Domain-specific
Neural Machine Translation engine with continual learning

We train our NMT engine on specialized data for each domain, and the engine continuously gets smarter and performs better with every iteration

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3x

FAST

50%

LOWER COST

90%

PRECISION
Bering Lab solves
complex translation problems using AI and automation

Translations, especially for complex domains and documents, have traditionally required the work of expert human translators, resulting in significant time and costs incurred by companies. Our AI-based solutions are 3x faster and 50% lower in costs while maintaining expert-level quality with subject-matter expertise

English Korean

Bering Lab

33.5

Google

4.6

Microsoft

5.2

Amazon

7.0

Papago
(Naver)

7.7

Korean English

Bering Lab

45.1

Google

18.2

Microsoft

14.8

Amazon

14.3

Papago
(Naver)

13.8

Legal BLEU Scores

법률 블루스코어

Korean English

Bering Lab

56.84

Google

41.7

Microsoft

25.0

Amazon

25.9

Papago
(Naver)

8.6

English Korean

Bering Lab

44.67

Google

21.1

Microsoft

14.5

Amazon

12.7

Papago
(Naver)

18.3

Patent BLEU Scores

특허 블루스코어

Neural Machine Translation

Based on artificial neural networks, our engine is purely data driven, and significantly outperforms previous statistical or rule-based MT approaches

Domain-Specific Training Data

We train our domain-specific NMT engines with a mix of publicly available data as well as our own proprietary data based on 10+ years of translation service experience, which results in vastly superior MT performance

Intelligent CAT Tool

IntelliCat, the cloud-based CAT tool with Bering Lab's AI engine, boosts translation productivity by up to 3x compared to manual translations

Data Security

Your data is always protected with the most robust level of encryption and anonymization, and is never used or sold for any purpose other than our translation service

FEATURES

Automatic
Post-Editing*

Our model incorporates cutting-edge Automatic Post-Editing (APE) technology, improving performance by automatically correcting errors in the MT output through learning from expert human post-edits

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Quality Estimation**

We have developed a state-of-the-art AI-based Quality Estimation (QE) model, predicting the required amount of corrections on both sentence-level and word-level

Word Suggestion

Translation suggestions based on our AI engine are built right in our CAT Tool and increase translators' productivity and accuracy

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Keep Source Formatting

Based on a proprietary source-target word alignment model, our MT engine automatically formats the translated document to match the original document without the need for human editing