology Match

### Speed to Market

Instant propagation of updates

< 1s

Update Deployment

## 4. Maintenance Best Practices

Your TM is a database; it requires hygiene to remain effective.

### Human Validation:

AI is the start, not the end. When a human reviewer edits and approves a string, that **"Gold Standard"** version is saved to the TM, overriding the AI version for all future occurrences.

### Glossary Integration:

While TM remembers sentences, the Glossary enforces terms. Use them together:

- El **Glosario**  ensures "Apple" is never translated as a fruit
- El **TM** ensures the sentence structure remains consistent

### Pruning:

Occasionally audit your translations. If you change your brand voice (e.g., from formal to casual), updating the TM entries ensures the old tone doesn't accidentally resurface in future matches.

### ¿Fue útil este artículo?

### En este artículo

Compartir

## ¿Listo para Globalizar?

Discutamos cómo MultiLipi puede transformar tu estrategia de contenido y ayudarte a alcanzar audiencias globales con optimización multilingüe impulsada por IA.

Rellena el formulario y nuestro equipo se pondrá en contacto contigo en 24 horas.