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[ SignTong ]EQ4ALL Sign Language Translation Technology: What Makes It Different? [Part 3]

12 Feb 2026
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Infographic for Part 3 of EQ4ALL’s sign language translation series titled “EQ4ALL AI Gets Smarter Every Day.” It illustrates a flywheel model showing continuous improvement through translation accuracy gains, increased training data, accumulated translation history, customer growth, and reduced costs. Performance metrics highlight a 44% reduction in error rate and over 90% cost reduction compared to 2019. Additional charts show improvements after LLM integration, including a 25% increase in BLEU score and a 43% improvement in TER.


| Why Does EQ4ALL AI Get Smarter the More You Use It?

AI-powered sign language translation is not a technology that is “complete” once developed.

It must continuously learn from real-world usage—
how it is used in practice, which expressions feel more natural,
and where misunderstandings may occur.

Based on this understanding, EQ4ALL has advanced its technology with one clear goal:
to build a sign language translation AI that improves the more it is used.


| The Core of a Growing Sign Language AI: The Flywheel Structure

The defining feature of EQ4ALL’s sign language AI is its Flywheel structure, where:

Customer usage → Learning → Performance improvement → Cost reduction → Expanded usage
creates a continuous cycle of growth.

Within this structure, EQ4ALL’s AI evolves as follows:

  • Increased sign language translation usage ✔️ Stronger contextual understanding

  • Accumulated translation history                   ✔️ Deeper contextual learning

  • Improved translation accuracy                     ✔️ Reduced correction and operational costs

  • Lower costs                                                     ✔️ Expanded customer base and broader application

In short, the more sign language translation is used, the faster and more accurate EQ4ALL’s AI becomes.


| Growth Proven by Measurable Results

EQ4ALL’s technological progress is validated by tangible outcomes:

  • 44% reduction in Translation Edit Rate (TER)

  • Over 90% reduction in translation costs (compared to 2019)

These results are not simply the product of technical upgrades,
but of continuous learning and improvement in real service environments.

EQ4ALL proves that “the more it’s used, the better it gets”—backed by data and performance.


| Smarter Sign Language Translation with Large Language Models (LLMs)

EQ4ALL has integrated Large Language Model (LLM) technology into its sign language translation system.

As a result:

  • Contextual understanding has significantly improved

  • Expressions have become more natural and human-like

  • BLEU scores increased by 25%

  • TER improved by an additional 43%

This marks a step forward—from mechanical translation to AI sign language translation that communicates more like a human.


| Continuous Evolution: EQ4ALL Sign Language AI

EQ4ALL’s technology continues to evolve at this very moment.

By connecting real-world usage data, feedback from sign language users and experts, and ongoing AI advancements, EQ4ALL is building translation systems that are more accurate, more natural, and more accessible than ever before.

Infographic explaining EQ4ALL’s AI-driven communication and data connectivity concept. A user profile card is linked to message panels, alongside a light bulb icon symbolizing intelligent analysis and insight generation. The network-style layout visualizes AI-powered conversations and structured information flow.

 EQ4ALL Co., Ltd. 

 CEO Kevin Inkoo Lee 

 Business Registration Number 161-81-00885 

 Email contact@eq4all.co.kr 

 Phone 02-6207-7898 

 Fax 02-6207-7897 

 Address 4F, Koram Venture Building, 11, Nonhyeon-ro 76-gil, Gangnam-gu, Seoul, Republic of Korea (06224) 


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 EQ4ALL creates an environment where everyone can understand and use information through AI-powered accessibility technologies. 

 From sign language translation to easy-to-understand information, we design solutions that connect more people to the world. 

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